background

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.”

What changes for you?

What changes for you?

Our operating model

Our operating model

Our operating model

  1. Model your domain as a hypergraph (entities, events, policies, outcomes).

  1. Model your domain as a hypergraph (entities, events, policies,

    outcomes).

  1. Model your domain as a hypergraph
    (entities, events, policies,

    outcomes).

  1. Encode policy-as-code with pre/post-conditions; define SLOs and escalation rules.

  1. Encode policy-as-code with pre/post-conditions; define SLOs and
    escalation rules.

  1. Encode policy-as-code with
    pre/post-conditions; define SLOs and
    escalation rules.

  1. Plan & Execute with a goal-directed planner; decisions run in the hypergraph, LLMs handle
    language only.

  1. Plan & Execute with a goal-directed planner; decisions run in the
    hypergraph, LLMs handle language only.

  1. Plan & Execute with a goal-directed
    planner; decisions run in the
    hypergraph, LLMs handle language only.

  1. Trace & Prove every step with causal lineage, provenance, and immutable execution logs.

  1. Trace & Prove every step with causal lineage, provenance, and
    immutable execution logs.

  1. 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.

Rippletide builds Hypergraph Reasoning Database
that delivers hallucination-free agent
with 100% guardrails followed & full explainability

Join our newsletter

Stay up to date with the latest product news,
expert tips, and Rippletide resources
delivered straight to your inbox!

© 2025 Rippletide All rights reserved.

Rippletide builds Hypergraph Reasoning Database
that delivers hallucination-free agent
with 100% guardrails followed & full explainability

Join our newsletter

Stay up to date with the latest product news,
expert tips, and Rippletide resources
delivered straight to your inbox!

© 2025 Rippletide All rights reserved.

Rippletide builds Hypergraph Reasoning Database that delivers hallucination-free agent
with 100% guardrails followed
& full explainability

Join our newsletter

Stay up to date with the latest product news,
expert tips, and Rippletide resources
delivered straight to your inbox!

© 2025 Rippletide All rights reserved.