Turn AI prototypes into operating systems
for critical workflows
Turn AI prototypes into operating systems for critical workflows
Turn AI prototypes into operating systems for
critical workflows
The hypergraph database that unifies knowledge and decision-making.
So agents are reliable, compliant, and explainable.
The hypergraph database that unifies knowledge and decision-making. So agents are reliable, compliant, and explainable.
The hypergraph database that unifies knowledge and decision-making.
So agents are reliable, compliant, and explainable.
<1%
hallucinations
<1%
hallucinations
<1%
hallucinations
100%
guardrails enforced
100%
guardrails enforced
100%
guardrails enforced
100%
explainable decisions
100%
explainable decisions
100%
explainable decisions
Trusted by
Trusted by
Trusted by















Why Rippletide?
Why Rippletide?
Why Rippletide?
Decisions live outsite the LLM
ippletide binds memory (facts, context, provenance) and reasoning (plans, rules, constraints) in a typed hypergraph. Policies are executable, checks are deterministic, and every outcome has a causal, audit-ready trace. You get production accuracy without “doom prompting.”
Decisions live outside the LLM.
Rippletide binds memory (facts, context, provenance) and reasoning
(plans, rules, constraints) in a typed hypergraph.
Policies are executable, checks are deterministic, and every outcome has a causal,
audit-ready trace. You get production accuracy without “doom prompting.”
Decisions live outside the LLM.
Rippletide binds memory (facts, context, provenance) and reasoning (plans, rules, constraints) in a typed hypergraph. Policies are executable, checks are deterministic, and every outcome has a causal, audit-ready trace. You get production accuracy without “doom prompting.”
Our operating model
Our operating model
Our operating model
Model your domain as a hypergraph (entities, events, policies, outcomes).
Model your domain as a hypergraph (entities, events, policies,
outcomes).
Model your domain as a hypergraph
(entities, events, policies,outcomes).
Encode policy-as-code with pre/post-conditions; define SLOs and escalation rules.
Encode policy-as-code with pre/post-conditions; define SLOs and
escalation rules.
Encode policy-as-code with
pre/post-conditions; define SLOs and
escalation rules.
Plan & Execute with a goal-directed planner; decisions run in the hypergraph, LLMs handle
language only.
Plan & Execute with a goal-directed planner; decisions run in the
hypergraph, LLMs handle language only.
Plan & Execute with a goal-directed
planner; decisions run in the
hypergraph, LLMs handle language only.
Trace & Prove every step with causal lineage, provenance, and immutable execution logs.
Trace & Prove every step with causal lineage, provenance, and
immutable execution logs.
Trace & Prove every step with causal
lineage, provenance, and
immutable execution logs.
Why we beat RAG/Graph-RAG?
Retrieval improves answers, but final decisions still happen inside the LLM.
Rippletide moves decisions out of the model and under enforced policy
Why we beat RAG/Graph-RAG?
Retrieval improves answers, but final decisions still happen inside the LLM.
Rippletide moves decisions out of the model and under enforced policy
Why we beat RAG/Graph-RAG?
Retrieval improves answers, but final decisions
still happen inside the LLM.
Rippletide moves decisions out of the model
and under enforced policy
How Rippletide is implemented in your agents
How Rippletide is implemented in your agents
How Rippletide is implemented
in your agents



Engagement model : Forward-Deployment
Engagement model : Forward-Deployment
Engagement model :
Forward-Deployment
Executive Benchmark Sprint (14 days)
Prove value on your red-line workflow inside your environment. Deliverables: outcome metrics, policy coverage, and a full decision trace. Go/No-Go in 14 days.
Executive Benchmark Sprint (14 days)
Prove value on your red-line workflow inside your environment. Deliverables: outcome metrics, policy coverage, and a full decision trace. Go/No-Go in 14 days.
Executive Benchmark Sprint
(14 days)
Prove value on your red-line workflow inside your environment. Deliverables: outcome metrics, policy coverage, and a full decision trace.
Go/No-Go in 14 days.
Co-developement (12 weeks)
Forward-deployed engineers integrate Rippletide inside your cloud/VPC. Policies-as-code, deep system hooks (CRM/ERP/DW), audit-ready logs, and production SLOs.
Co-developement (12 weeks)
Forward-deployed engineers integrate Rippletide inside your cloud/VPC. Policies-as-code, deep system hooks (CRM/ERP/DW), audit-ready logs, and production SLOs.
Co-developement (12 weeks)
Forward-deployed engineers integrate Rippletide inside your cloud/VPC. Policies-as-code, deep system hooks (CRM/ERP/DW), audit-ready logs, and production SLOs.
Strategic Partnership:
Strategic commercial terms and joint thought leadership (reference architectures, case studies, events), reserved for partners who meet our criteria.
Strategic Partnership:
Strategic commercial terms and joint thought leadership (reference architectures, case studies, events), reserved for partners who meet our criteria.
Strategic Partnership:
Strategic commercial terms and joint thought leadership (reference architectures, case studies, events), reserved for partners who meet our criteria.
Governance & assurance : what the board cares about?
Governance & assurance :
what the board cares about?
Governance & assurance :
what the board cares about?



Let your developers test Rippletide
Let your developers test Rippletide
FAQ
Frequently Asked Questions
What problem does Rippletide solve for enterprises?
How does Rippletide reduce hallucinations in AI agents?
How are guardrails enforced in Rippletide?
Can Rippletide integrate with our existing systems (CRM, ERP, Data Warehouse)?
What use cases fit Rippletide best?
How is Rippletide different from RAG, Graph-RAG, or Chain-of-Thought agents?
Still have a question?
Get in touch with us and let's discuss it.
FAQ
Frequently Asked Questions
What problem does Rippletide solve for enterprises?
How does Rippletide reduce hallucinations in AI agents?
How are guardrails enforced in Rippletide?
Can Rippletide integrate with our existing systems (CRM, ERP, Data Warehouse)?
What use cases fit Rippletide best?
How is Rippletide different from RAG, Graph-RAG, or Chain-of-Thought agents?
Still have a question?
Get in touch with us and let's discuss it.
FAQ
Frequently Asked Questions
What problem does Rippletide solve for enterprises?
How does Rippletide reduce hallucinations in AI agents?
How are guardrails enforced in Rippletide?
Can Rippletide integrate with our existing systems (CRM, ERP, Data Warehouse)?
What use cases fit Rippletide best?
How is Rippletide different from RAG, Graph-RAG, or Chain-of-Thought agents?
Still have a question?
Get in touch with us and let's discuss it.