Local evaluation
Suitable for architecture review and synthetic scenarios that contain no customer or personal data.
Trust by design
AI should help your people—not quietly outrank them.
Synaporia is designed to give organisations a consistent way to set boundaries, protect sensitive work, require human judgement and review how an AI-assisted decision was handled.
Current readiness
Clear about what is ready and what is not.
Working software is not the same as a qualified service. We use controlled maturity states so buyers can distinguish a local capability from a deployed and independently tested one.
Customer pilot
Not permitted until the remaining identity, evidence, infrastructure, legal and operating checks are completed.
Production use
No production service, guaranteed service level, certification or deployed region is represented.
Assessment boundary: the governed capability ledger distinguishes integrated, locally built, designed and absent controls. No capability is represented as pilot- or production-verified; current counts remain machine-governed in the repository rather than copied into this page where they could become stale.
Five trust commitments
Simple principles for responsible business use.
Business rules come first.
The intended control path checks the organisation's rules before meaningful work proceeds.
AI output cannot grant itself more authority.
High stakes stay human.
Sensitive actions are designed to pause for an authorised person and, where required, a second approver.
Accountability remains with named people.
Use only what is needed.
Purpose, sensitivity and location are treated as decision inputs, not afterthoughts.
Customer data must wait for privacy qualification.
Keep a reviewable decision trail.
The intended record connects the request, applicable boundaries, human decision and outcome.
Local evidence checks exist; independent production assurance remains open.
Uncertainty should slow work down.
Missing context, stale information or an unavailable safeguard should deny or escalate higher-risk work.
The complete deployed failure path still requires qualification.
Contextual control intensity
Increase control when the operation demands it.
Rapid, Standard, Protected, Governed and Critical are operation-level control bundles—not permanent labels for an industry or company. Context and authoritative policy establish the minimum.
Public and low impact
Core safety and cost limits; no privileged effect.
Ordinary business work
Authenticated context and bounded read-only assistance.
Sensitive context
Least disclosure, grounding and confirmation before effect.
Material consequences
Independent challenge, evidence and named human authority.
Very high stakes
Independent review, dual control and stop on disagreement.
The strictest rule wins. A requested tier cannot turn an inherently sensitive action into low-risk work. Business-function rules, data, identity, effect and freshness can always require more control.
Standards and regulation
Mapped for discussion—not presented as certification.
The design has been compared with selected themes in NIST AI RMF, ISO/IEC 42001, the EU AI Act, GDPR and Kenya's Data Protection Act. These mappings support review but do not establish compliance, certification or regulatory approval.
NIST AI RMFISO/IEC 42001EU AI ActGDPR & Kenya DPAMappings only
Make the trust questions concrete.
We can map who decides, which information may be used, what the AI must never do alone and what evidence your reviewers need.
Request a trust workshopSecurity reporting
Report a suspected vulnerability privately.
Email security@synaporia.io with a concise description, affected surface and safe reproduction steps. Do not include customer data, credentials or destructive proof. Receipt and remediation timelines are not yet represented as a production SLA.