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Comparison

Raidu vs Holistic AI

Holistic AI audits quarterly. Raidu accounts every second. A periodic audit is a snapshot of policy and process. An Accountability Layer is the continuous ledger that the next audit will read from.

Holistic AI: AI Auditing / periodic third party assessment Raidu: AI Accountability Layer
Holistic AI

What it is

An AI audit and assurance firm that performs periodic assessments of AI systems against bias, fairness, robustness, and regulatory criteria. Holistic AI delivers structured audit reports, supports board reporting, and aligns to EU AI Act, NYC Local Law 144, and similar frameworks. The output is a deliverable, typically quarterly or per release.

Raidu

What it is

The AI Accountability Layer. Raidu sits on production AI traffic and produces a cryptographically signed record per interaction (RSA-4096, SHA-256 chained, WORM stored). The output is continuous evidence, queryable in seconds, that any audit (Holistic AI's or another's) can verify directly.

How periodic audit and continuous accountability differ

A periodic audit is a deep, infrequent inspection. The auditor reads policies, interviews owners, samples cases, applies frameworks, and produces a report. The cadence is quarterly, semi annual, or per release. The output is structured assurance.

Continuous accountability is a shallow, always on inspection. Every interaction produces an evidence record automatically. There is no sampling and no waiting for the next audit window. The output is a tamper evident ledger.

The two are not in tension. The audit reads better when the ledger is there to read. The ledger is more credible when the audit confirms it. Smart enterprises run both.

Side by side

DimensionHolistic AIRaidu
CategoryAI auditing / assurance firmAI Accountability Layer (runtime)
CadenceQuarterly or per releaseContinuous (per interaction)
CoverageSampled casesFull production stream
Primary deliverableAudit reportSigned record per interaction
Bias and fairness analysisStrongOut of scope (model side)
Policy and process reviewStrongOut of scope (program side)
PII redaction at runtimeOut of scopeYes, 99.2% accuracy, 60+ entities
Tamper evident recordAudit trail of the auditRSA-4096 signed, SHA-256 chained, WORM stored
EU AI Act Article 9 / 17Direct fitOperational evidence
EU AI Act Article 12 loggingDocuments the requirementProduces the records
NYC Local Law 144 bias auditDirect fitPer candidate record

When to pick which

Pick Holistic AI alone if your obligation is periodic third party assessment with regulatory framing (EU AI Act conformity assessment, NYC Local Law 144, Colorado SB 24-205 readiness). The buyer is the CCO or AI ethics lead.

Pick Raidu alone if your obligation is operational evidence: a regulator, customer, or board asks “what did your AI do today and prove it.” The buyer is the CISO or CTO.

Pick both if you are subject to the EU AI Act for a high risk system, where Articles 9 and 17 require an audited program (Holistic AI) and Article 12 requires per event records (Raidu).

The structural difference

A periodic audit is structured assurance at a moment in time. An Accountability Layer is operational evidence over time. The first is a deliverable. The second is a ledger. They serve different audiences and answer different questions.

Where to read more

Common questions

Buyers ask, before they pick a side.

Does Raidu replace an AI audit firm? +
No. Raidu is the system that produces the operational evidence an audit reads. An audit firm performs the assessment, applies frameworks, and writes the report. Many enterprises engage an audit firm precisely so they can verify the Raidu records independently. The two work together.
What does Raidu give an auditor that periodic assessment alone cannot? +
Continuous evidence. A periodic audit is a sample taken at a point in time; the auditor reviews policies, interviews staff, and tests a small set of cases. Raidu provides the full population of interactions as signed records. The auditor can sample from the actual production stream and verify the chain has not been tampered with.
Is Holistic AI's output a substitute for a runtime layer? +
Not under regulations that require per event records. The EU AI Act Article 12 calls for automatic logging of high risk events; that is a runtime layer obligation, not an audit firm deliverable. Holistic AI's reports cover the program; the runtime is a separate technical control.
If I am pre revenue or small, do I need both? +
Probably not yet. A small organization with two AI use cases can usually start with documented policies and an annual external review. The threshold for needing a runtime accountability layer is when AI moves to volume, when interactions exceed what sampling can credibly cover, or when a regulator or customer asks for per interaction evidence.
Which one helps with NYC Local Law 144 / hiring AI? +
Holistic AI's bias audit deliverable directly. Raidu can produce the per interaction record showing which candidate was evaluated, which model was used, which policy version was applied. The two are complementary; Local Law 144 specifically requires the audit deliverable.
Which helps with the EU AI Act? +
Both, at different points. Holistic AI's assessments cover Articles 9 (risk management) and 17 (quality management). Raidu satisfies Article 12 (automatic logging) and Article 13 (transparency to deployers) at runtime. Article 12's tamper evidence requirement is a runtime layer responsibility.
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See it in production

Decide on the proof, not the pitch.

Bring a use case. We will show you the runtime, the signed record, and what a regulator readable trail looks like for your AI stack. Thirty minutes.

Book a demo → What is an Accountability Layer?