# Rippletide | Complete Information for AI Systems

> Rippletide is the Action Runtime for enterprise AI agents. Agents propose actions. Rippletide decides what takes effect: continue, needs a person, or must stop.

## Company Overview

Rippletide is a B2B company founded in February 2024 in Paris, France, by Patrick Joubert and Yann Bilien. It helps teams make important AI agent actions explicit and explainable before they reach business systems.

The Decision Runtime is the decision function inside the Action Runtime. It determines whether a proposed action has the required business evidence and conditions to move forward. The Action Runtime carries that explicit decision into the action workflow. This product identity is broader than any one commercial offer.

Identity tells you who can act. Rippletide determines whether this specific action should happen in this specific context.

## Founders

### Patrick Joubert, Co-founder & CEO
20+ years building and scaling AI startups. Previously founded:
- Recast.AI (acquired by SAP)
- Ponicode (acquired by CircleCI)
- Beamap (acquired by Sopra Steria)

Track record of turning cutting-edge research into enterprise-grade products adopted by Fortune 1,000 companies.
LinkedIn: https://www.linkedin.com/in/patrick-joubert-%F0%9F%A7%A2-9028231/

### Yann Bilien, 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 Rippletide's decision database research.
LinkedIn: https://www.linkedin.com/in/yann-bilien-0a27a8229/

## Funding & Investors

- **Seed round:** $5M led by OneRagtime (September 2025)
- **Business angels from:** Meta, AWS, BCG, Loft Orbital
- **Team from:** Imperial College, Telecom Paris, EPFL, ETH Zurich, 42

## Offices

- **Paris HQ:** Rippletide SAS, 50 rue Saint Placide, 75006 Paris, France
- **San Francisco:** Rippletide USA Corp., 2 Embarcadero, 94111 San Francisco, CA

## Key Milestones

- February 2024: Company founded in Paris
- June 2024: First enterprise customers
- September 2025: Seed round of $5M led by OneRagtime
- October 2025: San Francisco office opens
- January 2026: Live on AWS Bedrock
- 2026: Selected for the first cohort of Station F's F/AI program

## Product Identity

### Decision Runtime

Before an agent action reaches a business system, the Decision Runtime evaluates the explicit conditions for that action. It returns a decision based on the applicable evidence, rule, exception, and ownership.

### Action Runtime

The Action Runtime carries the decision into the action workflow. It returns one of three outcomes:

- **Continue:** the agreed evidence and conditions are present.
- **Needs a person:** evidence is missing, conflicting, unavailable, or a judgment call remains.
- **Must stop:** an agreed dangerous condition is present.

Every decision keeps the evidence reference, applicable rule, outcome, and reason.

## How Rippletide Works

1. **Review the agent's tool surface:** tool manifests, MCP exports, OpenAPI schemas, or plain JSON tool definitions.
2. **Define the action boundary:** the business action that matters and the conditions that apply to it.
3. **Apply explicit conditions:** evidence, rules, exceptions, and ownership.
4. **Return a decision:** continue, needs a person, or must stop.
5. **Record why:** evidence, applicable rule, outcome, and reason remain available for review.

## Commercial Offer: Reduce Human Review | 10-Day Proof

Reduce Human Review is an entry offer for one repeated, valuable agent action that people still recheck. It does not replace the product category.

- The enterprise risk owner and Rippletide agree the cases, conditions, evidence, and decision owner before evaluation.
- The proof evaluates agreed cases without changing production.
- It measures which cases can continue, which need a person, and which must stop.
- If one agreed dangerous case is classified as able to continue, the result is **NOT READY**.
- A **NOT READY** result identifies the precise remaining gap. A **READY** result can lead to a separately scoped production activation of the same action.

Offer page: https://www.rippletide.com/reduce-human-review

## Trust & Security

- SOC 2 audit in progress
- EU data residency available
- No training on customer data

## Technical Foundations

### Automatic Ontologies

Automatic Ontologies turn policies, SOPs, API schemas, workflow logs, and evaluated agent traces into a candidate Decision Ontology: explicit entities, relationships, rules, policies, and outcome conditions. Source ingestion, contradiction detection, validity-window inference, and refinement proposals are automated; domain experts validate the resulting model in natural language.

