Specialized AI
The AI operating system for the way your company wins work.
Scale your revenue operation without adding corporate headcount.
Trusted by enterprise to scale revenue:
One revenue operation
We shape to the way you do business.
Every solution is built to your process. Deals land in the systems you already run, and the tools you glued together along the way collapse into one expandable, governed platform.
Bespoke software,
at the speed of a SaaS implementation.
Results
Measured in production, in customers' own numbers.
increase in qualified top of funnel
HHS
less search time
HHS
qualified opportunities reviewed per month
OCEUS Networks
ROI in under six months
Office Design Group
"They are helping us architect an intelligent operating system for growth — one that understands our business at a deep, structural level."
Derek Kissos · Head of Growth, HHS
"Since Intellectible, leadership's thinking around AI has changed. Now it's not 'does this work?' — it's 'what else can we plug into this?'"
Jeff Harman · President & CEO, OCEUS Networks
Your best people can't be everywhere. Their judgment can.
Intellectible encodes the judgment of your best people and applies it wherever the work runs. The exceptions and the approvals still land with a person — by design, at every review gate. That is also how a team the same size can carry far more of the work: the reading and the routing run at any volume, and the decisions stay with the people you trust to make them.
The platform underneath
Every layer is Intellectible technology.
The language models, the database, the runtime, the interfaces — built and run by Intellectible — so your IT team reviews one vendor, one security boundary, and one data boundary. It connects two-way to the systems you already run, and anything built on it can be served as an API, a webhook, or an MCP server.
Implementation
Build it with us. Then build it yourself.
Your experts sit with our specialists to map the process as it runs. We build the first solution and take it live in production. Then your team changes the rules and builds the next engine without us.
Map the process
We work with your experts to capture the real workflow: rules, edge cases, approvals, source material, systems, and the quality bar.
Build and launch
We configure the workflows, libraries, data, interfaces, integrations, and review loops, and ship them to production with your team owning the controls.
Train the builders
Your operators, analysts, and technical leads learn to maintain, extend, and create the next systems themselves.
U.S.-based implementation specialists
Run your revenue operation on Intellectible.
Book a demo and we’ll map the way your company wins work onto the platform. Scale revenue without scaling headcount.
Not ready to talk?
Get the implementation series.
How enterprise service providers are putting AI into their revenue operation: what they automated first, where people stayed in the loop, and what changed.
The Intellectible Platform
Build the operational AI systems your business keeps trying to invent in spreadsheets.
From prompts and prototypes to workflows, data, applications, integrations, jobs, and controls your teams can run in production.
Build → Run
From workflow canvas to working application.
The runtime
A single deployment can clear tens of thousands of runs a day.
That’s a normal day on the Intellectible runtime: nightly sweeps, scheduled jobs, event triggers, review gates — the revenue operations a business runs on. We built it end to end, so the ten-thousandth run of the day behaves like the first.
From the product
Every system is a project.
Each system your teams run — solutions, trackers, intake systems, sandboxes — lives as its own project: workflows, data, pages, jobs, and roles bound together.
The architecture
Nine layers. All of them ours.
Most platforms orchestrate other companies’ tools — a database from one vendor, a front end from another, jobs from a third. Intellectible built every layer: the runtime, the database, the front end, the jobs, one system. One vendor, one security review, one data boundary.
A bounded environment for one system, department, or solution — workflows, files, data, pages, roles, connections, and run history stay together.
Connect events, data, documents, AI, code, decisions, and human review into a repeatable process.
Source files, parsing, extraction, retrieval, and evidence — reusable context brought into the work.
PostgreSQL records, tables, JSON, vectors, full-text search, and workflow state.
Forms, dashboards, portals, operating screens, and bespoke React interfaces.
Connect business systems, call APIs and webhooks, extend with JavaScript or Python, reach anything via MCP.
Scheduled jobs, event triggers, batch runs, deployed applications, and production execution.
Access, scopes, approvals, human review, source visibility, traceability, and data boundaries.
Proven systems and reusable components instead of a blank canvas.
Compared
Three ways to get operational software.
“What Intellectible is building for us goes far beyond automation. They are helping us architect an intelligent operating system for growth — one that understands our business at a deep, structural level.”
Company-specific, without starting from scratch.
Start with one solution or one workflow. Either way you’re building on the platform you keep.
Not ready to talk?
Get the implementation series.
How enterprise service providers are putting AI into their revenue operation: what they automated first, where people stayed in the loop, and what changed.
Turn expert process into executable workflow logic.
A visual, node-based canvas where documents are read, data is transformed, rules are applied, decisions are routed, and systems are updated — every workflow a governed, repeatable process.
A production workflow
Complex logic, built on a canvas and called from the software your team uses or builds on Intellectible.
Every step in your process becomes a node.
A workflow is a sequence of connected nodes; the connections define how execution and data move between them.
Control the flow
Branch, loop, and route every record down the correct path — including the exceptions.
