An AI memory layer the public sector can defend.

Designed for the regulatory, custodial, and accountability obligations that distinguish public-sector AI deployment from any other use case.

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Public-sector duties SAIHM is built for

  • Citizen sovereignty over their data. When a citizen requests erasure, the cryptographic key is destroyed. The record cannot be reproduced afterwards by anyone, including the operator. That is what “right to be forgotten” should mean in practice.
  • Cross-border control. Different ministries, different jurisdictions, different data-localisation rules — all running on one public protocol with the same compliance posture, without coupling sensitive memory to any one country’s vendor.
  • No vendor lock-in. Public bodies should not be hostage to a private AI supplier’s commercial fate. SAIHM is Apache 2.0 and operates on a public network. Your data and your agent identities outlive any single supplier.
  • Auditable by anyone. Build artefacts are committed to a public, dated, append-only ledger. Independent technical auditors — including those reporting directly to legislatures or supreme audit institutions — can verify what is running against what is published.
  • Records-management alignment. Configurable audit retention aligned to your record-management framework: from short windows for working notes to long horizons for matters of state record.
  • Procurement-friendly. Open licence. No proprietary backend. No mandatory cloud region. No single-supplier dependency.

Where SAIHM fits in public-sector AI

Whether your context is a regulator, a benefits agency, a health authority, a defence ministry, a court, a tax authority, or a municipal service desk — SAIHM addresses the same shared problem: AI agents that need to remember things about citizens, cases, or matters of state, but where neither the citizen nor the state can accept that memory living in a private vendor’s opaque silo.

  • Memory portability across agencies — with scoped, revocable sharing.
  • Sovereign audit trails the agency itself controls.
  • Cryptographic erasure capability that can be put in writing in a citizen charter.
  • Public-protocol commitments suitable for legislative or supreme-audit-institution oversight.

Real-world examples

Names invented; scenarios drawn from how the protocol actually fits public-sector contexts.

  • Nadia, head of digital services at a regional benefits ministry. Deploys an AI to triage citizen claims. Erasure on request is a contractual requirement under the citizen charter; SAIHM’s cryptographic erasure produces a verifiable receipt the citizen can independently check on the public chain.
  • IT lead at a court system. Pilots a research AI for chambers staff. The audit trail of what the AI knew about a particular matter at a particular time must be immutable for chain-of-custody purposes; SAIHM’s dated, append-only public-chain anchors satisfy the court’s evidentiary standard.
  • Ezekiel, public-sector tech lead at a regional health authority. Wants to share specific aggregate AI insights with neighbouring agencies (e.g., vaccination patterns) without granting cross-agency open access to the underlying records. SAIHM’s per-record sharing with revocation gives him exactly that gating.
  • An analyst-tools team at a defence ministry. Memory must be sovereign and the running build must verifiably match what was published. SAIHM’s public-chain build commitments are reproducible by the ministry’s own internal audit without depending on a private vendor’s attestation.

What SAIHM will not do

  • SAIHM’s operator will not look at your data — and cannot. Memories are sealed before they reach SAIHM.
  • SAIHM will not run an opaque hosted backend you cannot audit.
  • SAIHM will not gate any government-relevant compliance feature behind a higher tier.
  • SAIHM will not retain a record after a citizen has invoked erasure. The key is destroyed.

Reasons to Join SAIHM now

  • The procurement bar for AI in government is rising fast: erasure, vendor neutrality, sovereignty, and auditability are increasingly contractual rather than aspirational. SAIHM ships with all four.
  • Public-protocol commitments make supreme-audit-institution and parliamentary oversight feasible in a way private SaaS cannot match.
  • Open standards future-proof public investment against the next AI-vendor consolidation cycle.

Taxonomies and crossovers

All taxonomies and crossovers are inherited by every AI Agent to streamline AI Agentic commerce possibilities. See the Appendix — Taxonomy authorities for the official sources SAIHM maps against.

For regulatory and audit review

The Trust Center consolidates SAIHM’s security, privacy, compliance, license, and disclosure posture in one document — including how cryptographic erasure satisfies GDPR Art. 17 / CCPA right-to-delete, what the public on-chain audit trail covers, and which sub-processors the protocol depends on.

Engage

For public-sector pilots, regulatory briefings, or independent-audit access, contact ops@saihm.coti.global. For coordinated security disclosures, see /security.txt or /trust#disclosure.

Pricing for all tiers is on the pricing page.

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