Research
Finds public-safe evidence and flags uncertainty.
QMAI Labs / QuantumMind AI
Governed AI systems for real-world operations.
QMAI builds the harness around agents: memory, approval gates, audit trails, task routing, review loops, rollback posture, and human judgment.
Public proof is surfaced as reviewed static evidence. Private proof-of-work, prompts, memory schemas, client records, trading logic, tax mappings, and provider internals stay protected.
Human approval API
Founder-led control before action
01Memory
02Approval gates
03Audit trails
04Task routing
05Review loops
06Rollback
07Human judgment
Current launch posture
Controlled demos available. Systems under active development. Adoption signal, not audited production scale.
Agent swarm, bounded by design
Specialized agents coordinate inside a governed operating loop.
The value is not generic automation. It is the system of constraints around the work: what an agent can see, what it may change, what must be reviewed, and what gets recorded for the next build loop.
Builder
Turns scoped packets into reviewable implementation diffs.
Reviewer
Checks claims, tests, boundaries, and regression risk.
Operator
Keeps outcomes tied to approval, handoff, and state updates.
Workflow harness
The proof is the path from idea to reviewed state.
This is the central operating pattern: a founder or customer idea becomes a scoped packet, then an implementation diff, then a human-approved state update.
- 01Founder/customer idea
- 02ORC task packet
- 03Codex implementation
- 04PR / diff review
- 05Human approval
- 06Durable state update
Repo-native spine
Every serious build needs a reviewable trail.
QMAI positions repo activity, PR review, proof packets, and release notes as the public-safe layer. The raw internals stay private; the control pattern becomes inspectable.
Founder-led control plane
Command Core
Victor stays the human approval API while QMAI systems turn ideas into bounded task packets, diffs, reviews, and durable state.
Public-safe operating pattern
Specialized, bounded work loops
Agent Swarm
Specialized agents coordinate around memory, routing, review gates, and task handoffs without implying unchecked autonomy.
Systems under active development
Implementation evidence
Repo-Native Spine
Work moves through repo-native execution: task packet, implementation, PR/diff review, human approval, and state update.
Reviewed/static release surface
Founder-reported signals
Public Proof Layer
Public proof is surfaced as reviewed static evidence, with private proof-of-work and raw internals protected.
Reviewed static values
Selected systems
A public constellation of bounded systems.
Each card is a public-safe surface for a deeper operating system. These are not unchecked agent promises; they are scoped systems with explicit boundaries.
QMAIHuman approval API
Internal orchestration OS
QuantumMind Builder v1
Internal OS for orchestration, scoped memory, approvals, PR review, implementation workflows, and task handoffs.
Public-safe system card
Scoped memoryApproval gatesPR reviewTask handoffsRollback points
Internal orchestration OS
QuantumMind Builder v1
Internal OS for orchestration, scoped memory, approvals, PR review, implementation workflows, and task handoffs.
Simulation-first research governance
AL ORC
Paper/simulation-first trading research governance for signal review, journaling, and bounded strategy work. No live trading behavior is implied.
CPA review-first workflow concept
TaxMate AI
CPA workflow assistant concept for preparation support, confidence handling, and review-first document workflows.
Service-business workflow infrastructure
LocalOps Automation
Automation surface for missed-call recovery, quote follow-up, lead routing, scheduling, and CRM-style handoff loops.
AI-readable business fact layer
Agent-Ready Card / Agent Web Infrastructure
Structured public-safe business facts that make companies more readable, quotable, and safely actionable by AI agents.
Public proof layer
Founder-reported proof signals, reviewed before publication.
Values are static/public-safe and updated through reviewed content changes (reviewed PR model). Future automation can propose updates, but never auto-publish.
AI-native building
Reviewed0+ years
Proven continuity in controlled, governed AI systems work.
Founder-reportedStaticLast reviewed 2026-06-08
AI-builder tokens
Reviewed0.0B+
Aggregated from reviewed internal token accounting records.
Founder-reportedStaticLast reviewed 2026-06-08
Peak token day
Reviewed0M+
Peak daily token throughput from reviewed internal rhythm summaries.
Founder-reportedStaticLast reviewed 2026-06-08
AI build threads
Reviewed0+
Tracked implementation threads in controlled private workflows.
Founder-reportedStaticLast reviewed 2026-06-08
QMAI propagation
From local build loop to public Labs release surface.
The public site is the release surface for reviewed proof, systems cards, controlled demos, and founder operating notes. qmai.dev is secured for the future Labs domain, but launch remains gated.
qmai.dev has been secured as the future QMAI Labs domain. Public launch/configuration remains gated behind DNS and deployment verification.
Founder-led systems audit
Bring one high-value workflow. Leave with the control map.
The first conversation is about scope, risk, evidence, handoff, and the shape of a governed build. No private client data, secrets, or raw internal material belongs in the first request.
Best fit
Best for operators with a messy workflow and high cost of mistakes.
Review focus
Map memory, approval gates, audit trail, routing, rollback, and human review.
Static selector only. It stores no input, sends no events, and does not connect to any runtime.