Brand assets, company information, leadership profiles, and press resources for Corvair.
Corvair is a AI product company building governed knowledge and reasoning software headquartered in Singapore, serving highly regulated industries and public sector organisations where high-consequence decisions must be made with confidence. The company serves organisations that span banking and financial services, insurance, healthcare, and government agencies navigating MAS AIRG, EU AI Act, and US regulatory requirements for autonomous AI agents. Corvair takes an architecture-first approach: treating governance controls as structural properties of the system rather than procedural afterthoughts.
Autonomous AI agents accumulate authority, drift from their declared purpose, and make consequential decisions on premises that may no longer be true. Conventional security and governance models were not designed for non-deterministic software that acts independently. Corvair provides the technical architecture to make governance enforceable, measurable, and auditable.
Three patent applications filed in Singapore. Lean Six Sigma measurement applied to AI governance. Senior-only delivery. Original multi-method research programme with 111 professional archetypes. A comprehensive IP portfolio: 133 scored risks, 234 use cases, and 28 regulatory guides.
How three patent applications address the full lifecycle of AI agent governance: how agents reason, how their premises are validated, and how their authority is controlled.
Applying Lean Six Sigma measurement to AI governance. Treating governance failures as measurable defects, not subjective compliance gaps.
How Corvair applies military Concept of Operations doctrine (Commander's Intent, Mission Command, DMAIC) to autonomous AI agent governance.
The publicly available risk catalog scoring 133 agentic AI risks on a six-dimension DAMAGE framework, mapped to 13 regulatory frameworks.
Six original assessments studying how AI is reshaping professional work. Free, anonymous, and open to all knowledge workers. Dual-condition methodology. 111 archetypes.
How today's AI assistants will evolve into governed digital apprentices with omnichannel communication, mesh networking, built-in governance, and zero standing privileges.
Navigating MAS AIRG, EU AI Act, NIST AI RMF, and sector-specific requirements. 28 guides with a coverage matrix.
Why traditional IT economics gets AI wrong. First-principles analysis of ROI, TCO, token economics, and budgeting for autonomous AI agents.
Why a former Teradata Field CTO left enterprise tech to build a patent-backed governance firm in Singapore, and why the timing matters for regulated industries.
mailContact media@corvair.ai for interviews, data, or background briefings on any topic.
By Christopher Jackson (May 2026)
Today's AI coding assistants and open-source agents operate as isolated tools: single-channel, stateless, ungoverned, and disconnected from the enterprise. A digital apprentice is fundamentally different. It is an AI agent that functions as a genuine professional understudy: communicating across channels including voice, coordinating with other agents through mesh networking, operating under built-in governance with full auditability, and enforcing zero standing privileges by design.
This is not a technical manual. It is a business book for knowledge workers and the leaders responsible for them, explaining how the current generation of digital assistants will evolve into governed digital apprentices, and what organisations need to do now to be ready for that transition.
Corvair operates an independent, crowdsourced research programme studying how AI is reshaping professional work. Six original assessments, built on dual-condition methodology, produce 111 professional archetypes across dimensions of vulnerability, adoption, friction, enablement, risk calibration, and data readiness. Participation is free, anonymous, and open to all knowledge workers.
AI Vulnerability Study: 18 archetypes, 4 dimensions
AI Adoption Study: 30 archetypes, 3 axes
Structural Friction Study: 15 archetypes, 3 friction types
Research data, aggregate findings, and methodology details available for media on request.
High-resolution headshots available on request. See the full team page for additional team members.
Corvair.ai is a Singapore-based AI product company building governed knowledge and reasoning software for regulated institutions, supported by original research, advisory, and implementation services. Its flagship, the Corvair Knowledge Substrate, combines institutional content and licensed expertise with governed reasoning and source-cited answers. Corvair transitioned from a primarily advisory business to a product company in April 2026. Founded by Christopher Jackson, the company publishes original research, regulatory guides, and practical writing on AI and enterprise knowledge.
Corvair.ai is a Singapore-based AI product company building governed knowledge and reasoning software for regulated institutions, supported by original research, advisory, and implementation services.
Corvair.ai builds governed knowledge and reasoning software for regulated institutions, supported by original research, advisory, and implementation.
Interested in learning more about Corvair's approach to AI governance? Schedule a complimentary 60-minute briefing.
Schedule a Briefing Media Enquiries