Adam Ventura Built Intraverbal AI on Licensed ABA Journals, Equipping BCBAs for Evidence-Based Practice

He licensed the journals

CORAL GABLES, FLORIDA — Most of the artificial-intelligence software moving into applied behavior analysis is built to do one job well: turn a therapy session into a compliant, billable note. Adam Ventura aimed his company at the other end of the problem. He licensed the journals.

Intraverbal AI, the company Ventura founded and runs as chief executive, built its tools on top of peer-reviewed behavior-analysis research instead of the open web. The company says it has signed content agreements with Springer and Wiley, two of the largest academic publishers in the world, and that its system now references more than 30,000 empirical sources. Wiley publishes the Journal of Applied Behavior Analysis, the field’s flagship applied journal. Springer publishes Behavior Analysis in Practice, the journal many clinicians reach for when they want service-delivery guidance.

Ventura calls the result an “intelligence layer” for behavior analysis, a phrase he uses to set Intraverbal apart from the documentation software most of his peers are building. The idea is that a behavior analyst should be able to ask a clinical question and get an answer drawn from the actual literature, with the citations attached, rather than guessing or buying journal articles one at a time.

The bet comes from someone who has already built and sold the kind of software he is now declining to copy. Ventura, a board-certified behavior analyst, spent more than two decades working in homes, schools, clinics and group homes, and taught for years as an adjunct at Florida International University. In 2010 he founded World Evolve, a multi-state ABA provider that he grew and then sold in 2018. He went on to help build and sell a practice-management software company. This publication previously profiled a separate Ventura venture, OBM Experience, which applied organizational behavior management to the problem of BCBA burnout.

Intraverbal’s AI helps clinicians make better behavior-analytic decisions

The AI rush in ABA has mostly pointed at paperwork. CentralReach, one of the industry’s largest practice-management platforms, markets AI that generates payer-compliant session notes and audits them before billing. RethinkBH and Raven Health sell their own versions, and a crop of smaller tools such as Mentalyc and Praxis Notes promise the same thing: record the session, produce the note, survive the audit. The appeal is obvious, because documentation is where behavior analysts lose their evenings.

Intraverbal competes in that arena too. Its suite includes Transcribe, which turns supervision sessions into structured summaries, and Insights, which drafts reauthorization paperwork from data captured on a clinician’s screen. But the part Ventura treats as the company’s reason to exist sits a layer above the note: a chat tool that answers clinical questions from the licensed literature, a monthly research digest called Signal, and a goal builder drawing on a library the company puts at more than 250,000 client goals.

Most ABA software promises to make the paperwork faster. Intraverbal is betting clinicians will also pay to think better.

The licensing is a wager about trust as much as content. General chatbots will answer a behavior-analytic question happily, and sometimes wrongly, inventing citations that do not exist. By limiting its sources to material it has licensed and vetted, and by stating that client data is encrypted and never used to train public models, Intraverbal is selling a form of AI that a cautious, ethically bound clinician can defend using. The company says its tools meet HIPAA and FERPA standards.

The research most clinicians cannot reach

Behavior analysts are required, by their own ethics code, to ground treatment in the best available evidence. Doing that is harder than it sounds. The behavior-analytic literature now runs to thousands of studies across decades of journals, much of it behind paywalls that practitioners lose the day they leave a university. In one pilot survey cited in the field’s research-literacy work, fewer than four in ten behavior analysts said they were satisfied with the research resources available to them, and many reported that they simply did not have time to find, read and apply studies. A frequent fallback is a general web search that was never built for behavior analysis.

That gap sits on top of a workforce already stretched thin. The United States had roughly 75,600 active board-certified behavior analysts in mid-2025, against demand inflated by an autism diagnosis rate the CDC now puts at one in 31 children. Surveys of behavioral-health clinicians routinely find that a large majority report some burnout. A tool that shortens the distance between a clinical question and a sourced answer is, on paper, aimed straight at that strain.

Whether software can close a research-to-practice gap the profession has argued over for years is a separate question. The literature has always been there. Getting clinicians to use it, under caseload pressure, is the part no one has solved.

What sets Intraverbal apart

By Ventura’s account, the company’s edge is the data it gathers as clinicians use it. Behavior analysts have asked and answered more than 100,000 ABA-specific questions through the platform, a figure the company describes as one of the largest collections of real-world behavior-analytic queries ever assembled. Each question, in his telling, is a record of how a clinician actually reasons: what they ask during an assessment, how they word a goal, where they get stuck supervising a trainee.

The product line has widened well past the original chatbot. Intraverbal now sells an assessment tool that moves from intake interview to draft treatment plan, the goal builder, the Transcribe and Insights documentation tools, the Signal research digest, and tutor, an exam-prep tutor aligned to the BACB task list for certification candidates. Universities have begun folding the tools into training: Felician University integrated Intraverbal into its graduate ABA program. The company says more than 2500 professionals across over 30 states now use the platform.

Ventura did not build the system alone. He credits a group of behavior-analyst subject-matter experts who shaped its clinical logic, among them Diana Anzures, Kristen Byra, Patrick Jecmen, Clélia Sigaud, Sarah Williams, Natalie Parks and Nicole Bank, along with the team at ABA España. The platform, as he describes it, is the work of practicing clinicians rather than a software team building for a field it does not practice in.

“We’re not trying to replace behavior analysts. We’re trying to amplify the collective intelligence of the profession.” Adam Ventura, Founder and CEO, Intraverbal AI (2026)

What Intraverbal does not claim is as telling as what it does. The company does not present itself as a replacement for the behavior analyst. Its own materials say the tools take a report “80 to 85 percent” of the way and that the clinician stays responsible for the judgment and the final document. It does not market itself as a billing system or an electronic health record, the territory where the largest ABA software companies make their money. And it does not claim its chatbot makes clinical decisions. The framing throughout is augmentation, not authorship.

The bet Intraverbal is making

The hard part is commercial, not philosophical. The documentation tools Ventura is implicitly competing against sell themselves in a sentence: hours saved this week. An intelligence layer is a slower promise. It asks a profession under acute time pressure to value better-grounded thinking, an outcome that does not show up on a timesheet the way a finished note does.

There are open questions. The clearest is whether licensed content stays a durable advantage as general-purpose models get cheaper and better at citing real sources. His answer, for now, is to keep widening the layer, adding sources and connecting to the systems behavior analysts already use.

Ventura has already shown he can build ABA software and sell it. What he is testing now is harder to prove: that behavior analysts will pay for better thinking, when faster paperwork is what the rest of the market is selling. That answer will not come from a demo. It will come from whether the 100,000th question turns into the millionth.

AT A GLANCE

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