Add AI where it helps
Classify, summarize, draft, or extract as one step in a larger process. Model, prompt, temperature, and seed are settings on the node.
Process documents
Parse files into structured fields that keep their source attached.
Transform data
Query, reshape, and combine records so every downstream step gets the input it expects.
Connect systems
External calls carry their own timeouts, retries, and concurrency limits.
Return documents, records, and messages
Results land where the team already works.
Anatomy
A workflow you control.
Codify the exact way your company works on a visual canvas. Each step has one purpose, and your team can read, change, and run every one of them.
Build → Run
Your team gets the app. You get the canvas.
Your team works in a page, an internal app that lives in the same project as the workflow. The canvas behind it does the work and can hold hundreds of nodes the team never has to see.
What your team seesWhat you builtDiscipline
Every AI step is explicit.
Prompts are part of the build — readable on the canvas, versioned with the workflow, and strict about what the model may not do. Select from large language models hosted by Intellectible, or bring your own key to any project and use OpenAI, Gemini, Claude, and others.
“You extract only what is explicitly stated in the provided opportunity documents, RFP text, notice text, and attachment summaries.”
“Do NOT guess, infer, embellish, normalize, or assume facts beyond the text.”
“If information is missing, unclear, or only implied, write
System prompt from a document-extraction step in one of our production workflowsnulland explain the issue indata_gaps. Return JSON only.”
Scale
Workflows the size of your process, on a runtime that doesn’t fall over.
Small processes stay small. Large ones grow into connected systems of subflows, workflows that call other workflows, and whole builds exposed as APIs. Our own production systems are built this way: they screen thousands of opportunities a day against rule sets a hundred checks deep, and the runtime can clear tens of thousands of steps a day.
Operations
Runs are scheduled, sequenced, and logged.
A job chains several workflow runs into one unit and passes data between them. It can run now, after a delay, or on a schedule.
Around the canvas
The canvas is half the builder.
Every workflow lives in a project, beside the pages and data it works with — versioned with restore points, callable as an API.
For developers
Visual for speed. Code when it counts.
Standard nodes cover the flow; JavaScript and Python nodes cover the edge cases — each execution isolated, limited, and cleaned up.
# code node · fresh isolated environment per runrows = [r for r in inputs["records"] if r["fit"] >= threshold]return {"qualified": rows, "count": len(rows)}
The solutions on this site are workflows like this one, built on this canvas and run in production for customers.
Company-specific, without starting from scratch.
Bring a process your experts still babysit. We’ll show you the workflow it becomes.
Production applications, built to the way your team works.
Forms, pages, dashboards, portals, and full React applications that collect inputs, run workflows, and return results to the same screen.
In production
Intellectible’s products are built here.
Six solutions run in production at enterprise service providers — each one an application with its own database, roles, versions, and workflows behind the screen.
What an application is built from.
Collect structured input
Fields, file uploads, and document pickers. Each one is an input a workflow can read.
Design multi-page experiences
Guided flows for intake, analysis, review, approval, and self-service tools.
Connect UI to workflow logic
Submitting a form runs the workflow, and the result returns to the same screen.
Display generated results
Summaries, extracted fields, tables, charts, and reports.
Build with React components
Layouts, containers, data grids, images, and reusable structures. The result is a React application.
Publish to your team or your clients
An approved version goes live, and you choose which workflow version it runs.
Internal & client-facing
The same application can face your team or your clients.
Internal tools and published applications run on the same platform, so your IT team reviews one vendor, one security boundary, and one data boundary.
Dashboards, review queues, admin consoles.
Only your team sees them, and they change as often as the process does.
Client portals and intake tools for people outside the company.
Clients and partners use the application. The workflow logic and the data stay inside the platform. Governed by roles and versions →
Every application is a React front end over PostgreSQL, and every workflow behind it can be served as a REST endpoint, a webhook, or an MCP server.
Company-specific, without starting from scratch.
In a walkthrough we open one solution and show the workflow behind each screen.
Connect Intellectible to the systems your teams already run.
Authenticated app connections, webhooks, a public API, MCP servers, live web actions, and custom code — so workflows move through your stack instead of sitting beside it.
Automation has to move through the systems where work already happens.
Multiple integration paths, from authenticated app connections to event-driven webhooks and direct workflow API calls.
Authenticated connections
Connect supported apps — SharePoint, OneDrive, Outlook, Gmail, Drive, Calendar, Salesforce, Slack, and Microsoft and Google environments where supported — and use them inside workflows.
Webhooks
Let external services trigger workflows automatically when events happen — form submissions, new records, system changes.
Public API
Call workflows synchronously from another application and return JSON. Upload, list, and download Library files through documented endpoints.
Custom code
JavaScript or Python nodes for specialized transformation, custom API logic, and business rules beyond standard nodes.
MCP servers
Connect workflows to MCP-compatible tools, data sources, and services — external context and actions through a standard interface.