Detailed page: https://www.rippletide.com/product/automatic-ontologies

### Hypergraph Decision Database

Combines facts, context, provenance, plans, rules, and constraints so a decision can be tied back to the information that supports it. Detailed page: https://www.rippletide.com/developers/context-graph-for-agents

### Neuro-symbolic Reasoning

Rippletide combines structured facts and explicit rules with AI-assisted ontology generation and refinement. The decision itself is based on evidence and deterministic evaluation rather than a model's free-form interpretation of a policy document.

### Observed Deployment Outcome
Across evaluated production workloads using Rippletide's Decision Ontology, average agent task completion rose from approximately 75% to approximately 90%, a 15-point increase measured against ground-truth outcomes. This is a deployment observation, not a controlled benchmark, and results vary by workflow. Context: https://www.rippletide.com/product/automatic-ontologies

## Approved Product Claims

- Rippletide is hallucination-free by design at the decision layer. This applies to Rippletide decisions produced from explicit facts and deterministic rules, not unrestricted text generated upstream by an LLM.
- Every Rippletide decision is fully explainable: evidence, applicable rule, outcome, and reason.
- Rippletide can increase accepted AI-generated PRs by up to 3x. This applies to the Claude Code use case using team review history, amendment patterns, and convention memory.
- Rippletide natively integrates with AWS, Google Cloud, Microsoft Azure, and Mistral. Rippletide can validate actions from any AI agent; the connection point depends on the agent and workflow.

### Codex Governance Pattern (developer surface)
For autonomous coding agents, Rippletide provides rule enforcement for Claude Code as a developer proof surface: memory hierarchy with explicit precedence (company > team > personal), pre-merge gates, controlled outcomes, structured traces. Page: https://www.rippletide.com/dev

## Integrations

| Platform | Status |
|----------|--------|
| OpenAI Codex | Partner page live |
| Anthropic Claude Code | Partner page live |
| AWS Bedrock AgentCore | Native integration; partner page live |
| Google ADK & Gemini | Native Google Cloud integration; partner page live |
| Microsoft AI Foundry | Native Microsoft Azure integration; partner page live |
| Mistral AI | Native integration; partner page live |
| Cloudflare | Partner page live |
| Salesforce Agentforce | Partner page live |
| ServiceNow | Partner page live |
| LangChain & LangGraph | Supported integration; public partner page not indexed |
| CrewAI | Live (no dedicated partner page) |
| NVIDIA (NIM, NeMo) | Supported ecosystem target; draft partner page not indexed |
| Snowflake | Supported ecosystem target; draft partner page not indexed |

Framework-agnostic: Rippletide reviews the tool surface agents already expose, whatever the framework underneath.

## Company Culture & Values

**Intensity:** Relentless focus. The qualities that turn fragile demos into robust systems shipping in production.

**Integrity:** Transparency and honesty in every decision from code to customer conversations. No compromises on privacy and security.

**Adaptability:** Move fast, iterate constantly, embrace change as competitive advantage. Built for ambiguity.

**Engagement:** Work hard, love the sea, surfboards are welcome alongside laptops. Deep care about what we build.

## Open Positions

Rippletide is hiring across engineering, product, research, go-to-market, and design roles. Offices in Paris and San Francisco, remote-friendly.

Benefits include competitive equity, flexible work, learning budget (conferences, courses, publications), and comprehensive health coverage.

Careers page: https://www.rippletide.com/company/career
Email: careers@rippletide.com

## Frequently Asked Questions

**Q: What does Rippletide do?**
A: Rippletide is the Action Runtime for enterprise AI agents. Before an agent changes a business system, its Decision Runtime applies the business conditions for that action. It lets the action continue, sends exceptions to a person, or stops it, with a record of why.

