Explicit Decision Logic
Evidence requirements, approval rules, and exceptions are made explicit instead of being left to a model prompt.
About Rippletide
Rippletide helps enterprise teams make risky agent write-actions explicit, testable, and reviewable before they enable production access.
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.
We turn policies, system context, evidence requirements, and approval rules into Safety Cases, unsafe scenarios, decision previews, and reviewable traces. Teams can prove the first boundary before expanding into runtime enforcement.
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.
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.
Own the full enterprise sales cycle across France and Southern Europe for Rippletide's Decision Context Graph. Based in Paris, full-time.
Own enterprise revenue across North America for Rippletide's Decision Context Graph. Based in San Francisco, full-time.
Build and scale the partner ecosystem across tech integrations, system integrators, and resellers. Partner-generated revenue is the primary KPI. Paris or San Francisco, full-time.
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.
Build Rippletide's commercial engine in France and Europe — ICP design, outbound sequences, and qualified pipeline. Based in Paris, full-time.
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.
Own Rippletide's marketing end to end — strategy, content, campaigns, PR, and performance. Based in Paris, full-time.
Own Rippletide's marketing end to end — strategy, content, campaigns, PR, and performance. Based in San Francisco, full-time.
Keep Rippletide's French entity running smoothly — contracts, HR, compliance, and internal processes. Based in Paris, full-time.
Handle the day-to-day running of Rippletide's US entity — vendors, HR, contracts, and cross-border coordination. Based in San Francisco, full-time.
Shape the developer experience and enterprise interfaces for the Rippletide platform — the decision database for trustworthy AI agents. Paris.
Join Rippletide's Paris research team in a full-time research engineer role focused on reasoning for autonomous agents.
Advance the neuro-symbolic foundations of Rippletide's hypergraph reasoning engine, publishing at top venues with a direct path to production. Based in San Francisco, full-time.
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.
Design and ship the core backend systems, APIs, and SDKs that power Rippletide's Decision Context Graph. Based in Paris, full-time.
Build the core backend infrastructure, APIs, and SDKs powering Rippletide's Decision Context Graph for enterprise AI agents. Based in San Francisco, full-time.
We're building the infrastructure that makes risky agent actions explicit and reviewable, and we're hiring.