Web & API actions
Read webpages, search and crawl sites, and call external APIs when a workflow needs live data beyond connected apps.
From the product
Connections are accounts, not code.
Pick the provider, name the connection, authenticate with the system itself — and grant it to the projects that need it. Workflows use the connection; nobody handles credentials in a node.
Three launch patterns.
Event-driven intake
Start workflows when another service sends data: verified webhooks with signatures and tokens.
Embedded workflow logic
Run a workflow synchronously from your own application, inputs in, structured outputs back.
Revenue workflows
Salesforce connections enriching records, routing opportunities, and coordinating next actions.
Model Context Protocol, in plain English.
An open standard that lets workflows use external tools and data through one interface. Practical translation: if a system speaks MCP, Intellectible can read from it and act on it — no custom glue.
Three paths reach it.
The REST API, an MCP server, or a code node. If it has an interface, a workflow can work it — and governance still applies.
For developers
The API, at a glance.
# inbound · verified webhookPOST /v1/workflows/intake/trigger X-Intellectible-Signature: sha256=9f2c…{ "event": "form.submitted", "record": "opp_1042" }
# outbound · synchronous workflow callHTTP 200 · workflow complete{ "output": { "fit": 92, "route": "capture" } }
Company-specific, without starting from scratch.
Bring your stack list. We’ll map the read and the write-back for each system.
Turn your documents and records into context your workflows can use.
Project Libraries parse and index the documents; built-in PostgreSQL databases hold the records; Intellectible workflows get the context they need — with the source still attached.
Your business already has the knowledge. Intellectible makes it usable.
Important processes depend on documents, spreadsheets, reference files, historical outputs, and operational records. This layer brings those assets into the workflows that need them.
Built-in PostgreSQL databases.
Project-scoped relational databases give every workflow a durable place to store, query, update, enrich, and reuse structured records.
- Database nodes for read, write, query, delete, count, and vector search.
- Structured memory for outputs, form submissions, reports, and operational records.
- Visual queries for most work; raw SQL when you need it.
The Project Library.
A centralized file layer per project where teams upload, organize, parse, index, and reference documents inside workflows.
- PDF, DOCX, TXT, CSV, and web sources supported.
- Parsed markdown plus searchable indexed chunks for retrieval.
- Library access from workflow nodes and custom code.
For developers
Query it your way.
Point, filter, sort.
SELECT company, fitFROM pursuitsWHERE fit > 90ORDER BY due;
Company-specific, without starting from scratch.
Bring your messiest documents. We’ll map how they’d become parsed, indexed, answerable records.
Automation your security team can sign off on.
Roles, version pinning, and verified webhooks are set per project, and code runs in isolation on every run. The language models are hosted by Intellectible unless you bring your own key, and your records stay in a database scoped to your project.
Your data
Your data is yours.
The language models, the database, the runtime, and the interfaces are built and run by Intellectible, so your IT team reviews one vendor, one security boundary, and one data boundary.
Ownership
Your documents, records, and outputs are your data. Intellectible uses them to run and support your systems.
Language models
Unless a project brings its own key, prompts, documents, and extracted fields go to language models hosted by Intellectible, inside the same boundary as the database. The request and the response stay in your project.
Run history
Every workflow run leaves a record in your project. Your admins can see what ran and when — use of your data is visible.
Bring your own key
Any project can use your own key for OpenAI, Gemini, Claude, or another provider. Those requests run under your agreement with that provider.
Databases per project
Each project has its own PostgreSQL databases — as many as your systems need. Records, files, run history, and permissions stay inside that project.
Access
Permissions are set on each record and file, and answers respect them. A person cannot reach a restricted record by asking a question about it.
Controls built into the platform.
Ownership, visibility, versioning, and how a workflow is exposed beyond the builder are all settings on the project.
Project boundaries
Workflows, files, databases, pages, permissions, and run history organized around a specific client, team, or system.
Team permissions
Owners, admins, and contributors. Each role has an explicit scope for what its members can see and change.
Published applications
Users see the published application only. The workflow logic, the data, and the admin controls stay inside the platform, with the roles that hold them.
Version pinning
A published application runs the latest workflow version or is pinned to a specific one. A change to the workflow does not reach a pinned application.
Verified webhooks
Inbound webhooks are verified by signature or token header over HTTPS endpoints. Sensitive headers are filtered at the boundary.
Isolated code execution
JavaScript and Python run in fresh, isolated environments with execution limits and cleanup after every run.
From the products
What control looks like on screen.
The solutions are packaged systems built on this platform. Their screens show the same controls at work: a person approves before anything is sent, permissions are set on each record, and a board holds work that is missing a required field.
Company-specific, without starting from scratch.
Bring your IT and security reviewers. We’ll answer their questions directly.
Everything your team builds runs on one managed runtime.
A published workflow is served as an application, a job, an API endpoint, a webhook, or an MCP server, without leaving the project it was built in.
What a production system needs to run comes with the project.
