AI your security team can approve
Your AI gets the problem. You keep the truth. Togii is a privacy layer, in development, that is designed to keep sensitive values inside your boundary while your teams use large language models. Built for regulated industries.
Every AI platform asks enterprise buyers to trust a privacy policy. In healthcare, financial services, government, and critical infrastructure, trust is not a security control. Evidence is.
Togii is designed to give your InfoSec team signed, hash-chained evidence of every data handling decision across every processing step — independently verifiable by your security architect or any third-party auditor, without our involvement.
Togii is in development. The first enterprise release is targeted for Q1 2027.
Contact us — Bring your skeptical security architect.
Your prospects want AI. Your competitors are promising it. In regulated sectors, the procurement sequence reliably ends the same way:
- Healthcare — Compliance rejects trust-based handling of patient communications and clinical data
- Financial services — Risk cannot approve unverifiable data flows across client correspondence
- Government — Security review stalls; deal dies or drags indefinitely on sovereignty questions
- Legal — Lawyer-client privilege, confidentiality obligations, and bar rules block approval of sensitive communications through unverifiable third-party platforms
- Professional services — Client confidentiality obligations block every standard AI platform
The root cause is architectural, not contractual.
InfoSec and security teams are not blocking AI because they misunderstand it. They block it because current platforms cannot produce independently verifiable evidence of what happened to sensitive data.
Policy attestations and audit rights over vendor-held logs ask buyers to trust the vendor. In regulated procurement, that is not sufficient.
End-users inside regulated organisations face the same barrier — not because they haven't read the privacy policy, but because they reasonably assume AI systems are used for profiling, model training, or behavioural targeting. The assumption is not unreasonable.
Togii is designed to change the question from
"do you trust our policy?"
to "have you verified our artifacts?"
Three options today. None of them works for regulated data.
Two UK patent applications filed (GB2600059.6 and GB2622477.4).
Each path fails regulated procurement for the same architectural reason: none can produce independently verifiable evidence.
Integrate Standard SaaS AI
- Healthcare — compliance rejects trust-based PII handling
- Financial — risk cannot approve unverifiable data flows
- Government — sovereignty requirements fail multi-region processing
- Legal — InfoSec teams cannot approve sensitive communications through unverifiable third-party platforms
- Professional services — client confidentiality obligations block procurement
Build an Internal AI Stack
- Model capabilities freeze — fall behind commercial LLMs every quarter
- Single-model limitation — cannot route to best provider per task
- 12–18 month build cycle — market moves while you develop
- Permanent maintenance burden — engineering perpetually behind
Governance-Only Privacy Layer
- Vendor generates, holds, and interprets the compliance evidence
- Unsigned logs cannot demonstrate tamper-evidence to a skeptical auditor
- Sovereignty claims rely on contractual assurances, not verifiable enforcement
- Regulated procurement increasingly treats vendor-attested evidence as insufficient
Win regulated deals none of the above can bid on credibly.
- Cryptographically signed evidence chain — independently verifiable, no vendor access required
- Customer-held keys — designed so that Togii cannot read customer data
- Latest multi-provider model capabilities — not frozen on a single internal stack
- Evidence designed to be checked by your own team or an external auditor
- Designed for customer self-install
- Compliance discussions shift from "trust our policy" to "verify these artifacts"
Each stage is designed to produce verifiable evidence. The critical distinction from governance-only approaches:
- Signed with published Ed25519 keys — any third party verifies signatures without involving Togii
- Hash-chained across every stage — tampering with any step invalidates the entire chain; detectable independently
- Evidence designed to be checked independently — your security team or external auditor is designed to verify the complete chain with no access to Togii infrastructure
- Sovereignty enforcement artifacted — deployment region, failover policy, and processing location are signed claims in the artifact chain, not contractual assurances
- Latest multi-provider model capabilities — not frozen on a single internal stack
Result
Togii is designed to deliver AI capability for sensitive workloads with evidence your buyers can verify — not promises they must accept.
Built to shorten the security review, not skip it.
