Tide-1 API

Decision infrastructure for AI agents.

Rippletide checks agent actions against your company’s policies and shows you why a decision was made.

Coming soon Tide-1 · for builders · Tide it

Decision models / Performance

Results so far.

IAM approvals

96%

Correct access decisions.

Over 9K replayed decisions.

Tide-EnterpriseSee the evidence

Code diff review

1 line

Catch a cross-customer data leak.

Happy path passes. Isolation test fails.

Tide-1Run the sample tests

Customers & design partners

01 / Tide-1 playground

Tide it.

Customer support agent

Send the ticket. Get the next step.

Illustration
bank: north-store
Question

The blender arrived cracked. What should the agent do?

Choices
  • Send a replacement
  • Refund in full
  • Store credit
  • Ask for photos
Context
order
KX-200 blender, delivered 2 days ago
message
It arrived cracked. I still want one.
Recommended

Send a replacement

  1. Send a replacement81%
  2. Refund in full11%
  3. Store credit5%
  4. Ask for photos3%
Memory used: 2 of 12 facts
  • Replacement KX-200s ship in 2 days.
  • Photos of the crack are on the ticket.
Policy applied
  • Damaged on arrival: offer a replacement before a refund.

Illustration: placeholder facts and scores, not a live Tide-1 call.

Request early access

02 / Use cases

Every job has decisions with a right answer.

Customer service agent

Refund or replace? It depends on the store.

Use the right store policy, order facts, and customer exceptions to choose the next step.

Input: ticket + customer policy + current facts
Choices: replace / refund / request information
Output: the next decision for your support agent
KPI96% of tickets resolved
83% → 96% vs the agent alone Consumer goods group, benchmark on new cases

03 / Tide-Enterprise

Connect your data,
agent-ready or not.

Index your sources of truth into one hypergraph, without copying your data.

Contact us
01 / Source systems → hypergraph

Add a document, played through. Device return policy is dropped in. Rippletide reads its 3 clauses one at a time. §1 Return window: A faulty device can be refunded within 30 days of delivery, dated by the carrier record. Becomes a Draft Rule. §2 After the window: After 30 days, a faulty device is replaced under warranty instead of refunded. No Rule: an instruction for the agent. §3 Proof of delivery: With no delivery date on the order, ask the customer for it before any refund. No Rule: an instruction for the agent. Then the document connects to the Map: Source, Device return policy, new; Rule, Refund a device only within 30 days of delivery, a Draft, new; Action, refund_customer, already there, now linked. Rules from a document start as Drafts.

Usable business dataShared decision referenceExplainability & traceability

04 / Enterprise evidence

Then let your
agents cook.

Consumer goods / Customer service

76.5%

Fewer unresolved tickets

Resolution: 83% → 96% vs the agent alone.
Benchmark on new cases.

Automotive / Credit

98.9%

Correct credit assignments

100+ cases.
Credit policies turned into executable rules.

Enterprise software / IAM approvals

96%

Correct access decisions

2% escalated, 2% incorrect. Over 9K decisions replayed.
383 business rules made explicit.

Each result comes from a separate customer evaluation.

For the agent you are building

Bring the decision
your agent needs to get right.

Tide-1 is in closed beta. Leave your email and we’ll reach out.

Enterprise? Contact us