In a conventional build, deployment is its own project with its own owner. On Intellectible, the runtime, data, interfaces, jobs, APIs, and permissions are already inside the project the workflow was built in.
The boundary
Each workflow runs inside the project that holds its data and roles.
A workflow, its PostgreSQL databases, its pages, its jobs, its connections, and the roles that control them stay inside one project, and the workflow runs against that project’s data.
Jobs
A job runs a workflow on demand, after a delay, on a schedule, or across a batch, and every run is kept in its history.
Team permissions
Owners, admins, and contributors are set per project. Who can build, publish, connect to, and use a system is decided there. Roles and permissions →
Capacity
A single deployment can clear tens of thousands of runs a day, and every run of a code node starts in a fresh, isolated environment that is cleaned up when it finishes. See the runtime →
Versioning
Versions publish when you decide.
Editing a workflow creates a new version and leaves the published one running. A published application runs the latest version or stays pinned to a specific one, and earlier versions can be restored.
In production
Six solutions run on this runtime.
Intellectible’s six solutions run on this runtime as published applications and scheduled jobs, in production at enterprise service providers.
GovCon
Opportunity discovery runs as a scheduled job each weekday morning. The briefings and the review queue are one published application.
Revenue Discovery
Scheduled jobs read your accounts overnight. A person promotes each signal, and every drafted email and call script waits on approval.
Proposal & Pursuit
Intake and qualification run as a published application, and every draft is versioned inside the deal it belongs to.
Pricing
Rates and formulas run as versioned, approved calculations. Exceptions wait for sign-off, and the output document is generated from the approved numbers.
Knowledge
Upload, duplicate check, and extraction run as one pipeline. The review queue and the Ask screen are published applications.
CRM & Operations
Stage automations run as jobs behind the boards, and the opportunity board and the work board are published to the team.
Company-specific, without starting from scratch.
We’ll walk one workflow from the canvas to a running app, job, or webhook.
The one-stack solution
Win more of the right work without scaling the team behind it.
We build each solution around the way your company wins work, and they run together on one platform, synced two-way with your systems of record. When you need something no vendor sells, we build that too, on the same stack.
Built to your process. Delivered and run like SaaS.
Results
Measured in production, in customers’ own numbers.
increase in qualified top of funnel
HHS
less search time
HHS
qualified opportunities reviewed per month
OCEUS Networks
ROI in under six months
Office Design Group
The revenue system
A digital twin of your revenue process.
We learn the way your company wins work — the stages, the handoffs, who signs off — and our US-based implementation specialists replicate your human process with the Intellectible AI as one connected system. Scale your enterprise growth without adding to your corporate overhead.
The solutions
Start with what you need most.
All of them run on one foundation, and each one leaves more in place for the next.
We want to increase our federal revenue.
GovCon
We want to know which customers are ready to buy.
Revenue Discovery
We need to get more bids out the door.
Proposal & Pursuit
We need to get pricing out of the spreadsheet.
Pricing
We need to be more organized.
CRM & Operations
We need our company’s knowledge out of a few heads.
Knowledge
We need a tool nobody sells.
Custom Systems
Start with one solution. End with an operating system.
Bring a deal you’re pursuing. We’ll map how it would run, signal to submission.
Not ready to talk?
Get the implementation series.
How enterprise service providers are putting AI into their revenue operation: what they automated first, where people stayed in the loop, and what changed.
Find the opportunities that fit. Know why. Move from capture to submission faster.
Intellectible’s complete government capture system: qualified federal, state, and local opportunities with the reasoning attached, incumbent and market intelligence, RFP analysis, and pursuit decisions leadership can defend.
GovCon
Your team starts the day at the shortlist, not the notices.
Overnight, the system reads every notice in your market, scores each one against your win conditions, and writes the briefing. Your team opens dashboards and records, decides what to pursue, and starts capture with the reasoning already attached. What it watches and how it scores is set with your team. Pick a track and click through.
Five short tours
1 / 6Last night’s run: 2,312 analyzed, 12 worth a look.
Inside GovCon
Your capture process, end to end.
Every stage your capture team runs by hand exists in the engine as a working tool — fed overnight, scored against your capture profile, and reviewed by your people.
Every briefing arrives with its reasoning attached, and the decision to pursue stays with your team.
Triage the market without losing the details.
Every notice becomes a structured capture record — agency, office, NAICS, PSC, timing, scope, fit rationale, risk signals, and a recommended action.
- Match against your target agencies, geographies, deal sizes, vehicles, and exclusions.
- Score fit on the work itself, not keyword matches — with capture rules your team sets.
- Keep low-fit noise out of the team’s daily workflow.
Cover the market your competitors skip.
State, county, and city solicitations arrive in the same shape as federal work — jurisdiction, agency, budget, close date, and a match score — in one dashboard your team already knows how to read.
- One capture profile scores both markets — no second tool to staff.
- Filter by jurisdiction, agency, NAICS, and due window.
- Save a bid into the same pipeline your federal pursuits run through.