Standard Enterprise AI Procurement — How Deals Die Slowly
Endless cycles on PII handling claims nobody can independently verify
Repeated "how do you guarantee no data leakage?" with no resolution path
"Where exactly does our data go, and can you prove it?" — stalls on contractual rather than technical answers
"Does any of this get used for model training or targeting?" — deal freezes without verifiable proof
Typically 6–12 months; frequently stalls entirely
With Togii's Artifact-Based Evidence
Artifacts answer control questions with signed evidence: vault ID, deployment region, PII scan result, boundary crossing log — verifiable by the buyer's own team
Hash-chained, cryptographically signed artifacts replace policy debate; your InfoSec team verifies rather than negotiates
Signed artifact records deployment region, processing location, and failover policy — verifiable without taking Togii's word for it
"Designed so that sensitive values never leave the customer's boundary" is a design intent, not a claim about today
Designed to support evidence for GDPR, HIPAA and SOC 2 reviews; reusable across every deal in the vertical
Why governance-only competitors cannot match this: When the vendor generates, holds, and interprets the compliance evidence, every new buyer's Legal team must negotiate trust from scratch. Togii's artifacts are verifiable by the buyer independently — the same evidence pack reused across the vertical, verified rather than trusted.
Designed to fail safe.
What keeps general counsel awake
- GDPR fines — Up to €20M or 4% of global revenue for mishandling personal data
- Regulatory investigation — "We had strong contractual controls" is not a defence when technical evidence is available and was not implemented
- Class action exposure — Breaches trigger years of litigation and lasting reputational damage
- Board liability — Personal consequences when technical controls are shown to have been inadequate
- Platform association — Reputational risk from deploying AI infrastructure that customers believe monetises their data
Togii's architectural risk reduction
- Raw sensitive data is designed to stay inside cryptographically isolated boundaries — in customer-specified infrastructure, or a deployment region with signed, artifacted processing
- External processing is designed to receive only payloads that pass customer-defined PII policies; if Togii cannot protect a request, the request is designed to stop rather than go to the model unprotected
- Regulators and auditors examine cryptographically signed evidence of what was exported, when, and under which policy — across every processing stage — generated at transaction time, not reconstructed after the fact
- If an external model provider is compromised, exposed payloads are pseudonymised; re-identification requires mapping tables held inside the secure boundary
Evidence you can check yourself.
Togii is designed to produce a signed record for every request — what came in, what was replaced, what the model received and what came back.
Four verification steps — no vendor access required
Your own team, or your auditor, will be able to verify those records independently, without relying on our word.
Verify Signature
Verify the signature on the record
Verify Hash Chain
Confirm the record links are intact across every stage
Verify Region Enforcement
Destination matches jurisdiction policy; deployment matched to your region
Optional: Reproduce PII Scan
Design partners will help shape the evidence format before the first release. Ask us for a walkthrough of the design.
Result: Compliance discussions shift from "trust our policy" to "verify these artifacts against your control requirements" — independently, without us in the room.
Become a design partnerDesigned to sit inside your environment.
Self-install
- Fastest deployment — no infrastructure build required
- Togii-managed operations — updates, patches, monitoring
- Predictable costs — subscription model, no capital expenditure
- Your keys, your control — enterprise key ownership: keys held by your organisation, not by Togii
- Geographic sovereignty — customer-specified deployment region (EU, US, UK, and others); all components remain in-region; no silent cross-region failover; failover policy is explicit and artifacted
- Full artifact chain — signed evidence across every stage; verifiable by customer or third-party auditor without Togii involvement
Works with the models you choose
- Maximum control — deployed to your cloud account or on-premises
- Infrastructure independence — no dependency on Togii-operated services
- Custom compliance alignment — internal security standards, change management, and audit requirements
- Full deployment control — your schedule, your configuration, your audit
Both tiers provide
- Sold and supported through partners — we're building OEM and channel partnerships so you can buy and get support through providers you already use
- Same multi-provider model routing capabilities
- Geographic policy enforcement with signed, logged routing decisions
- Deployment options and pricing are being set with design partners ahead of the Q1 2027 release.
- Designed to sit between your applications and the AI models you already use, through a standard API
- Full compatibility matrix in integration documentation
Built for industries where data can't leave.
Regulated sectors represent the highest-value enterprise accounts — and they are systematically blocked from using leading AI platforms on sensitive workloads today.
Why current platforms — including governance-only layers — cannot gain approval
Require data minimisation, privacy by design, and appropriate technical safeguards. Compliance programmes increasingly reject vendor-attested controls when independently verifiable technical evidence is feasible and available.
Require technical safeguards for Protected Health Information. InfoSec teams cannot approve sensitive communications flowing through systems where isolation controls are attested rather than independently verifiable.
Require demonstrable data handling controls. Vendor-generated audit logs do not satisfy examiners when cryptographically verifiable alternatives exist.
Frequently require deployment region-locked processing with independent verification. Multi-region cloud with cross-border processing fails these requirements structurally; contractual assurances do not substitute for technical enforcement.
Sensitive client communications cannot flow through platforms without independently verifiable evidence of isolation — governance-only assurances do not satisfy professional conduct obligations.
