Revenue Discovery
Transform portals, web research, emails, CRM data, account intelligence, and market signals into structured workflows that find, qualify, and prioritize opportunities.
Sales signals should provide a fact the rep can inspect and a hypothesis the rep can test. Distinguish inferred topic interest from observable company changes, attach the underlying evidence, and qualify the account before turning a warm score into outreach.

Compare inferred research intent with observable company events, then use source evidence to decide which accounts deserve sales attention.
Transform portals, web research, emails, CRM data, account intelligence, and market signals into structured workflows that find, qualify, and prioritize opportunities.
Use public records, niche data, and CRM history to produce verified leads, with a written reason each account is worth contacting this week.
Research accounts across a B2B market and deliver ranked prospects with supporting evidence and a clear reason for timely outreach.
Identify meaningful account changes, including new hires, filings, reviews, and contract renewals, then turn them into practical outreach reasons.
Combine observable account changes into written, evidence-backed reasons to reach out instead of relying on generic lead scores.
Receive a ready-to-work queue of accounts, contacts, and talking points aligned with your team’s own sales process and priorities.
Sales signals should provide a fact the rep can inspect and a hypothesis the rep can test. Distinguish inferred topic interest from observable company changes, attach the underlying evidence, and qualify the account before turning a warm score into outreach. Topic-based intent data infers interest from patterns of online research and commonly reports it as an account-level score. It can suggest where to investigate, but it does not identify a confirmed purchase, a budget owner, or the reason an account must change suppliers. Keep that inference separate from the underlying observations. A buying signal in this comparison is an observable company event: a named employer hired a new operations leader, a facility received a permit, a business completed an acquisition, or a public contract reached a documented renewal point. Store the original source, event date, publication date, and company identity so a representative can inspect the fact. Consider a logistics business adding a warehouse. A permit or a dated job posting can establish that expansion activity occurred; the belief that it needs a new transport provider remains a sales hypothesis. Compare that evidence with a research-intent score, which can flag topic interest without establishing the operational change or identifying the decision-maker.

For this evaluation, ask Intellectible to demonstrate the account evidence, review rules, and seller handoff for your own market and service offer.
Turn account changes and market activity into written reasons for timely, relevant outreach.
Bring public data, niche research, CRM history, and account context into one operating workflow.
Reduce repetitive research and support revenue growth without adding additional headcount.
Combine out-of-the-box revenue engines with bespoke customization for your team’s process.
Led by builders focused on practical AI-powered revenue operations.

Jesse Lozano is a driving force behind Intellectible, the horizontal AI build platform headquartered in Austin, TX, designed to help businesses grow revenue while reducing the operational overhead required to win. With a deep focus on workflow automation, AI-powered business systems, and revenue operations, Jesse leads the development and delivery of Intellectible's production-ready engines and full developer suite. His expertise spans visual workflow design, data integration, and custom application building, empowering teams across government contracting, healthcare, economic development, and beyond. Jesse is committed to helping organizations scale their revenue processes without adding headcount, delivering measurable outcomes like 95%+ time savings on opportunity decisions and 150%+ increases in actionable pipeline opportunities for clients including Oceus, HHS, and Empire Equipment Service.
Topic-based intent data infers interest from patterns of online research and commonly reports it as an account-level score. It can suggest where to investigate, but it does not identify a confirmed purchase, a budget owner, or the reason an account must change suppliers. Keep that inference separate from the underlying observations.
Talk with Intellectible about building a more focused revenue research workflow.
Share your goals and current process to explore how Intellectible can support your revenue team.
You can also send us a quick email at jesse@intellectible.com.
You can also send us a quick email at jesse@intellectible.com.