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.

Melbourne, AustraliaEnterprise governance infrastructureResearch-led engineering

SPQR / AUTHORITY CHAINARCHITECTURE
01
Regulatory baselineReviewed obligations and source lineage
TRUTH
02
PraxisAssess, remediate and agree authority
ESTABLISH
03
Governed workflowsOperationalise the approved response
APPLY
04
AegisVerify authority before governed effect
ENFORCE
05
EvidencePreserve the decision and lineage
PROVE
Authority 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 ≠ prevention

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.

01

Authority outside the model.

The system proposing an action cannot create or activate the authority used to approve itself.

02

Uncertainty stays visible.

Ambiguity, missing evidence and conflict remain legitimate outcomes rather than being compressed into a reassuring score.

03

Fail closed at the boundary.

The integrated enforcement point must hold governed actions without valid authority, mapping or scope. A separate unmediated path remains outside that control.

04

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.

Two founders, different remits. Adam leads product, regulatory architecture and research. Misha leads engineering delivery, operations, enterprise implementation and partnerships.

Meet both founders and their responsibilities
Co-founder · CEO

Adam Mazzocchetti

Adam leads product direction, regulatory architecture, public research and early enterprise design partnerships, connecting policy authority to operational governance.

Operating focus

Own the what and why: product architecture, the evidence model and the questions worth testing with real workflows.

Co-founder · COO

Misha Notra

Misha leads engineering delivery, technology and operations, partner channels, commercial management and enterprise implementation. She brings more than 20 years of technology and governance programme delivery.

Operating focus

Own the how: delivery, engineering execution, operational change and partnerships that make the controls usable.

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.

Accountability before procurement

Know the people. Inspect the scope.

SPQR Technologies is based in Melbourne, Australia. Adam Mazzocchetti is the founder contact for product, research and initial engagements. Current founder roles and biographies are shown above.

Trust information

Review the ISO and SOC assurance statements, then request the applicable entity, covered services and current documents.

Review trust information

Research versus product

Papers are labelled by source and publication status. A controlled research result is not a blanket claim about deployment outcomes.

Inspect bounded evidence

Contracting and delivery

Confirm the contracting SPQR entity, deployment region, support, retention and commercial terms before an engagement.

Ask the right question

One clear next step

Bring the hard question.
We will map the next step.

Policy scope, execution authority or research methods: start with the question you actually need answered.

One workflow. Defined scope. A decision about fit.