Strategy advisory, financial advisory, and specialist consulting firms handle extremely sensitive client communications. Client confidentiality obligations block standard AI platforms entirely.
Designed to let these organisations use AI on real work.
Togii is designed to let regulated organisations use AI on real work while keeping regulated and confidential data inside their boundary.
Why accuracy matters as much as privacy in regulated sectors
Hallucinations in healthcare, financial services, legal, and professional services are not embarrassing — they are liability-creating. Generic platforms with shallow context produce fabricated references and incorrect outputs that undermine professional standards and create regulatory exposure.
Togii reduces hallucination risk through:
- Policy-governed context handling — context assembled within model window constraints
- Prompt optimisation — context-aware assembly with domain expertise
- Optional multi-model peer review — designed to route critical outputs through independent LLMs for verification before delivery (policy-controlled)
Protected design.
Two UK patent applications filed (GB2600059.6 and GB2622477.4).
The most common objection: "What stops a large platform from adding independently verifiable artifacts to their existing architecture?"
Togii's core approach is the subject of two UK patent applications (GB2600059.6 and GB2622477.4).
Design partners get early influence over the product and early commercial terms.
Advertising-based platforms rely on user data access for profiling and targeting. Cloud inference platforms monetise centralised data processing. Platform lock-in strategies depend on data gravity.
Togii's architecture structurally minimises all three. Adopting Togii's approach would require modifying revenue models that currently generate substantial returns — a structural business constraint, not just a technical one.
Policy-governed context handling, multi-model peer review for hallucination reduction, multi-provider routing, and deterministic rehydration with reproducible outputs.
These capabilities are structurally difficult to implement within single-provider, centralised-inference architectures.
Your compounding advantage as an early partner
Secure regulated accounts while competitors evaluate their options
Once a customer's compliance team validates your artifact chain, switching to any alternative requires restarting their entire validation process from scratch
Each validated reference customer in a vertical accelerates the next; competitors and late-movers start from zero
We're working with a small number of regulated organisations and partners to shape the first release.
Early partners don't wait for general availability. The development runway is a commercial asset.
Begin immediately
- Start customer conversations on privacy-proven AI for sensitive communications before competitors respond
- Walkthroughs of the design
- Compliance mapping — validate how artifacts address your specific control framework requirements
- Integration planning — API compatibility review and deployment architecture design
- Design partners get early influence over the roadmap and preferential early commercial terms, agreed individually
- Internal stakeholder alignment — parallel track while development completes
Q1 2027: First release
- Pilot in a controlled environment of your choice
- Input on your security and compliance requirements, and early access to the evidence format
- Boundary validation testing — API fuzzing, malformed requests, injection attempts, policy violation scenarios
- Performance verification against defined SLOs
- Each stage is designed to produce verifiable evidence with your test data
After the pilot: Production
- Isolated pilot environment with kill-switch capability
- Live monitoring and audit visibility
- Key rotation and access revocation testing
- Continuous artifact generation for ongoing regulatory audit readiness
Why independent development is not a straightforward alternative
Togii's core approach is the subject of two UK patent applications (GB2600059.6 and GB2622477.4).
Design partners get early influence over the product and early commercial terms.
- A substantial development effort — after architecture is confirmed viable, not from today
- Capability gap — internal stacks freeze on a single model; multi-provider routing and advancing model capabilities require ongoing engineering investment to maintain
- Governance-only shortcut — often seen as the least encumbered path; regulated procurement is increasingly rejecting it as insufficient when independently verifiable alternatives exist
First consultation determines fit. Partnership framework follows for qualified opportunities. Founder-led technical architecture — no outsourced core design decisions.
Become a design partnerAlready evaluating AI for a regulated workload?
OEM and channel partnerships are in discussion. If you have a specific compliance requirement — GDPR, HIPAA, SOC 2, sector-specific data sovereignty — and want to understand how independently verifiable artifacts would apply to your environment, we will have that conversation directly.
Working with a technology partner?
If your preferred systems integrator or platform vendor is considering Togii, we can support a joint evaluation. Your partner leads the commercial relationship; we provide the technical evidence layer.
Evaluating independently?
If you want a direct technical conversation — architecture review, evidence chain walkthrough, or a scoped pilot — we speak directly to qualified enterprise buyers. We speak directly to qualified enterprise buyers.
Bring your hardest privacy requirements.
Bring your skeptical security architect.
Bring the compliance framework that has blocked every other AI vendor.
We'll show you how Togii is designed to meet them, and where we need your input.