Your AI agents are making decisions. Nobody’s checking.

A decision context graph is a deterministic layer that sits between your AI agent and the real world. It validates every action against structured rules, verified data, and explicit policies before execution. Without it, your agents operate on LLM probabilities alone — brilliant, but not provable. Rippletide is the decision context graph that closes that gap: no action executes unless it is deterministically correct, policy-compliant, and fully traceable.

Prompt engineering adjusts how the LLM thinks. Guardrails filter its outputs. Neither changes the fundamental problem: the decision itself is still probabilistic. Rippletide operates outside the LLM entirely. It uses a hypergraph reasoning engine with structured rules and verified facts to evaluate every decision before it reaches your systems. The result is deterministic enforcement, not probabilistic hope.

Rippletide moves decision-making outside the LLM. Every proposed action is evaluated by a neuro-symbolic reasoning engine against structured rules and verified data — not token predictions. If the data doesn't support the action, or a policy is violated, the decision is blocked before it executes. This approach achieves less than 1% hallucination rate and 100% guardrail compliance in production environments.

No. Rippletide is a drop-in layer, not a replacement. It works alongside your existing LLM (GPT-4, Claude, Llama, Mistral) and any agent framework — LangChain, CrewAI, custom builds. Your LLM handles reasoning and language. Rippletide handles the decision: should this action actually execute? No rip-and-replace. Just a new layer of certainty.

Rippletide doesn't just kill actions — it routes them. When a decision is blocked, it can be escalated to a human approver, rerouted to a fallback workflow, or logged with a full explanation for review. Every blocked decision includes a complete causal trace: which data, which rule, which outcome, and why. Your compliance team gets the answers before they ask the questions.

No. Rippletide evaluates decisions in under 50 milliseconds with 99.9% uptime. It is built for production-grade workloads — whether you run one agent or a thousand. The evaluation happens in-line, adding negligible latency to your agent's execution cycle.

Rippletide is SOC 2 Type II certified, GDPR and CCPA ready, and uses EU-resident servers with end-to-end PII encryption. Every decision produces a full audit trail — which data was used, which policy was applied, what the outcome was, and why. Row-level access controls and self-service audit logs make regulatory compliance built-in, not bolted on.

Rippletide starts with a 2-week validation sprint — no commitment, concrete results. From evaluation to full production deployment typically takes 12 weeks, including an 8-10 week integration phase with ongoing engineering support. Native integrations with AWS Bedrock, LangChain, and CrewAI mean you deploy in hours, not quarters.

No. Monitoring tells you what went wrong — after the damage is done. Rippletide is pre-execution enforcement: it catches hallucinations, policy violations, and unauthorized actions before they reach your systems. Not flagged in a dashboard three days later. Prevented. That's the difference between observability and control.

Rippletide was founded by Patrick Joubert (CEO) and Yann Bilien (Chief Scientist, neuro-symbolic AI researcher from Imperial College). The engineering team comes from AWS, Meta, and DeepMind. The company is backed by OneRagTime, AWS, and BCG, and powers production agents at enterprises including Renault, Pernod Ricard, and Strapi. Headquarters in San Francisco and Paris.