Human Models for AI

AI Research & Design Studio

Tigo Labs iPhone interface
Tigo Labs icon Tigo Labs

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Where we come in

Two situations.

In your product

Your AI has to know its users.

Coaching, learning, healthcare, decision support. These need AI that can model the person, adapt, and hold a relationship over time — and most can't. Your product looks polished but the interaction falls flat the moment real depth is needed.

In your team

Your team has to get smarter, together.

Everyone runs their own AI agents. The reasoning behind their decisions stays buried in private chats, and shared understanding fragments into side conversations no one can reconcile.

Both come from the same gap

One missing layer.

We build the structured layer that captures how people, alone or together, actually think and decide.

We call it Human Models — and it is what we design and deploy with you, in your product or your internal processes.

Models the person Adapts in the moment Remembers what matters Connects the dots the cognitive layer Human Models
How we work

We build with you, not for you.

1 to 2 weeks

Audit

We map where cognition matters in your product or your team and where gaps occur.

You leave with a diagnostic and a focused recommendation — a natural first step before a design cycle.

4 to 12 weeks

Design cycle

We embed with your team and prototype the Human Model your product or process needs.

You leave with a working system and the playbook to keep building.

Ongoing

Advisory seat

We keep leaders and boards clear on what AI can actually do and what's just hype.

You always have a partner in the room when the decisions that matter most land on the table.

What we build

Research you can actually use.

We turn academic research in AI and cognitive science into products. Simone, Canopy, and Nota are Human Models in production.

Mission Values Constraints Relationships Resources
Customer app

Simone

An AI-native coach grounded in cognitive science.

Simone builds a Human Model of its user over time — beliefs, tensions, values, the things that actually drive decisions.

Backed by BPI Deeptech and France 2030.

Discover Simone
Bets Evidence Insights Supervizor Briefing
Internal tool

Canopy

Personal & Collaborative OS.

Where our own team holds shared reasoning while AI mediates the work — decisions traceable, context visible, collective judgment compounding instead of leaking into private AI sessions.

Internal tool. Public release in progress.
draft.md note: tighten this section terminal > nota suggest ↳ 3 inline edits · awaiting review
Internal tool

Nota

AI-assisted editor.

A standalone editor and terminal built to work alongside AI — annotate, suggest inline, and keep human judgment in the loop while the work gets done in your files.

Internal tool. Public release in progress.
AI interface illustration
The Team

Who We Are

Margot Lor-Lhommet
PhD

Margot
Lor-Lhommet

Scientific & Technical Leadership: Leads the scientific and technical direction at Tigo Labs, building the cognitive architecture behind Simone and other agents.

Cognitive & Affective AI Expertise: PhD in AI, with 10+ years building empathetic AI systems across DARPA- and ANR-funded research, deployed in healthcare, crisis response, and personalized support.

AI for Human Agency: Driven by a firm belief that AI can make the world more equal and humane by empowering people to become the best version of themselves.

Marie-Laure Thuret

Marie-Laure
Thuret

Engineer to Product Leader: Combines deep technical craft (full-stack, APIs, AI/ML) with product intuition to build tools developers trust, businesses scale with, and users love.

From 0 to Scale: Took products from idea to revenue at both scale-up and startup stages, driving millions in ARR with adoption and expansion built into the product.

AI for Human Growth: Advocates for AI that elevates human capability, fostering deeper thinking, richer creativity, and more meaningful connections, not just faster outputs.

Thibaut Champey

Thibaut
Champey

Business Leader: 20+ years of experience scaling world-class products that have reached millions of users at the world's leading tech companies.

Proven Go-To-Market Expert: Deep knowledge in product strategy, go-to-market, and building high-performing, inclusive teams.

Mission-Driven: Carries the vision to democratize access to useful, human-centered AI.

Our Scientific Committee

Catherine Pelachaud

Catherine Pelachaud

Director of Research

CNRS ISIR, Sorbonne Université

A leading researcher in multimodal interaction and embodied conversational agents, Catherine Pelachaud brings deep expertise in modeling verbal and non-verbal behaviors to create socially expressive and engaging virtual agents.

CNRS Heudiasyc, Université de Technologie de Compiègne

Specializing in adaptive learning systems and cognitive modeling, Domitile Lourdeaux designs architectures that account for users’ context, goals, and evolution over time, enabling personalized and adaptive human–agent interactions.

CNRS LISN, Université Paris-Saclay

An expert in social reasoning and agent behavior, Nicolas Sabouret works on modeling emotions, personality, and interaction scenarios, with a strong focus on personalization and decision-making in social contexts.

Northeastern University, USA

Specializing in emotion modeling, social reasoning, and Theory of Mind, Stacy Marsella designs empathetic virtual agents capable of reasoning about human mental and social states.

Our Values

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We turn cutting-edge AI research into real-world solutions that support people's growth, decisions, and daily lives. We value scientific rigor over speed, and choose what's right over what's trending.

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Empathy is not an afterthought, it's at the heart of everything we do. We design safe, inclusive, and intuitive experiences that center people's needs in the products we build and in how we work together.

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Innovation happens where differences meet. We bring together diverse disciplines, perspectives, and experiences to create more than the sum of our parts, and grow through one another.

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We take full ownership of what we build and full responsibility for its impact. We don't just follow through: we show up, we learn, and stay accountable in the real world.

They Support Us

Since July 2025

Supported by the French Tech Emergence program and France 2030 to build Simone, our cognitive AI coach.

Since July 2025

Awarded the Deeptech label for breakthrough innovation rooted in academic research. We translate advances in cognitive and emotional intelligence into useful, responsible products.

Since June 2025

Accelerated by Willa Scale. This program helps structure our growth within an environment that combines high standards with a strong commitment to equality.

Since September 2025

Part of the inaugural Sista AI x AWS x BNP Paribas cohort. We are one of 20 European startups selected to fast-track product growth and funding.

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Whether you're building AI that has to understand people or rethinking how your team works with it — we'd love to hear what you're up against.