

You work with our team. AI makes that team sharper.
Behavioralize is not an automated platform, a subscription, or a chatbot. AI is what we use to go deeper, faster — so that our behavioral scientists can spend their time on what matters: understanding your decisions and shaping your strategy. The CO in co-intelligence is the point.
Proprietary tools that find what manual analysis misses
AI built on Behavioralize's behavioral science frameworks not generic LLMs.
HOW WE HELP YOUR AI
Behavioral science for teams building AI products
From AI reasoning layer design to interaction design and adoption — we help your team build AI that humans trust, understand, and actually use.
OUR AI TOOLS & RESEARCH PROCESS
We've redesigned the research process around AI co-intelligence
Behavioralize's AI tools are not generic AI bolted onto traditional research. They are purpose-built agents, trained on Behavioralize's behavioral science frameworks, with output evaluated by experts, that operate alongside third-party AI research tools at every stage of a redesigned research process, from question design through ongoing strategic dialogue.
TRADITIONAL MODEL
1
Research Question Development
Fixed upfront, limited by what the team already knows
2
Data Collection
Small sample, human-moderated, constrained by time
3
Human Analysis & Reporting
Manual coding, analyst-dependent, slow to complete
4
Report Review
Often reviewed inconsistently, insight activation not guaranteed
BEHAVIORALIZE CO-INTELLIGENCE MODEL
1
Research Question Development
Document-grounded personas of customers; decision-mapped question design
2
Human-Led, AI-Supplemented Moderation
AI-assisted interviews enable synchronous, scalable depth alongside live qual
3
Holistic Quant + Qual Synthesis & Collaborative Data Analysis
Content analysis agents + human oversight; integrated mixed-method findings
4
Insights + Strategic Recommendation Development
Findings tied directly to the decisions the client team must make
5
Ongoing Strategic Dialogue
Continuous feedback loop; research stays live and queryable long after the readout
OUR PROPRIETARY TOOLS
Insights Miner
An AI agent trained on Behavioralize's behavioral science frameworks. Mines qualitative and quantitative data (interviews, survey responses) for behavioral drivers, misperceptions, and patterns at scale. Where standard analysis produces themes, Insights Miner produces behavioral explanations.
We find insights in your data that manual coding misses — faster, deeper, and grounded in behavioral science, not generic AI.
Deep Discovery
Lets you query your own research findings long after a project closes. Ask a question, get an evidence-backed answer from your own data — without commissioning new research. Keeps the research process alive as a continuous strategic dialogue rather than a one-time report.
Your research shouldn't go stale after the readout. Deep Discovery keeps your insights alive and searchable.
Cross-Project Pattern Detector
A capabilities-level tool for client organizations with multiple brands. Identifies behavioral patterns across your portfolio — surfacing connections that sit above any single brand and get lost when projects are treated in isolation. Built to work within a client's data, not across clients.
For teams managing multiple brands, this is the layer of insight that standard per-project research can't provide.
"We're deliberate about when AI adds value and when human judgement is irreplaceable. The goal isn't to automate insight, it's to make human insight sharper."
BEHAVIORAL SCIENCE FOR AI PRODUCTS
Your AI product needs behavioral science
AI products often fail not because of the technology — but because of how humans perceive, interact with, and decide to adopt them. Behavioralize brings behavioral science to every stage of AI product development: research, design, evaluation, and adoption.
AI Reasoning Layer Design
Most LLMs are built to generate fluent outputs — not to reason through decisions the way your users actually think. Behavioralize incorporates behavioral science into how your AI is structured: defining the mental models, decision frameworks, and cognitive patterns it should use when processing and responding. The result is an AI that doesn't just sound right, but thinks in ways that align with how your users make decisions — building genuine trust rather than surface-level confidence.
AI Interaction Design
The way users interact with AI — prompts, feedback loops, correction mechanisms — triggers distinct behavioral responses. Behavioralize designs interactions that work with how people actually think and decide, reducing friction and increasing effective engagement.
AI Adoption Strategy
Behavioral barriers are what stop AI adoption. Behavioralize identifies the misperceptions and inaction patterns blocking your users, then designs targeted behavior-change strategies that drive real adoption of AI tools.
SELECTED CLIENT WORK: AI PRODUCTS
Global Tech Company
Embedded behavioral science theory into an AI agent and designed behavioral metrics to evaluate the quality of its reasoning — not just whether users were satisfied, but whether the AI was actually addressing the right behavioral barriers.
AI-Powered Fitness Platform
AI coach interaction design and onboarding — applied behavioral science to reduce friction in the human-AI relationship and drive long-term engagement with an AI fitness coach.
Global Pharmaceutical Company
Developed a behavioral science-powered AI prompt library and custom AI agents that enable researchers to rapidly mine primary market research for deeper human insights — surfacing cognitive biases, behavior gaps, and root-cause drivers across brands.
CLIENT PERSPECTIVES
What clients say about working with us
"Working through the AI process with Behavioralize helped me understand how to use AI and the models in a way I hadn't before — it changed how I think about applying it to my own work."
GLOBAL COMMERCIAL INSIGHTS MANAGER, FORTUNE 500 PHARMA COMPANY
I very unintentionally became the AI person at our organization — and by virtue of working on this with Behavioralize, our internal innovation team told us nobody else is using AI as strategically as we are.
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