Governed Strategy
Validating ICP resonance and AI readiness through falsification-based discovery. Ensuring commercial viability before committing capital to implementation.
Product & engineering dossier New York / Remote
Governed AI systems engineered for dependability.
Senior operator with 25+ years across product, project, and technical leadership.
Former CTO of publicly traded Artnet and Founder/CTO at TruthShield. Specializing in production-oriented governed AI: deterministic execution, cognitive architectures, and policy-gated controls. I personally ship software while leading technical organizations and product turnarounds.
Solutions for SaaS Privacy, Security & Release Governance
Product Catalog
Customer-facing products, developer infrastructure, and emerging work—each labeled by what is available today, with a direct path to evidence.
Attestrack
First-party, server-side analytics designed to run in infrastructure the customer controls. Attestrue is a separate commercial extension.
- Customer-controlled deployment
- Open-source core
- Separate commercial extension
Licenz
Offline-first software-license verification for Rust, built around signed licenses, hardware binding, and an explicit threat model.
- Offline verification
- Rust crate
- Documented threat model
SureShift
A read-only product-readiness scanner for teams evaluating architecture, delivery, and recovery risk before they scale.
- Read-only assessment
- No installed agent
- Decision-oriented output
Synapate
An emerging product in the Matthew Cochran Products portfolio. Public details will follow as the product is ready for evaluation.
- Status stated plainly
- No premature claims
FrontRails
A Praxec pack exposing governed product and engineering capabilities, including IntentOS and StructureOS.
- Governed capabilities
- Part of Praxec
- Public source
Sound Playground
A product exploration in local, privacy-conscious audio experiences for children.
- Local-first direction
- Public release repository
Open Source Ecosystem
Safe AI requires deterministic boundaries.
Praxec is a production-oriented foundation for putting deterministic boundaries around probabilistic models—so teams can use AI while retaining control over state, tools, approvals, and evidence.
Explore the Praxec organization ↗Execution kernel
Legal workflow transitions and authoritative gates live in code, not in model interpretation.
Cognitive architectures
Structured, governed approaches for discovery, analysis, FMECA, implementation, and verification.
Deterministic MCP tools
CPM planning, elicitation, scientific process, cross-matrix analysis, corpus work, and operational utilities.
FrontRails
A Praxec capability pack for governed product and engineering work, including IntentOS and StructureOS.
Family Study: Temporal Runtimes
Event-processing for distributed systems.
The tflo family explores embeddable temporal event processing across Rust, WASM, React, and browser environments—with shared models and deterministic behavior as design goals.
Explore tflo repositories ↗Runtime
tflo-core
The embeddable Rust engine and shared temporal foundation.
Interface
tflo-react
Declarative temporal state for React applications backed by the shared runtime.
Interaction
tflo-browser-events
Browser-event capture and signals designed around durable identifiers and pluggable sinks.
Leadership / Attributed Evidence
Leadership &
Attributed Proof
Breadth is useful when it becomes pattern recognition: across public companies, billion-dollar enterprise software, regulated domains, and early-stage teams.
Public-company CTO leadership
Infrastructure modernization under active pressure
Led the migration and consolidation of more than 600 virtual servers to Google Cloud with Infrastructure as Code, zero downtime, and a tested disaster-recovery foundation.
Read external case study ↗Billion-dollar enterprise · Medidata
Flagship-product architecture and portfolio repair
Architected and repaired flagship products and led technical turnarounds for some of the weakest products in the portfolio—work requiring product judgment, delivery discipline, and hands-on technical depth.
Program and delivery governance
Critical-path discipline for consequential work
Applies formal project planning, including CPM, to expose dependencies, sequence work, and control delivery risk—and builds tools that bring the same discipline to agentic coding.
Working method / 03
Conceive the product.
Steward the system.
Discovery, boundary analysis, critical-path planning, implementation, and verification form one accountable delivery loop. The artifacts change; the discipline does not.
Discover→Model risk→Plan the path→Ship→Verify
Consultative Availability
Startup Advisory for Technical Founders.
Focused help when architecture, product direction, AI integration, or delivery mechanics are becoming material company risks. The work is practical, bounded, and designed to leave the team stronger.