Find the contract behind the opportunity.
Award history, contract timing, agency patterns, value ranges, and scope similarity show who may already be positioned — before capture dollars are committed.
- Identify likely incumbents and expiring contracts.
- Benchmark award size, duration, and buying behavior.
- Surface teaming targets and competitive threats early.
Know who you’ll face before you pursue.
Award history becomes a practical market picture: bidder density, vendor concentration, comparable past performance, vehicle access, and customer overlap.
- Rank likely competitors by customer, NAICS, PSC, scope, and vehicle signals.
- See whether the market is crowded, incumbent-heavy, fragmented, or open.
- Give leadership a decision-ready view of competitive pressure.
Understand the market before the RFP drops.
For RFIs, sources-sought notices, and early-stage opportunities, the engine builds a market report from related awards, likely incumbents, and benchmark values.
- Search by agency, office, NAICS, PSC, scope, and keyword context.
- Identify vulnerable incumbents and follow-on timing.
- Create a leadership-ready snapshot for shaping and teaming discussions.
From tracked company to first teaming call.
Turn RFPs into pursuit decisions faster.
Encode your capture logic.
The capture profile encodes what the team carries in their heads — target customers, capabilities, past performance, economics, geography, vehicles, certifications, and disqualifiers. The engine scores with it from the first run, and it stays yours to tune.
- Define positive and negative fit signals.
- Set deal-size thresholds, geography, delivery models, and target missions.
- Downscore opportunities that look good on paper but don’t match your business.
qualified opportunities reviewed per month
OCEUS NETWORKS · CASE STUDY · JAN 2026 · READ →
added to qualified top-of-funnel pipeline per year
OFFICE DESIGN GROUP · GOVCON · LIVE AFTER TWO MONTHS · 2026
“Now we’re looking at more than double the qualified opportunities per week — about seven to eight opportunities a month making it through our threshold.”
Win more of the right work — without scaling the team behind it.
Book a GovCon demoThe platform
One platform for the entire way your company works.
GovCon runs on the same platform as everything below: proven solutions for the work every company shares, and a build platform for the work only yours does.
Revenue Discovery
The same signal discipline, pointed at commercial markets.
Proposal & Pursuit
From solicitation drop to versioned final draft.
Pricing
From messy intake to a defensible number.
Knowledge
Company knowledge, approved before it’s quotable.
CRM & Operations
The CRM that moves the work, synced to your systems of record.
A system only you run
Custom operational systems, built on the same layers.
Underneath them all is the build platform — workflows, records, human review, bespoke apps — shaped to how your company works. Explore the platform →
Start with one solution. End with an operating system.
Bring your pipeline. We’ll map it onto the engine, stage by stage.
NEXT: Proposal & Pursuit →
Your next customers are already signaling. Be the first call they get.
Funding rounds, hiring, expansion, M&A — the standard feeds are covered. The tells that set you apart are the ones your team adds. When a tell fires and holds up, the account lands in your queue with the evidence attached.
increase in qualified top of funnel
HHS · IN PRODUCTION
less search time
HHS · IN PRODUCTION
The wall of signals
The signals only your business knows to watch.
No rep can watch every account closely, and the signals fire either way — the difference is who sees them. Anything your team checks to qualify an account — a review score, a permit filing, a seasonal window — can run as an always-on signal, next to the standard feeds that come wired.
Every tool watches the standard feeds. The tells that predict your deals are the ones your team writes in.
Revenue Discovery
Software that hunts like your best rep — on every account, every day.
Your team defines what a buying signal looks like. The system runs those definitions at a scale no team can staff.
1 / 8Your morning starts here: every account where a tell fired overnight, ranked, with the standard feeds running beside the tells your team wrote.
Your rules
Your judgment, automated — and running around the clock.
The rules for what matters, what’s urgent, and what needs a person — written down once, applied to every account.
The most important signals rise to the top.
Every account is scored for fit and urgency using your team’s priorities, so the queue opens on what matters most — with the reasoning attached.
- Your tells weigh more than the standard feeds.
- Every weight is editable in your admin.
Always watching, on your schedule.
Some signals get checked daily, others nightly or weekly — you set the rhythm for each one. Adding a new signal is a settings change, not a project.
- Every schedule is visible and editable.
- New signals go live as a settings change.
Human approval, wherever you require it.
Anything that touches a customer or your systems can require a person’s sign-off — outreach, CRM updates, handoffs. The engine drafts everything and sends nothing.
- No bulk email. No LinkedIn automation. No auto-CRM writes.
The platform
One platform for the entire way your company works.
Revenue Discovery runs on the same platform as everything below: proven solutions for the work every company shares, and a build platform for the work only yours does.
GovCon
The same signal discipline, pointed at the federal market — a recompete window is a codified signal.
Proposal & Pursuit
From solicitation drop to versioned final draft.
Pricing
From messy intake to a defensible number.
Knowledge
Company knowledge, approved before it’s quotable.
