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Host: https://www.rippletide.com
Sitemap: https://www.rippletide.com/sitemap.xml
llms.txt
# Rippletide
> Rippletide is the Action Runtime for enterprise AI agents. Agents propose actions. Rippletide decides what takes effect: continue, needs a person, or must stop.
Rippletide helps agents complete more work under your business rules. It checks proposed actions against business context, current facts, and explicit rules, then returns a decision with its reason and supporting evidence. Valid actions move forward. Exceptions reach the right person. This product identity is broader than any one commercial offer.
## Key Facts
- **Founded:** February 2024, Paris, France
- **Founders:** Patrick Joubert (CEO, 3 prior exits: Recast.AI to SAP, Ponicode to CircleCI, Beamap to Sopra Steria) and Yann Bilien (Chief Scientist, Telecom Paris & Imperial College)
- **Funding:** $5M in financing in 2025. Lead investor: OneRagtime. Angels from Meta, AWS, BCG, Loft Orbital.
- **Offices:** Paris (HQ), 50 rue Saint Placide, 75006; San Francisco, 2 Embarcadero, 94111
- **F/AI at Station F:** Selected for the first cohort of Station F's F/AI program (2026)
- **Contact:** hello@rippletide.com
- **LinkedIn:** https://www.linkedin.com/company/rippletide
## Product Identity
### Decision Runtime
The Decision Runtime is the decision function inside the Action Runtime. It determines whether a proposed agent action has the required business evidence and conditions to move forward. Identity tells an enterprise who can act. Rippletide determines whether this specific action should happen in this specific context.
### Action Runtime
The Action Runtime carries that explicit decision into the action workflow. The agent proposes an action; Rippletide 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. **Connect business knowledge.** Start with the documents, policies, and operating knowledge that define how your business works.
2. **Make the rules explicit.** Turn that knowledge into executable rules your team reviews and approves.
3. **Check the current facts.** Bring in the relevant context from your systems for the proposed action.
4. **Validate the action.** Check whether it meets the applicable business conditions before it takes effect.
5. **Explain the decision.** Return the reason and supporting evidence so the agent or reviewer knows what to do next.
6. **Keep rules current.** Review source changes, test their impact, and approve rule updates before applying them.
Your business defines the rules. Rippletide applies them when agents act. When a policy or procedure changes, review the proposed updates, test them against retained cases, and approve the changes before they take effect.
## 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
## 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
The 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.
Research hub: https://www.rippletide.com/research
## 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 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.
## Trust
- SOC 2 audit in progress
- EU data residency available
- No training on customer data
## Integrations
- OpenAI Codex: https://www.rippletide.com/enterprise/partners/openai-codex
- Anthropic 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
- Salesforce Agentforce: https://www.rippletide.com/enterprise/partners/salesforce-agentforce
- ServiceNow: https://www.rippletide.com/enterprise/partners/servicenow
## Primary Links
- Website: 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
- Context Graph for Agents: https://www.rippletide.com/developers/context-graph-for-agents
- Agent Decision Infrastructure: https://www.rippletide.com/enterprise/agent-decision-infrastructure
- Documentation: https://docs.rippletide.com/docs/quickstart
- Business sources and rule updates: https://docs.rippletide.com/docs/business-context
- Agent-readable Markdown endpoint: https://www.rippletide.com/agent-markdown?path=/
- Blog: https://www.rippletide.com/resources/blog
- Contact: https://www.rippletide.com/company/contact
