Media & Press Kit

Brand assets, company information, leadership profiles, and press resources for Corvair.

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Company Overview

Corvair is a patent-backed AI governance advisory firm headquartered in Singapore, serving highly regulated industries and public sector organisations where high-consequence decisions must be made with confidence. The firm's clients 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.

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The Problem We Solve

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.

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What Makes Corvair Different

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.

Quick Facts

CompanyCorvair Pte Ltd
Founded2025
HeadquartersSingapore
IndustryAI Governance Advisory
Websitecorvair.ai
Target MarketHighly regulated industries and public sector: BFSI, Healthcare, Government
Patents3 applications filed (Singapore, 2025)
Risk Catalog133 agentic AI risks across 15 categories
Use Cases234 scored across BFSI, Corporate Finance, Healthcare, HR
Regulatory Guides28 guides across 10+ jurisdictions
Research6 assessments, 111 professional archetypes
BookProxy.Me: Agentic AI Digital Apprentices (April 2026)

Key Media Topics & Story Angles

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Three Patents

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.

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Six Sigma for AI

Applying Lean Six Sigma measurement to AI governance. Treating governance failures as measurable defects, not subjective compliance gaps.

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Military ConOps for AI

How Corvair applies military Concept of Operations doctrine (Commander's Intent, Mission Command, DMAIC) to autonomous AI agent governance.

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133 AI Risks

The publicly available risk catalog scoring 133 agentic AI risks on a six-dimension DAMAGE framework, mapped to 13 regulatory frameworks.

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Crowdsourced Research

Six original assessments studying how AI is reshaping professional work. Free, anonymous, and open to all knowledge workers. Dual-condition methodology. 111 archetypes.

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Digital Apprentices

How today's AI assistants will evolve into governed digital apprentices with omnichannel communication, mesh networking, built-in governance, and zero standing privileges.

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Regulatory Landscape

Navigating MAS AIRG, EU AI Act, NIST AI RMF, and sector-specific requirements. 28 guides with a coverage matrix.

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AI Economics

Why traditional IT economics gets AI wrong. First-principles analysis of ROI, TCO, token economics, and budgeting for autonomous AI agents.

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Founding Story

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.

Proxy.Me: Agentic AI Digital Apprentices

Proxy.Me: Agentic AI Digital Apprentices

By Christopher Jackson (April 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.

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Research Programme

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.

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Will AI Replace Me?

AI Vulnerability Study: 18 archetypes, 4 dimensions

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Are We Adopting AI Fast Enough?

AI Adoption Study: 30 archetypes, 3 axes

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What's Holding Back My Use of AI?

Structural Friction Study: 15 archetypes, 3 friction types

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Research data, aggregate findings, and methodology details available for media on request.

Brand Assets

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Brand Colours
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Logo Usage Guidelines
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Leadership

Christopher Jackson
Christopher Jackson

Founder & CEO

35+ years at the intersection of enterprise data, analytics, and AI. NUS Chief Strategy Officer Programme graduate. Former Teradata Field CTO for Global Emerging Markets and APJ. Three patent applications in agentic AI governance. Author of "Proxy.Me: Agentic AI Digital Apprentices". American citizen based in Singapore.

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Mandar Dongare
Mandar Dongare

Co-Founder & VP Engineering

20+ years delivering large-scale data and analytics platforms for global financial institutions. Former VP at BNY Mellon. Former Teradata Senior Architect. Leading the development of Corvair's governance platform. BNY Mellon Global Innovation Challenge winner (2017).

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High-resolution headshots available on request. See the full team page for additional team members.

Boilerplate

Full Version

Corvair is a patent-backed AI governance advisory firm based in Singapore, serving banks, insurers, and financial institutions navigating MAS AIRG, EU AI Act, and US regulatory requirements for agentic AI. Founded by Christopher Jackson, a former Teradata Field CTO with 35+ years in enterprise data and AI, Corvair takes an architecture-first approach: treating governance controls as structural properties of the system rather than procedural afterthoughts. The firm's IP portfolio includes 133 agentic AI risks scored on the proprietary DAMAGE framework, 234 scored use cases across four industries, 28 regulatory guides, and six original research assessments with 111 professional archetypes. Three patent applications cover novel approaches to agentic AI governance, and the methodology applies Lean Six Sigma principles to make AI governance as measurable as manufacturing quality.

Short Version

Corvair is a patent-backed AI governance advisory firm helping regulated financial institutions build architecture-first governance for agentic AI.

Social Media

Corvair: patent-backed AI governance advisory. 133 scored risks, 234 use cases, 28 regulatory guides. Architecture-first, not policy-first. corvair.ai

Media Contact

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Press Enquiries

media@corvair.ai

We aim to respond to media enquiries within 24 hours.

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What We Can Provide
  • Executive interviews and background briefings
  • Data and research findings from our assessments
  • Expert commentary on AI governance and regulation
  • High-resolution logos, headshots, and brand assets
  • Product demonstrations and technical deep dives
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About Corvair
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Intellectual Property
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Proxy.Me Book
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Risk Catalog

Schedule a Briefing

Interested in learning more about Corvair's approach to AI governance? Schedule a complimentary 60-minute briefing.

Schedule a Briefing Media Enquiries