CRM & Operations
The CRM that moves the work, synced to your systems of record.
A system only you run
Custom operational systems, built on the same layers.
THE SAME DISCIPLINE, MEASURED: OFFICE DESIGN GROUP ADDED $56M A YEAR OF QUALIFIED TOP-OF-FUNNEL — ON GOVCON →
SIGNAL QUALIFIED? A DISCOVERED SIGNAL BECOMES A PURSUIT IN PROPOSAL & PURSUIT →
Underneath them all is the build platform — workflows, records, human review, bespoke apps — shaped to how your company works. Explore the platform →
Start with one solution. End with an operating system.
Tell us your market. We’ll show you which of your tells can run as signals.
Not ready to talk?
Get the implementation series.
How enterprise service providers are putting AI into their revenue operation: what they automated first, where people stayed in the loop, and what changed.
NEXT: GovCon →
More bids out the door, every one defensible.
The whole pursuit — solicitation drop to submitted draft — in one governed system, shaped to how your team pursues work: your approved language does the writing, your people make the calls.
“Intellectible is taking the tedious, monotonous hours of RFP efforts out of human hands. This allows us to do what we should be doing — analyzing and selling.”
John Grady · Director of Business Development, HHS
Proposal & Pursuit
One RFP, qualification to final draft.
One RFP moves through scored qualification, a compliance matrix, deal variables, drafting from your approved language, and versioned finals. Anything the system flags routes to your team for approval.
1 / 8Each pursuit gets one workspace: the RFP, its stage, its activity, and the outstanding items — visible to the whole team.
The workspace
Built to your proposal process.
Before anything goes live, your team and ours map the pursuit: your stages, your sections, your deal variables, your approval gates. Five stages in this build — yours runs on yours.
The pricing side of this deal runs in Pricing.
Qualification
Bid the ones you can win.
An RFP costs the same nights and weekends whether you win it or not. Brief the opportunity and decide whether to bid — with the receipts in hand before anyone writes a word.
Stop treating every RFP like it deserves a yes.
A scored go/no-go against your criteria before the writing starts, with the conditions that make it a yes.
- Factor-by-factor calls in a report leadership can defend.
- Conditions on the GO become pre-submission work items, not surprises.
- Selling to government? The GovCon runs this same decision on live federal data.
Turn requirements into a checklist you can defend.
Every requirement gets a priority, an owner, and a status — grouped the way evaluators will check it.
- Mandatory versus high-priority, called row by row with owners.
- Risk flags surface before they become rejection grounds — a voided pricing workbook is caught here, not at upload.
- Download it for kickoff.
Deal variables
The machine confirms fifty. You decide eight.
Deal variables are the unique facts your proposals turn on — rates, facilities, terms, past performance. Your team defines them with ours during implementation; after that, the system extracts and confirms them on every pursuit.
Make every draft sound like this deal.
The variable model is shaped around what this vendor sells.
- Every value carries its source — down to the page of the RFP.
- Your response sits next to the requirement it answers.
Drafts & review
Every draft checked against the ask.
Review checks every draft against the ask, not just the grammar — and every pass lands as a version you can reload.
First drafts pointed in the right direction.
Sections generate from the RFP, the deal variables, and your fact bank — structured like the ask and honest about gaps.
- Generate one section or all of them; regenerate when inputs change.
- Unresolved variables appear as bracketed placeholders — the draft tells you what it doesn’t know.
- Markdown preview and direct editing on every section card.
Addenda change the deal. The engine keeps up.
Each addendum gets read for what changed, and the impact mapped against your sections and the current draft.
- Every change itemized with its source addendum.
- Impacted sections identified before anything is rewritten.
- One action updates the final draft; your section drafts stay untouched.
The platform
One platform for the entire way your company works.
Proposal & Pursuit runs on the same platform as everything below: proven solutions for the work every company shares, and a build platform for the work only yours does.
GovCon
Federal capture, from overnight notices to the bid decision.
Revenue Discovery
Always-on buying signals, built from how your team qualifies.
Pricing
From messy intake to a defensible number.
Knowledge
Company knowledge, approved before it’s quotable.
CRM & Operations
The CRM that moves the work, synced to your systems of record.
A system only you run
Custom operational systems, built on the same layers.
Underneath them all is the build platform — workflows, records, human review, bespoke apps — shaped to how your company works. Explore the platform →
Start with one solution. End with an operating system.
Bring your hardest RFP. We’ll map it against the system, qualification to final draft.
Not ready to talk?
Get the implementation series.
How enterprise service providers are putting AI into their revenue operation: what they automated first, where people stayed in the loop, and what changed.
NEXT: Pricing →
Turn spreadsheet logic into a controlled pricing system.
The costing logic that lives in one expert’s workbook, running as software the whole team can use — built around how your company prices, from deal intake to a defensible number. Sales moves faster; finance trusts every number.
Out of the spreadsheet
The workbook one person understands becomes a system your whole team can run.