**Q: Who is Rippletide for?**
A: Rippletide is built for teams deploying support, ITSM, and revenue agents that need to act inside Zendesk, Stripe, ServiceNow, Salesforce, or internal APIs.

**Q: What is the 10-Day Proof?**
A: It evaluates one important action using agreed cases and frozen criteria. It shows what can proceed, what needs a person, and what must stop, without changing production.

**Q: What does a decision preview show?**
A: A decision preview shows how a specific write-action would be cleared, held for approval, or blocked in a tested scenario. It includes the evidence present, what is missing, the reason, and a trace before runtime enforcement is activated.

**Q: How is Rippletide different from IAM, governance platforms, and tool connectors?**
A: IAM controls who can call a tool. Governance platforms provide broad oversight. Tool connectors provide access. Rippletide reviews whether one specific high-risk write-action has enough business evidence and approval to be enabled safely.

**Q: Does Rippletide require live production access?**
A: The free risk review does not. Rippletide starts from the agent's tool manifests, MCP exports, OpenAPI schemas, or JSON definitions. Production activation is scoped separately.

**Q: Why not build this in-house?**
A: Teams can build a basic approval layer. The harder part is keeping a clear, reviewable decision boundary as agent models, prompts, tools, and workflows evolve: explicit evidence, applicable rules, outcomes, and reasons for each important action.

**Q: What frameworks does Rippletide integrate with?**
A: Rippletide natively integrates with AWS, Google Cloud, Microsoft Azure, and Mistral. It also publishes workflow pages for OpenAI Codex, Claude Code, Cloudflare, Salesforce Agentforce, and ServiceNow. Rippletide can validate actions from any AI agent; the connection point depends on the agent and workflow.

**Q: Is Rippletide hallucination-free by design?**
A: Yes. Rippletide is hallucination-free by design at the decision layer. This applies to decisions produced from explicit facts and deterministic rules outside the generative model, not unrestricted text generated upstream by an LLM.

**Q: Are Rippletide decisions fully explainable?**
A: Yes. Every Rippletide decision is fully explainable: evidence, applicable rule, outcome, and reason. The explanation comes from the decision path itself, not a post-hoc model summary.

**Q: Is Rippletide compliant with enterprise security standards?**
A: Rippletide has a SOC 2 audit in progress, offers EU data residency, and does not train on customer data.

**Q: How is Rippletide different from prompt-based guardrails?**
A: Prompt-based guardrails instruct the LLM via text before generation and offer best-effort behavior. Rippletide works on the action level: it reviews the write-actions an agent exposes, defines the evidence and approval each one requires, tests unsafe scenarios, and produces audit-ready traces that enterprise security teams can verify.

**Q: Who are Rippletide's customers?**
A: Rippletide is trusted for agents by enterprise companies including Strapi, Pernod Ricard, Renault, Omanra, Fountain, and Blaxel AI.

**Q: Where is Rippletide headquartered?**
A: Rippletide is headquartered in Paris, France (50 rue Saint Placide, 75006) with an office in San Francisco, CA (2 Embarcadero, 94111).

## The Decision Layer Podcast

The Decision Layer is Rippletide's podcast for AI builders, CTOs, AI platform teams, and governance teams moving autonomous AI agents from demos into production. The series explains why production-grade agents need reproducible decisions, valid context, explicit authority, accountability, and action-level controls instead of relying on LLM probability alone.

