The Database that decides : forward-deployed to make AI agents production-grade
Rippletide is building the database that decides.
Large Language Models can generate language but they are not control systems. They hallucinate, drift, and ignore rules. That is why 95% of enterprise GenAI pilots never make it to production.
Rippletide fixes this by moving decisions outside the model. Our hypergraph database unifies knowledge and decision-making, storing facts, rules, and provenance in one structure. Guardrails are encoded as policy-as-code. Every outcome is logged as a causal trace, fully auditable and compliant.
The result: <1% hallucinations, 100% guardrails enforced, 100% explainable decisions.
We serve enterprises that need production-grade AI agents, in critical workflows where accuracy and compliance are non-negotiable. Our model is forward deployment: embedded engineers work inside your environment, integrating Rippletide with CRM, ERP, and Data Warehouses. Deployments ship in weeks, not quarters.
Our Engagement Model
• Executive Benchmark Sprint (14 days): proof of value on a red-line workflow, outcome metrics, guardrail coverage, and full decision trace.
• Co-Development (12 weeks): integration inside your cloud/VPC, policy-as-code enforced, audit-ready logs, production SLOs.
• Strategic Partnership: exclusive terms and joint thought leadership with enterprises who meet our criteria.
Our Culture
Rippletide operates between San Francisco and Paris. We combine French innovation, Silicon Valley intensity, and a global, multicultural team. We believe in intensity, adaptability, and engagement, the qualities that turn fragile demos into robust systems. And yes, we work hard and love the sea, surfboards are welcome alongside laptops.
Our Mission
To provide enterprises with the missing infrastructure for autonomous AI: a database that enforces rules, explains every decision, and transforms AI agents into systems risk teams can trust.
LLMs generate. Rippletide decides.
AI, Ai Agents, Agents, Safe Agents, AI Sales Agent, Entreprise Agents, AI Safety, and AI Trust
The Database that decides : forward-deployed to make AI agents production-grade
Rippletide is building the database that decides.
Large Language Models can generate language but they are not control systems. They hallucinate, drift, and ignore rules. That is why 95% of enterprise GenAI pilots never make it to production.
Rippletide fixes this by moving decisions outside the model. Our hypergraph database unifies knowledge and decision-making, storing facts, rules, and provenance in one structure. Guardrails are encoded as policy-as-code. Every outcome is logged as a causal trace, fully auditable and compliant.
The result: <1% hallucinations, 100% guardrails enforced, 100% explainable decisions.
We serve enterprises that need production-grade AI agents, in critical workflows where accuracy and compliance are non-negotiable. Our model is forward deployment: embedded engineers work inside your environment, integrating Rippletide with CRM, ERP, and Data Warehouses. Deployments ship in weeks, not quarters.
Our Engagement Model
• Executive Benchmark Sprint (14 days): proof of value on a red-line workflow, outcome metrics, guardrail coverage, and full decision trace.
• Co-Development (12 weeks): integration inside your cloud/VPC, policy-as-code enforced, audit-ready logs, production SLOs.
• Strategic Partnership: exclusive terms and joint thought leadership with enterprises who meet our criteria.
Our Culture
Rippletide operates between San Francisco and Paris. We combine French innovation, Silicon Valley intensity, and a global, multicultural team. We believe in intensity, adaptability, and engagement, the qualities that turn fragile demos into robust systems. And yes, we work hard and love the sea, surfboards are welcome alongside laptops.
Our Mission
To provide enterprises with the missing infrastructure for autonomous AI: a database that enforces rules, explains every decision, and transforms AI agents into systems risk teams can trust.
LLMs generate. Rippletide decides.
Deploy AI agents that are hallucination-free, fully auditable, and 100% guardrail-compliant — built to run safely in production with full transparency.