Build. Ship. Deploy. Scale.

Simple enough to launch in hours. Sophisticated enough to build the front end, back end, data layer, AI engines, integrations, jobs, and runtime behind enterprise operations.

Not just workflow automation. Actual applications.

Most automation tools stop at the workflow. Intellectible keeps going. Build the interface, run the logic, store the data, read the documents, connect the systems, schedule the jobs, expose the app, and control who can use it.

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Build the app

Design pages, forms, dashboards, portals, and internal tools that connect directly to your workflows.

Power the logic

Turn every click, upload, and form submission into AI-driven workflows with documents, data, APIs, and code.

Operate the system

Publish tools, schedule jobs, process batches, manage access, and connect the systems your team already uses.

Tab Image
Tab Image
Tab Image

Build the app

Design pages, forms, dashboards, portals, and internal tools that connect directly to your workflows.

Power the logic

Turn every click, upload, and form submission into AI-driven workflows with documents, data, APIs, and code.

Operate the system

Publish tools, schedule jobs, process batches, manage access, and connect the systems your team already uses.

Build enterprise systems without rebuilding the foundation

Use one workspace to create the apps, workflows, data layers, AI logic, integrations, and governance behind your business operations.

Build the system. Skip the stack.

CREATE ANYTHING

Use one workspace to create AI apps, workflows, data layers, integrations, and governed enterprise automation.

Pages

Forms

Dashboards

Workflow apps

AI engines

Agents

Knowledge systems

Client portals

Internal tools

Data products

Approval queues

Jobs & batches

Proposal engines

Pricing engines

GovCon engines

Your infrastructure pre-built.

READY OUT OF THE BOX

Runtime, databases, parsing, retrieval, APIs, permissions, deployment, and governance come built in.

Front-end scaffolding

Workflow runtime

Database setup

File parsing

AI retrieval layer

API endpoints

Webhook plumbing

Job runners

Batch processing

Deployment scripts

Runtime handoff

Team access

Versioned publishing

Connection setup

Everything stays connected.

Pages trigger workflows. Workflows read documents. AI writes to databases. Databases power applications. Jobs keep the work running. Connections push the result back into the systems your business already uses.

Build the logic visually. Keep the power of code.

Start with a blank canvas. Drop in nodes. Connect the path. Watch data move from step to step.

Build one-click automations, document processors, AI agents, approval flows, data pipelines, internal tools, and full enterprise systems without turning every idea into a six-month engineering project.

Branch, loop, transform, validate, and route data across complex business processes.

Reuse logic with subflows instead of rebuilding the same steps again and again.

Add JavaScript or Python when the workflow needs custom code.

Build the front end, not just the workflow.

Your automation does not have to live behind a button in someone else’s app. It can become the app.

Create pages, portals, dashboards, forms, tools, review screens, and internal applications with a visual UI builder connected directly to workflows, databases, documents, and AI.

Design pages, components, containers, inputs, charts, tables, and responsive layouts.

Collect files, instructions, selections, and user input from clean front-end experiences.

Publish live tools with implementations, version controls, and protected workflow logic.

Store data without bolting on another tool.

Every serious system needs memory. Intellectible includes project-scoped databases for structured records, workflow state, AI outputs, reporting data, reusable content, and operational memory.

Use the back end to run AI, process documents, transform data, query databases, call APIs, send messages, update systems, and return outputs to the front end.

Use visual queries, raw SQL, database nodes, and SDK access from code.

Power dashboards, queues, records, approvals, and long-running workflows.

Use vector search and AI memory for knowledge-driven applications.

Build AI around the work, not the other way around.

Generic AI is easy to demo. Enterprise AI has to read the right documents, follow the right process, update the right systems, store the right outputs, and give the right people control.

Use AI inside workflows to summarize, extract, classify, write, search, reason, analyze images, and generate structured outputs grounded in your source material.

Read RFPs, contracts, policies, transcripts, pricing files, research, and internal knowledge.

Extract requirements, dates, risks, fields, clauses, scores, and decision criteria.

Turn AI responses into workflows, records, dashboards, jobs, emails, and live apps.

Give every workflow the sources and systems it needs.

Upload documents once. Parse, chunk, index, search, and reuse them across workflows, applications, and AI engines.

Then connect the workflow to the rest of the business — email, calendars, file systems, CRM, chat, APIs, webhooks, and MCP-compatible tools.

Work with PDFs, DOCX files, CSVs, webpages, spreadsheets, reports, contracts, and SOPs.

Connect Gmail, Outlook, Drive, Google Calendar, SharePoint, Slack, Salesforce, APIs, and webhooks.

Trigger workflows from external systems or call Intellectible workflows from your own apps.