Rate tables on hidden tabs, formulas only the author trusts, overrides nobody logs. Here, rates become reference data, formulas become approved calculations, and exceptions route to a person — the same math, where finance can read it.
Pricing
One deal, intake to output.
We learn how your pricing works — the drivers, the rates, who signs off — and translate it into software that runs it. Here, one deal goes from intake to output on rules a service team defined.
1 / 8A quick check qualifies the deal for right-size pricing — a few fields in, an estimate out.
The platform
One platform for the entire way your company works.
Pricing runs on the same platform as everything below: proven solutions for the work every company shares, and a build platform for the work only yours does.
GovCon
Federal capture, from overnight notices to the bid decision.
Revenue Discovery
Always-on buying signals, built from how your team qualifies.
Proposal & Pursuit
From solicitation drop to versioned final draft.
Knowledge
Company knowledge, approved before it’s quotable.
CRM & Operations
The CRM that moves the work, synced to your systems of record.
A system only you run
Custom operational systems, built on the same layers.
Underneath them all is the build platform — workflows, records, human review, bespoke apps — shaped to how your company works. Explore the platform →
Start with one solution. End with an operating system.
Bring one deal stuck in pricing. We’ll map its path from intake to output.
Not ready to talk?
Get the implementation series.
How enterprise service providers are putting AI into their revenue operation: what they automated first, where people stayed in the loop, and what changed.
NEXT: CRM & Operations →
Make company knowledge usable where the work happens.
The knowledge your company runs on — buried in drives, inboxes, and your most senior people’s heads — becomes approved, permission-aware records: searchable by people, usable by your other systems, governed from the moment they’re added.
Knowledge
One report, from upload to quotable.
One report becomes an approved, quotable record — signed off by a person, answering questions with its sources attached.
1 / 8Two required calls before a single byte is ingested: what kind of knowledge this is, and who is allowed to use it.
The gate
Nothing becomes quotable without a human signature.
Extraction takes seconds; approval takes a person. Every record carries its evidence, its reviewer’s decision, and the permissions that decide who gets the answer.
Answers cite — and answers decline.
The answer opens its sources and names its limits: it cites a record approved the same morning and refuses the report still sitting in review.
- “Sources used” opens the records behind every claim.
- Citations point at passages, not just documents.
- Unapproved material is named as off-limits — not silently blended in.
APPROVED KNOWLEDGE HAS A CUSTOMER: PROPOSAL & PURSUIT DRAFTS FROM A LIBRARY LIKE THIS →
A governed layer of company knowledge.
The expertise stops living in a few heads: veterans stop being the bottleneck, new hires ramp on approved answers, and what the company knows survives turnover. Who can find a record, who can use it, and who signed it off — the rules ride on every record, by role and by group. The categories are yours to define.
Why it’s different
Not a chatbot with memory.
One question, two systems: “What erosion life can we quote for the LP compressor case?”
“Erosion life is 14,000 hours — well within spec.”
Confident, uncited, and built on an interim figure no reviewer has approved. No sources to open, and every role gets the same answer.
“Measured erosion came in 12% under the acceptance ceiling — two approved records attached.”
“The PR-2160 interim report is still in review — its figures aren’t quotable yet.”
Citations you can open, permissions applied, and honest about what isn’t approved.
The platform
One platform for the entire way your company works.
Knowledge runs on the same platform as everything below: proven solutions for the work every company shares, and a build platform for the work only yours does.
GovCon
Federal capture, from overnight notices to the bid decision.
Revenue Discovery
Always-on buying signals, built from how your team qualifies.
Proposal & Pursuit
From solicitation drop to versioned final draft.
Pricing
From messy intake to a defensible number.
CRM & Operations
The CRM that moves the work, synced to your systems of record.
A system only you run
Custom operational systems, built on the same layers.
This solution is the platform’s knowledge layer with approvals and permissions built in. Explore the platform →
Start with one solution. End with an operating system.
Tell us where your team’s knowledge lives. We’ll map its path to approved, quotable records.
Not ready to talk?
Get the implementation series.
How enterprise service providers are putting AI into their revenue operation: what they automated first, where people stayed in the loop, and what changed.
NEXT: Revenue Discovery →
A CRM that moves the work, not just the record.
A CRM your team runs on Intellectible, synced two-way with the systems you already have. Work arrives as records with owners, stages, and due dates, and one stage change coordinates the notification, task, sync, and review that follow.
CRM & Operations
A CRM shaped to your solutions, your tasks, your pipelines.
An opportunity and lead pipeline built for your specific process — your objects, your stages, your boards.
1 / 8An opportunity arrives from GovCon, scored and saved with its summary attached.
An organization layer in the shape of your company.
Important work rarely stays inside one CRM field. Here, a saved GovCon opportunity, a qualified Revenue Discovery signal, an email thread — all of it lands as owned, staged records, and one stage move keeps every connected tool aligned.
The discipline
The board refuses to let coordination outrun the data.
