Explicit Decision Logic
Evidence requirements, approval rules, and exceptions are made explicit instead of being left to a model prompt.
About Rippletide
Rippletide turns company knowledge into reviewed rules, applies them to current facts, and explains decisions before actions take effect.
Our Story
Founded in February 2024 by Patrick Joubert and Yann Bilien, Rippletide was born from a conviction: enterprise AI agents need more than capable models. They need an explicit boundary between an action the model proposes and an action the business is ready to approve.
The Action Runtime applies approved business rules to proposed agent actions in production, with a reason and supporting evidence for each decision. The 10-Day Proof is a way to start: evaluate one important action without changing production, then scope its production activation separately.
Discover Rippletide story
Rippletide keeps evidence and decision logic outside the prompt so teams can inspect what an agent would be allowed to do and why.
Evidence requirements, approval rules, and exceptions are made explicit instead of being left to a model prompt.
Each decision preview shows which data and rule produced an allow, escalate, or block outcome, with the reason attached.
SOC 2 audit in progress. EU data residency available. No training on customer data. Audit-ready decision traces for enterprise security review.
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 →
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 →Experts sharing practical insights on AI agent reliability.

Member of Technical Staff
Mathematician trained at NUS, ETH Zurich, and EPFL. Member of Technical Staff at Rippletide focused on AI agent reliability, and evaluation. Works across product, applied R&D, and client delivery.
LinkedIn →The 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.
San Francisco builds revenue, product, and the company. Paris builds engineering and R&D. Join us and help build the Action Runtime for AI agents.
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.
Own revenue. Build the motion. Turn Rippletide's early enterprise traction into a repeatable revenue engine. Target compensation: $125k base + $125k variable ($250k OTE), uncapped commission, plus a target 0.5-1.0% initial equity grant.
Own the product. Turn Rippletide's Action Runtime into a product customers understand, adopt, and expand. Target compensation: $210k-$240k base plus a target 1.0-2.0% initial equity grant.
Build the machine for execution across finance, people, legal, planning, revenue operations, and US-France coordination. Target compensation: $170k-$200k base plus a target 0.3-0.6% initial equity grant.
Work directly with enterprise clients to deploy Rippletide's Action Runtime into production AI agent workflows. Based in San Francisco, full-time.
Own Rippletide's marketing end to end — strategy, content, campaigns, PR, and performance. Based in San Francisco, full-time.
Own a product area end to end and build across the stack, from customer problems to interfaces, APIs, data models, and integrations. Based in Paris, full-time.
Join Rippletide's Paris research team in a full-time research engineer role focused on reasoning for autonomous agents.
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 ship the core backend systems, APIs, and SDKs that power Rippletide's Decision Context Graph. Based in Paris, full-time.
We're building the infrastructure that makes risky agent actions explicit and reviewable, and we're hiring.