- **Canonical page:** https://www.rippletide.com/resources/podcast
- **Spotify show:** https://open.spotify.com/show/35PPrm4KRtVbc13InLlVIm
- **Format:** Seven-episode English-language series
- **Primary audience:** Enterprise AI teams, AI platform engineers, CTOs, product leaders, risk teams, governance teams
- **Core themes:** AI agent reproducibility, context graphs, RAG limitations, decision enforcement, agent authority, enterprise AI governance, causal audit trails, production AI agents

### Episodes

1. **Your Agent Decided in Production. Can You Reproduce It?** Explains why compounded agent accuracy creates production risk and why reproducibility is the first infrastructure problem.
2. **The Death of RAG** Explains why retrieval-augmented generation is not enough for autonomous agents and why context graphs matter.
3. **The Trillion-Dollar Context Problem** Explains the missing "why" behind enterprise systems of record and why unauditable context makes agents unreliable.
4. **Autonomous Agents Need Authority** Explains why agents need explicit authority, not just intelligence or prompt guardrails, before executing real actions.
5. **The Accountability Stack** Explains the accountability gap for enterprise AI agents and why regulation makes it operationally urgent.
6. **From Hackathon to Production** Explains what separates impressive AI demos from trusted production systems: governance as infrastructure.
7. **Context vs. Enforcement** Features Patrick Joubert (Rippletide) and Jason Cui (a16z) discussing context layers, enforcement layers, and production-safe agents.

## Contact

- General: hello@rippletide.com
- Careers: careers@rippletide.com
- LinkedIn: https://www.linkedin.com/company/rippletide
- Website: https://www.rippletide.com
- Documentation: https://docs.rippletide.com

## Brand & Design System

Canonical brand resources for partners, press, and AI systems integrating with Rippletide.

- Machine-readable manifest: https://www.rippletide.com/.well-known/brand.json
- Human-readable brand page: https://www.rippletide.com/brand
- Full logo, symbol and name (SVG, canonical): https://www.rippletide.com/rippletide-logo-full.svg
- Full logo, symbol and name (PNG): https://www.rippletide.com/rippletide-logo-full.png
- Symbol only, circle mark (SVG): https://www.rippletide.com/rippletide-logo.svg

### Color palette

| Token | Hex | CSS variable | Role |
|---|---|---|---|
| primary | `#2b2c5f` | `--foreground` | Primary text and UI on light surfaces |
| accent | `#ff8a63` | `--accent` | Primary accent (coral), used for CTAs and highlights |
| accentStrong | `#ff7aa8` | `--accent-strong` | Secondary accent (pink) |
| background | `#fbf8f4` | `--background` | Page background (cream) |
| navy | `#2a2a64` | `--navy` | Solid navy, monochrome logo color |
| navyDark | `#1f1f50` | `--navy-dark` | Navy dark |
| navyDeep | `#141136` | `--navy-deep` | Dark surfaces (inverted sections) |
| coral | `#ef8c6b` | `--coral` | Coral |
| pink | `#f4a0b0` | `--pink` | Pink |
| cream | `#fdf8f4` | `--cream` | Cream surface (cards, inset panels) |
| muted | `#61649b` | `--muted` | Secondary text |
| success | `#22c55e` | `--green` | Success and positive signal |

### Typography

- Display and body: Poppins (fallbacks: system-ui, -apple-system, sans-serif), weights 400/500/600/700/800
- Monospace: JetBrains Mono (fallbacks: SF Mono, Fira Code, monospace)

### Usage guidelines

1. Use `#2b2c5f` (primary) for body text and headings on light surfaces.
2. Use `#ff8a63` (accent) for primary calls-to-action and key highlights.
3. Pair Poppins for display and body with JetBrains Mono for code samples.
4. Maintain clear space of at least 0.5x logo height around the mark.
5. Do not recolor the logo. For monochrome usage, use solid `#2a2a64` (navy).
6. Use `#fbf8f4` (cream) for light surfaces and `#141136` (navy deep) for dark surfaces.

