Rippletide
Rippletide is an AI agent decision enforcement layer that intercepts, validates, and controls every agent action before it executes using deterministic, rule-based reasoning.
At a Glance
About Rippletide
Rippletide provides a deterministic decision enforcement layer that sits between AI agents and production systems, ensuring every proposed action is validated against structured rules, verified data, and explicit policies before execution. It addresses the critical gap between LLM reasoning capabilities and production-grade trustworthiness by replacing probabilistic guardrails with rule-based enforcement. Trusted by enterprises including Renault, Pernod Ricard, and Strapi, Rippletide achieves less than 1% hallucination rate and 100% guardrail compliance in production environments.
- Decision Context Graph: A hypergraph reasoning engine that evaluates every agent action against structured rules and verified facts before it reaches your systems — not after.
- Pre-execution Enforcement: Policy violations and hallucinations are intercepted before execution, not flagged in a dashboard days later.
- Full Audit Trail: Every decision is logged with a complete causal trace — which data, which rule, which outcome, and why — making it regulator-ready and board-ready.
- Framework-Agnostic Drop-in: Works alongside any LLM (GPT-4, Claude, Llama, Mistral) and any agent framework including LangChain, CrewAI, and custom builds with no rip-and-replace.
- Escalation & Routing: Blocked decisions can be escalated to a human approver, rerouted to a fallback workflow, or logged with full explanation rather than simply killed.
- Production-Grade Performance: Evaluates decisions in under 50ms with 99.9% uptime, supporting single agents or fleets of thousands.
- Enterprise Compliance: SOC 2 Type II certified, GDPR and CCPA ready, with EU-resident servers, end-to-end PII encryption, and row-level access controls.
- Native Integrations: Pre-built integrations with AWS Bedrock, LangChain, CrewAI, Salesforce Agentforce, Microsoft Foundry, Snowflake, Google ADK, NVIDIA, and Mistral AI.
- Structured Onboarding: Starts with a 2-week validation sprint, followed by an 8–10 week integration phase, targeting full production deployment in 12 weeks.
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Pricing
Executive Benchmark Sprint
10-day controlled experiment to validate accuracy and compliance on your red-line workflow before scaling.
- Red-line workflow validation
- Accuracy & compliance benchmarks
- Technical & scientific assessment
- Go / no-go recommendation
Co-Development & Integration
12-week side-by-side integration of Rippletide into your ecosystem with governance alignment and dedicated engineering support.
- Full stack integration
- Custom hypergraph modeling
- Governance & policy alignment
- Iterative testing on production data
- Dedicated engineering support
Strategic Partnership
Ongoing exclusive terms for organizations that want to co-innovate with continuous monitoring and priority access to new capabilities.
- Production deployment in your cloud
- Continuous monitoring & optimization
- Priority access to new features
- Dedicated success team
- Custom SLA
Capabilities
Key Features
- Deterministic decision enforcement
- Decision context graph (hypergraph reasoning engine)
- Pre-execution policy enforcement
- Full causal audit trail
- Hallucination prevention (<1% rate)
- Human-in-the-loop escalation and routing
- Framework-agnostic drop-in integration
- Under 50ms decision latency
- 99.9% uptime SLA
- SOC 2 Type II compliance
- GDPR and CCPA readiness
- Row-level access controls
- Self-service audit logs
- Custom hypergraph modeling
- Production deployment in customer cloud