The verifiable memory layer

AI moves forward.
Evidence stays.

Verifiable memory for AI in production.
Preserve what was known. Inspect what was recorded.

FROM CONTEXT TO EVIDENCE
Evidence recordSAMPLE
01 / SOURCESupport escalationCustomer issue record
RECEIPT REFERENCEdemo_rct_7v2a…e91c Bound to the record

The source stays connected to the decision.

Inspect the sample
Append-only history Cryptographic receipts Tenant-scoped evidence Deterministic replay

01 / THE QUESTION BEHIND THE ANSWER

An answer is a moment.
Evidence gives it a history.

When an AI makes a consequential decision, the answer alone is not enough. What source did it use? Which policy was active? What context was available?

We built PHIROK to keep those references together, so the past can be inspected instead of reconstructed from memory.

Understand the architecture
THE ANSWER

“Escalate this case.”

The outcome, without its context.
THE ANSWER + ITS EVIDENCE

“Escalate this case.”

Source
Customer issue record
Context
Account tier & case history
Policy
Escalation v3.2
Receipt
demo_rct_7v2a…e91c
Illustrative decision record.

02 / THE EVIDENCE LAYER

One record. A complete chain of context.

Six capabilities built around one principle: memory should remain inspectable.

6 capabilities

03 / BACK TO THE MOMENT

Return to the state.
Not a retelling of it.

Move through this sample history. Each checkpoint shows the context recorded at that moment.

CHECKPOINT 01

Evidence enters the record.

A customer issue is captured as source evidence. The later decision has not yet been recorded.

Historical stateSAMPLE
Source
Customer issue record
Context
Not yet bound
Decision
Not yet recorded

Replay concerns stored memory state, not a guarantee of identical model output.

04 / CONFIDENCE HAS BOUNDARIES

Trust the evidence.
Know what it proves.

A receipt can make changes detectable. It cannot make a false source true. PHIROK keeps integrity, provenance and model behavior distinct.

Read the trust model

THE AGENT ECOSYSTEM

Memory for the agent era.

The agents you already use, named as they are. PHIROK is built to be their memory layer: what it records is signed, scoped to its tenant, and reproducible on demand. No black box: what your agents remember becomes evidence you can audit.

YOUR NEXT DECISION

Build with memory.
Stand behind the evidence.

Give consequential AI a history you can inspect.