From prototype to production workflow.

A demo is not enough. Enterprise systems need jobs, schedules, batches, permissions, access control, reusable workspaces, and safe ways to expose tools to users.

Run workflows now, later, on a schedule, or across thousands of database records. Keep systems organized by project, assign team roles, and protect deployed workflow logic.

Use jobs for recurring reports, nightly enrichment, review queues, and batch processing.

Use projects to organize workflows, libraries, databases, AI research, resources, and deployments.

Use roles and permissions so owners, admins, and contributors have the right level of control.

Connect workflows to the systems your enterprise already uses.

Authenticate third-party accounts, assign them to projects, call external APIs, receive event data from outside tools, and expose workflows to your own systems.

Native integrations with Gmail, Outlook, Google Drive, Google Calendar, SharePoint, Slack, Salesforce, and other core business systems.

Flexible API and webhook connectivity through custom API Request nodes, Typeform webhooks, generic event sources, and tools like Tally, Airtable, Notion, Zapier, Make, and custom services.

Developer-ready workflow access with public APIs for workflow runs and Library operations, API-key authentication, and MCP nodes for tool calls, prompts, resources, and model-connected systems.

The building blocks for real business automation.

Intellectible gives teams the workflow primitives needed to model, automate, and scale complex business operations — from user input and control logic to AI, documents, data, integrations, web requests, batch runs, images, libraries, and custom code.

Inputs

Control Flow

Functions

Variables

State

Schemas

Documents

Tables

MCP

Databases

Vectors

AI Models

API Calls

Webhooks

Integrations

Queues

Jobs

Control nodes

Start, event, if, loop, variables, and routing logic for complex process paths.

Document nodes

Read documents, write to documents, and mark generated documents complete.

I/O nodes

Read webpages, parse CSVs, and use API Request nodes for external services.

List nodes

Filter, map, join, iterate, and transform repeated records or extracted items.

Image nodes

Resize, crop, brighten, and process image inputs inside workflows.

Connection nodes

Use authenticated external accounts and project-scoped integrations inside workflows.

Form nodes

Form events, load form data, set form data, close forms, and user-triggered actions.

Data nodes

Dictionaries, lists, for-each operations, structured objects, and intermediate state.

Processing nodes

Formula nodes and Run Code nodes for calculations, transforms, and custom scripts.

Web nodes

Handle URL and domain logic for web-driven workflows and research.

Database nodes

Insert, read, query, delete, count, and vector-search project database records.

MCP nodes

Call model-connected tools, prompts, and resources from workflow logic.

Flow nodes

Inputs, outputs, and sub-workflow calls for clean modular, repeatable systems.

AI nodes

AI Write, Search, token counting, extraction, drafting, summarization, and classification.

Text nodes

Trim text, change case, search strings, clean outputs, and format generated content.

Library nodes

Find, write, move, rename, delete, and retrieve files from the project Library.

Batch nodes

Use batch index and batch data inputs to run workflows across jobs and table rows.

Code nodes

Run JavaScript or Python with packages, inputs, outputs, APIs, SDKs, and ML libraries.

Control nodes

Start, event, if, loop, variables, and routing logic for complex process paths.

Form nodes

Form events, load form data, set form data, close forms, and user-triggered actions.

Flow nodes

Inputs, outputs, and sub-workflow calls for clean modular, repeatable systems.

Document nodes

Read documents, write to documents, and mark generated documents complete.

Data nodes

Dictionaries, lists, for-each operations, structured objects, and intermediate state.

AI nodes

AI Write, Search, token counting, extraction, drafting, summarization, and classification.

I/O nodes

Read webpages, parse CSVs, and use API Request nodes for external services.

Processing nodes

Formula nodes and Run Code nodes for calculations, transforms, and custom scripts.

Text nodes

Trim text, change case, search strings, clean outputs, and format generated content.

List nodes

Filter, map, join, iterate, and transform repeated records or extracted items.

Web nodes

Handle URL and domain logic for web-driven workflows and research.

Library nodes

Find, write, move, rename, delete, and retrieve files from the project Library.

Image nodes

Resize, crop, brighten, and process image inputs inside workflows.

Database nodes

Insert, read, query, delete, count, and vector-search project database records.

Batch nodes

Use batch index and batch data inputs to run workflows across jobs and table rows.

Connection nodes

Use authenticated external accounts and project-scoped integrations inside workflows.

MCP nodes

Call model-connected tools, prompts, and resources from workflow logic.

Code nodes

Run JavaScript or Python with packages, inputs, outputs, APIs, SDKs, and ML libraries.

Build the system. Not just the workflow.

Intellectible gives enterprise teams one place to build AI-powered software from the ground up.