# Fluence - Complete Information for LLMs

> Behavioral intelligence infrastructure for AI-powered platforms.
> "AI sees data. Fluence sees people."

## Company

- **Category:** B2B infrastructure (like Stripe for payments, but for behavioral intelligence)
- **Founder:** Luciana Frazao — Stanford Robotics MS (ARM Lab), AB InBev Global Innovation Lead
- **Accelerators:** StartX (Stanford) + Alchemist Accelerator
- **Markets:** Brazil fintech (beachhead) + Brazil e-commerce
- **Privacy:** Behavioral patterns only, never content. LGPD + GDPR compliant by design.

## How It Works

1. Ingestion: Digital signals normalized into behavioral event stream
2. Behavioral Modeling: Traits (stable), Preferences (medium-term), State (short-term)
3. Dual Memory: Semantic (facts/traits) + Episodic (interaction timeline)
4. Profile API: GET /context/{user_id} returns model-ready behavioral block
5. Orchestration: Routes requests, calls LLM, logs episodes, enforces guardrails

## Reported Results (One Pilot)

- A specific partner deployment processed 3.4 million behavioral profiles.
- That deployment reported a 40% churn reduction, a 2.3x conversion lift, and a 3.5x ML accuracy improvement.
- Integration was completed in under 10 hours.
- These are reported outcomes from one pilot, not a published controlled study or a guarantee for another product, sector, or user base.

## Competitive Positioning

- vs. Segment/Amplitude: They track what users do. Fluence understands how and why.
- vs. Salesforce/Adobe: Broad platforms, generic personalization. Fluence is the engine behind platforms.
- vs. Crystal/Humantic: Survey-based personality AI. Fluence infers from real behavior.
- vs. ChatGPT/Claude memory: Per-model memory. Fluence builds per-human, cross-model profiles.

