Authority outside the model.
The system proposing an action cannot create or activate the authority used to approve itself.
SPQR Technologies
Built for the moment AI stops asking and starts acting.
SPQR builds the authority chain from regulatory obligation and organisational policy to governed workflows, runtime enforcement and evidence that survives scrutiny.
SPQR / AUTHORITY CHAINACTIVE
01
Regulatory baselineReviewed obligations and source lineage
TRUTH02
PraxisAssess, remediate and agree authority
ESTABLISH03
Governed workflowsOperationalise the approved response
APPLY04
AegisVerify authority before any effect
ENFORCE05
EvidencePreserve the decision and lineage
PROVEAuthority outside the modelProofs, not promises.
Policy assuranceWhat does the evidence actually support?
Approved authorityWho reviewed it, and what was agreed?
Runtime enforcementShould this action be allowed right now?
Verifiable evidenceWhat governed the decision, and what happened?
Why SPQR exists
We did not build another AI assistant. We built the layer that can say no.
AI agents can propose, reason and act at machine speed. The authority to approve those actions must remain independent, explicit and inspectable.
Proposal ≠ authority · context ≠ control · logs ≠ preventionOne company. One governed chain.
Praxis establishes authority. Aegis enforces it.
The products sit at different control points, but they solve one connected problem: turning regulatory expectation into approved organisational authority, then making that authority operational.
01Praxis Policy Assurance
Establish authority.
Assess organisational evidence against the assigned regulatory baseline, preserve the basis for every finding and turn unresolved obligations into an agreed remediation plan.
AssessmentRemediationAgreement
Explore Praxis →
02Aegis Runtime Governance
Enforce authority.
Independently verify the active authority before execution, then preserve a receipt showing what governed the action and what effect occurred.
VerifyAllow / deny / escalateReceipt
Explore Aegis →The design rules
Governance should survive the question: “Why?”
These are not brand values pinned to a wall. They are constraints that shape how the products are designed and what they are allowed to claim.
Uncertainty stays visible.
Ambiguity, missing evidence and conflict remain legitimate outcomes rather than being compressed into a reassuring score.
Fail closed at the boundary.
No valid authority, mapped operation or trusted scope means no execution. Failure must never create permission.
Evidence travels with the decision.
Review, change and runtime verdicts should leave an inspectable chain, not a reconstructed narrative after the fact.
The people in the room
The builders stay close to the control plane.
Early enterprise design partners work directly with the founders responsible for the product, architecture and delivery. The people explaining the system are accountable for what it actually does.
Co-founder · CEO
Adam Mazzocchetti
Adam works across product, regulatory architecture, public research and early enterprise engagements, connecting policy authority to operational governance.
Operating focus
Connect policy authority to operational governance and make the evidence behind each decision inspectable.
Co-founder · COO
Misha Notra
Misha leads the technical architecture and engineering of Aegis, turning signed policy authority into reliable runtime infrastructure for agentic systems.
Operating focus
Turn reviewed, signed authority into reliable runtime control that verifies before any effect.
Research-led engineering
The architecture is public because “trust us” is not a governance model.
SPQR publishes technical and jurisprudential work on action-boundary control, cryptographic policy enforcement, constitutional authority, verifiable trust and governed improvement.
SELECTED RESEARCH / PUBLIC2025—2026
01Runtime Governance for Agentic AIAction-boundary control, trusted provenance and fail-closed execution
↗02Proofs, Not PromisesGoverned candidate improvement for agent control runtimes
↗03Cryptographic Runtime GovernanceThe Aegis architecture for verifiable policy enforcement
↗Talk to the builders
Bring the hard governance problem. We will map the chain.
Policy, evidence, workflow or runtime: start where the uncertainty is highest.
Founder-led discussion · one consequential workflow · no theatre