Deterministic Reasoning
Decision-making is handled by our rule-based reasoning engine, not probabilistic LLM generation. Actions are selected based on quantitative evaluation against explicit policies.
About Rippletide
Our mission is to make every AI agent decision provably correct, enforcing rules, explaining every outcome, and transforming agents into systems risk teams can trust.
Our Story
Founded in February 2024 by Patrick Joubert and Yann Bilien, Rippletide was born from a conviction: enterprise AI agents need more than large language models. They need a reasoning-first foundation that combines memory, rules, and planning so decisions are deterministic, auditable and far less prone to hallucinations.
Our core technology moves decision-making outside of LLMs (binding facts and provenance with rules and constraints) enabling the deployment of production-grade AI agents for critical enterprise workflows where accuracy is non-negotiable.
Discover Rippletide story
A new kind of infrastructure that makes AI agents deterministic, explainable, and compliant by design.
Decision-making is handled by our rule-based reasoning engine, not probabilistic LLM generation. Actions are selected based on quantitative evaluation against explicit policies.
Every decision traces back to which data, which rule, which outcome, and why. Policy-as-code enforces guardrails and logs every outcome as a causal trace.
SOC 2 Type II certified. EU-resident servers. PII stored with end-to-end encryption. Self-service audit log for full transparency and regulatory compliance.
Key milestones on our path to making AI agents trustworthy.
French innovation meets Silicon Valley intensity.

Co-founder & CEO
20+ years building and scaling AI startups. Previously founded Recast.AI (acquired by SAP), Ponicode (acquired by CircleCI) and Beamap (acquired by Sopra Steria). Track record of turning cutting-edge research into enterprise-grade products adopted by Fortune 1,000 companies.
LinkedIn β
Co-founder & Chief Scientist
Mathematician and AI researcher trained at Telecom Paris and Imperial College London. Pioneered research in neuro-symbolic AI and world-model agents. Leads the development of the hypergraph: decision context graph at the core of Rippletide.
LinkedIn βThe principles that guide how we build, ship, and operate.
We believe in relentless focus. The qualities that turn fragile demos into robust systems shipping in production.
Transparency and honesty in every decision from code to customer conversations. No compromises on privacy and security.
We move fast, iterate constantly, and embrace change as a competitive advantage. Built for ambiguity.
We work hard, love the sea: surfboards are welcome alongside laptops. We care deeply about what we build.
Supported by leading investors and operators from world-class organizations.
We combine French innovation, Silicon Valley intensity, and a global, multicultural team. Join us and help make AI agents trustworthy.
Our Culture
Surfboards are welcome alongside laptops. We value people who care deeply about building reliable AI, who are comfortable with ambiguity, and who ship with conviction.
Work directly with enterprise clients to deploy Rippletide's hypergraph database into production AI agent workflows. Based in San Francisco, full-time.
Build and own the web platform that powers Rippletide's hypergraph decision database for developers and enterprise teams. Based in Paris, full-time.
Help design and execute Rippletide's growth and go-to-market initiatives with direct impact on pipeline and market traction.
Drive Rippletide's US go-to-market strategy and build the outbound pipeline that fuels enterprise AI agent adoption. Based in San Francisco, full-time.
Support Rippletide's brand visibility, content, and communication initiatives to accelerate growth in the AI ecosystem.
Shape the developer experience and enterprise interfaces for the Rippletide platform β the decision database for trustworthy AI agents. Paris.
Push the boundaries of neuro-symbolic reasoning to advance Rippletide's hypergraph decision database for enterprise AI agents. Based in Paris, full-time.
Design and build the core hypergraph reasoning engine that powers production-grade enterprise AI agents. Based in Paris or San Francisco, full-time.
We're building the infrastructure that makes every AI decision provably correct, and we're hiring.