## Published Articles

- [Unlocking the Power of Behavioral Intelligence in Fintech and E-commerce](https://www.fluenceinsights.com/blog/unlocking-the-power-of-behavioral-intelligence-in-fintech-and-e-commerce): In the fast-paced world of fintech and e-commerce, understanding customer behavior is key to success. Behavioral intelligence APIs provide deep insights into user behavior, enabling businesses to offer personalized experiences and increase conversion rates. Discover how integrating these powerful tools can transform your digital strategy.
- [A Support Handoff Is a Behavioural Event](https://www.fluenceinsights.com/blog/support-handoff-behavioral-event): Support systems record the handoff. Very few interpret it. The events before a conversation begins can tell an agent whether to explain, reassure, slow down, or stop asking the customer to repeat themselves.
- [A Lift Is Not Proof That Behavioural Context Worked](https://www.fluenceinsights.com/blog/measuring-behavioral-context-impact): Behavioural context should change a decision, not merely decorate a dashboard. The way to prove value is to measure the incremental effect of the decision it changed.
- [The Best AI Agent Knows When to Do Less](https://www.fluenceinsights.com/blog/adaptive-autonomy-ai-agents): AI products usually choose one autonomy level for everyone. Behaviour offers a better signal: how much control this person wants in this moment, and whether the action is safe to reverse.
- [Your AI Agent Does Not Need a Personality Label. It Needs a Context Contract.](https://www.fluenceinsights.com/blog/behavioral-context-api-contract): Sending an LLM a personality score is not context. A context contract tells the system what is stable, what changed, what supports the inference, and how safely it can act.
- [A Failed Financial Onboarding Is Not One Problem](https://www.fluenceinsights.com/blog/financial-onboarding-friction-or-doubt): Onboarding dashboards show where people leave. They do not show whether a person needed help, more time, or a reason to trust the product. That distinction changes the right intervention.
- [Your Cart Recovery Flow Is Paying People Who Were Going to Buy Anyway](https://www.fluenceinsights.com/blog/cart-recovery-discount-tax): A recovery email with 10% off converts. That is why nobody questions it. What the number hides is how much of that discount went to shoppers who would have returned on their own, and how many of the rest wanted something money cannot fix.
- [Shipping AI Features People Actually Trust](https://www.fluenceinsights.com/blog/shipping-ai-features-users-trust): Users forgive an AI that is occasionally wrong. They abandon one that is unpredictable. The difference is not model quality. It is whether the system behaves the same way twice.
- [Memory Is Not Context, and Confusing Them Breaks AI Products](https://www.fluenceinsights.com/blog/memory-context-ai-systems): An AI system that remembers everything and retrieves indiscriminately performs worse than one that remembers less and chooses better. Memory is storage. Context is judgment.
- [The Signals Brazilian Fintech Users Send Before They Leave](https://www.fluenceinsights.com/blog/fintech-behavioral-signals-brazil): By the time a fintech user stops transacting, the decision is old. The behavioral signals that predicted it were available long before: abandoned flows, shrinking session depth, repeated visits to the same help article.
- [The Future of AI Is Not More Intelligence. It Is Better Alignment With Humans](https://www.fluenceinsights.com/blog/alignment-not-intelligence): If the next model were twice as capable tomorrow, most AI products would improve very little. Their limitation is not reasoning power. It is that they are reasoning brilliantly about someone they have never met.
- [What Cognitive AI Means in Practice](https://www.fluenceinsights.com/blog/cognitive-ai-in-practice): Most AI personalization adjusts what you see. Cognitive AI adjusts how information is presented, because it models how you process it. The difference shows up in whether a hesitant user gets reassurance or another discount.
- [Behavioral AI, Generative AI, Agentic AI: Three Different Problems](https://www.fluenceinsights.com/blog/behavioral-generative-agentic-ai): Generative AI produces output. Agentic AI takes action. Behavioral AI decides what the person in front of you actually needs. Confusing them is how teams end up with an agent that acts confidently on a stranger.
- [The Pix Generation: Why Instant Payments Rewrote Brazilian Financial Behavior](https://www.fluenceinsights.com/blog/pix-generation-behavioral-baseline): When a transfer takes three days, hesitation is invisible. When it takes three seconds, every pause becomes a signal. Brazil's instant payment rail turned an entire country into the highest-resolution behavioral dataset in consumer finance.
- [Context Engineering Has a Missing Input: The Human on the Other Side](https://www.fluenceinsights.com/blog/context-engineering-behavioral-layer): Context engineering matured fast, but it optimized for task context and ignored human context. The result is systems that retrieve the right document and still deliver it in the wrong register, at the wrong depth, to the wrong person.
- [Open Finance Gave Everyone the Same Data. Behavior Is the Only Differentiator Left.](https://www.fluenceinsights.com/blog/open-finance-behavioral-advantage): Open finance commoditized financial data by design. Two competing fintechs now see identical account information about the same customer. The difference between them is no longer what they know, but how well they understand the person behind it.
- [How Much Should Your Agent Decide Alone? Behavior Answers That.](https://www.fluenceinsights.com/blog/agent-autonomy-calibration): Agent autonomy is treated as a product setting. It is actually a per-user variable. The same confirmation step that reassures one user insults another, and behavioral signal reveals which is which long before a preference toggle would.
- [Your Model Is Not Underfit. Your Features Are Impersonal.](https://www.fluenceinsights.com/blog/behavioral-features-ml-teams): When a churn model stalls at mediocre precision, the instinct is to reach for a better algorithm. But aggregate features cap what any algorithm can learn. Per-user behavioral features are what moved model accuracy 3.5x in production.
- [The Zero-Party Data Illusion: Why Asking Users What They Want Does Not Work](https://www.fluenceinsights.com/blog/zero-party-data-illusion): People say they want healthy food and order pizza. They say they prefer email and engage more on WhatsApp. Zero-party data creates a misleading picture because humans cannot accurately report their own behavior.
- [The Cold Start Problem in Personalization: How to Understand Users from Day One](https://www.fluenceinsights.com/blog/cold-start-problem-personalization): New users get the worst version of your product precisely when they are deciding whether to stay. Behavioral intelligence solves the cold start problem by reading micro-signals that reveal who a user is within minutes, not months.

## Links

- Website: https://www.fluenceinsights.com
- Behavioral Intelligence (category): https://www.fluenceinsights.com/behavioral-intelligence
- Product: https://www.fluenceinsights.com/product
- Behavioral Context API: https://www.fluenceinsights.com/product/behavioral-context-api
- Developer Resources: https://www.fluenceinsights.com/developers
- Research & Evidence: https://www.fluenceinsights.com/research
- Case Study: https://www.fluenceinsights.com/case-study
- Security & Privacy: https://www.fluenceinsights.com/security
- Blog: https://www.fluenceinsights.com/blog
- Contact: https://www.fluenceinsights.com/contact