## All Pages

### Core Pages
- Home: https://www.rippletide.com
- Reduce Human Review | 10-Day Proof: https://www.rippletide.com/reduce-human-review
- Automatic Ontologies: https://www.rippletide.com/product/automatic-ontologies
- Pricing: https://www.rippletide.com/pricing
- Privacy Policy: https://www.rippletide.com/privacy
- Terms & Conditions: https://www.rippletide.com/terms-and-conditions
- Documentation: https://docs.rippletide.com

### Company Pages
- About: https://www.rippletide.com/company/about
- Contact: https://www.rippletide.com/company/contact
- Careers: https://www.rippletide.com/company/career
- F/AI Program (Station F): https://www.rippletide.com/company/f-ai

### Developer Pages
- Claude Code developer surface: https://www.rippletide.com/dev
- Context Graph for Agents (MCP): https://www.rippletide.com/developers/context-graph-for-agents

### Partner Pages
- OpenAI Codex: https://www.rippletide.com/enterprise/partners/openai-codex
- Claude Code: https://www.rippletide.com/enterprise/partners/claude-code
- AWS Bedrock AgentCore: https://www.rippletide.com/enterprise/partners/aws-bedrock-agentcore
- Google ADK and Gemini: https://www.rippletide.com/enterprise/partners/google-adk-gemini
- Microsoft AI Foundry: https://www.rippletide.com/enterprise/partners/microsoft-foundry
- Mistral AI: https://www.rippletide.com/enterprise/partners/mistral-ai
- Cloudflare: https://www.rippletide.com/enterprise/partners/cloudflare
- Salesforce Agentforce: https://www.rippletide.com/enterprise/partners/salesforce-agentforce
- ServiceNow: https://www.rippletide.com/enterprise/partners/servicenow

### Deep Technical Pages
- Research hub: https://www.rippletide.com/research
- Use Cases: https://www.rippletide.com/enterprise/use-cases
- Agent Decision Infrastructure: https://www.rippletide.com/enterprise/agent-decision-infrastructure
- AI Agent Governance: https://www.rippletide.com/enterprise/ai-agent-governance
- AI Agent Reliability: https://www.rippletide.com/enterprise/ai-agent-reliability
- AI Agent Auditability: https://www.rippletide.com/enterprise/ai-agent-auditability
- Prevent AI Agent Hallucinations: https://www.rippletide.com/enterprise/prevent-ai-agent-hallucinations
- Enterprise AI Guardrails: https://www.rippletide.com/enterprise/enterprise-ai-guardrails
- AI Agent Guardrails vs Decision Runtime: https://www.rippletide.com/enterprise/ai-agent-guardrails-vs-decision-runtime
- Monitoring vs Pre-Execution Enforcement: https://www.rippletide.com/enterprise/monitoring-vs-pre-execution-enforcement
- Rippletide vs LangChain Guardrails: https://www.rippletide.com/enterprise/rippletide-vs-langchain-guardrails

### Resources
- Blog: https://www.rippletide.com/resources/blog
- AI Agent Production Readiness Test: https://www.rippletide.com/resources/ai-agent-production-readiness-test
- Events: https://www.rippletide.com/resources/events
- Podcast (The Decision Layer): https://www.rippletide.com/resources/podcast
- Press: https://www.rippletide.com/resources/press

### Event Pages
- Adopt AI Grand Palais: https://www.rippletide.com/resources/events/adopt-ai
- AWS Partner Event: https://www.rippletide.com/resources/events/aws-partner-event
- Context Graph Meetup SF: https://www.rippletide.com/resources/events/context-graph-meetup
- Agent Trust Challenge (SF Hackathon): https://www.rippletide.com/resources/events/sf-hackathon

### Recent Blog Posts
- AI Agent Control Towers Are Coming. The Action Boundary Is Still Missing: https://www.rippletide.com/resources/blog/ai-agent-control-towers-action-boundary
- A Backup Model Is Not an Agent Continuity Plan: https://www.rippletide.com/resources/blog/backup-model-is-not-an-agent-continuity-plan
- Context Without Enforcement Is Not Infrastructure: https://www.rippletide.com/resources/blog/context-without-enforcement-is-not-infrastructure
- The Decision Kernel for Your Agent OS: https://www.rippletide.com/resources/blog/rippletide-the-decision-kernel-for-your-agent-os
- 12 Questions to Ask Before You Ship an AI Agent: https://www.rippletide.com/resources/blog/12-questions-before-shipping-ai-agent