Try to move work that has no client, no project, or no due date, and the system opens the record and asks for them — because every automation downstream depends on those fields being real.
The platform
One platform for the entire way your company works.
CRM & Operations runs on the same platform as everything below: proven solutions for the work every company shares, and a build platform for the work only yours does.
GovCon
Federal capture, from overnight notices to the bid decision.
Revenue Discovery
Always-on buying signals, built from how your team qualifies.
Proposal & Pursuit
From solicitation drop to versioned final draft.
Pricing
From messy intake to a defensible number.
Knowledge
Company knowledge, approved before it’s quotable.
A system only you run
Custom operational systems, built on the same layers.
Underneath them all is the build platform — workflows, records, human review, bespoke apps — shaped to how your company works. Explore the platform →
Start with one solution. End with an operating system.
Bring the handoff that breaks most often. We’ll show you what it looks like wired end to end.
Not ready to talk?
Get the implementation series.
How enterprise service providers are putting AI into their revenue operation: what they automated first, where people stayed in the loop, and what changed.
NEXT: Knowledge →
Custom systems
Build the workflow your SaaS tools cannot provide.
Production applications and operating systems for the company-specific work nothing off the shelf can reach — application review, environmental and compliance reporting, customer portals, education operations, and the workflows only your business runs.
The process is real. The software for it doesn’t exist.
Too specific
The process is too particular for off-the-shelf software — the vendors’ data model was never built for it.
Stitched together
The business has tried spreadsheets, forms, automations, and AI tools taped into a fragile chain.
Too slow to build
A conventional custom build starts from zero — too long, too risky, too little reusable infrastructure.
Needs to evolve
The process will change. The system has to change with it — without another rebuild.
How it works
From mapped process to production system.
- 01Map the processWorkflow, source material, data model, rules, roles, and the quality bar — captured with your experts.
- 02Build the systemApplications, workflows, document systems, data, integrations, and jobs on the platform.
- 03Launch with reviewImplementation support, human review gates, and operating ownership in place at launch.
- 04Train to expandYour team maintains, extends, and builds the next system on the same foundation.
What we build
The process that is yours alone, built as software.
GovCon, Revenue Discovery, Proposal & Pursuit, Pricing, Knowledge, CRM — each solution exists because that work repeats at every company. A custom system is the opposite case: the work no vendor ships, composed from the same platform.
The checklist
Is this you?
If most of these are yes, it’s a build.
The platform
One platform for the entire way your company works.
A custom system runs on the same platform as everything below: the build platform for the work only yours does, alongside proven solutions for the work every company shares.
GovCon
Federal capture, from overnight notices to the bid decision.
Revenue Discovery
Always-on buying signals, built from how your team qualifies.
Proposal & Pursuit
From solicitation drop to versioned final draft.
Pricing
From messy intake to a defensible number.
Knowledge
Company knowledge, approved before it’s quotable.
CRM & Operations
The CRM that moves the work, synced to your systems of record.
Every solution above is built from the same layers. When the work is yours alone, we compose them for you. Explore the platform →
Start with one solution. End with an operating system.
If nothing off the shelf fits, that’s exactly the conversation to have.
Company
Built by operators who’ve shipped AI in the real world.
Deep AI and SaaS experience with deployment discipline — a platform built for high-stakes, messy, document-heavy work, by people who’ve lived it.
The story
The difference between winning and losing was never “one more tool.”
Intellectible was built by founders who’ve lived complex, document-driven execution — where outcomes come down to SOPs, stakeholder alignment, and process discipline. That’s the work this platform was built for: too important to stay manual, too specific for generic SaaS, too operational for a chatbot.
Founding team
The founders.
Jesse Lozano
CEO · Co-founder
Seventeen years building tech startups. Law degree from King’s College London; built and exited his first automation company in 2013, then founded an EdTech company serving governments and raised $35M+ — high-stakes delivery across public and private sectors.
LinkedIn
Reuben Carter
CTO · Co-founder
Engineering leader with 10+ years in AI/ML and a track record building high-performance runtime systems and platforms.
LinkedIn
Rosie Higgins
CPO · Co-founder
Systems and data leader with 10+ years of enterprise experience running multi-million-dollar business systems and large-scale CRM and data integrations.
LinkedInHow we work
Build it with us. Then build it yourself.
Map the process
Your experts define the workflow, rules, edge cases, and quality bar — we capture it faithfully.
Build and launch
U.S.-based specialists configure and ship the first production systems, connected to your stack.
Train the builders
Your operators and technical leads learn to maintain, extend, and create the next systems.
Backed by
Built for work that’s too important to leave informal.
Start with the solution closest to the pain, then build the next one on the same foundation.
Contact
Tell us about the process. We’ll show you the system.
Bring the workflow that’s still living in spreadsheets and inboxes — and we’ll walk you through the solution that fits.
Book a demo directly.
Pick a time and we’ll map your workflow against the closest solution.
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