Engineering Intelligent Systems
Guiding safe, scalable and responsible AI. We take AI from prototype to production for healthtech founders, enterprise leaders and product teams — without the governance gaps that stall it there.
Most AI projects don't fail in the demo.
They fail in the gap between a working prototype and a production system someone can be held accountable for.
That gap is usually architecture, not ambition — the system underneath was never built to scale, monitor itself, or survive an audit.
Governance gets treated as a last-minute checkbox instead of a design constraint, and by the time anyone asks "is this safe," it's already expensive to answer.
Four disciplines. One accountable engineer.
AI & ML Infrastructure
The system underneath your AI — architecture, pipelines and integrations built to run in production, not just survive a demo.
Learn moreHealthTech & Well-Being Intelligence
AI for health and well-being products, built by someone who understands both the clinical stakes and the engineering discipline they require.
Learn moreAI Ethics, Governance & Security
Guardrails against the failure modes that make headlines — prompt injection, data poisoning, model drift — built in, not bolted on.
Learn moreEngineering Leadership & Program Execution
A P.Eng. and PMP running your program, not just advising it — accountability that shows up in the deliverables.
Learn moreThree kinds of buyer. Three different problems.
"Build the AI feature your investors expect, without the compliance risk your lawyers fear."
HealthTech Founders
Read more"Get a straight technical answer on whether your AI initiative is ready to scale — before the board asks you."
Enterprise Leadership
Read more"Ship the AI feature that survives contact with real users, real data, and real edge cases."
Product Teams
Read moreHow engagements start.
A 30-minute conversation about what you're building and where it's stuck. No pitch, no obligation.
A defined, priced piece of work — an architecture review, a governance audit, a technical due-diligence pass — with a clear deliverable and timeline.
Advisory retainer, fractional leadership, or a project team — matched to what the assessment actually found.
Common questions.
What does Tachyon Lab do?
Tachyon Lab is an engineering-led AI consultancy that helps healthtech founders, enterprise leaders and product teams take AI from prototype to production — covering architecture, governance and program execution.
Who is Tachyon Lab for?
Three kinds of clients: healthtech founders building AI features under compliance pressure, enterprise leaders who need an independent technical read on whether an AI initiative is ready to scale, and product teams shipping AI features that need to survive contact with real users and data.
What makes Tachyon Lab different from other AI consultants?
Tachyon Lab is led by a licensed Professional Engineer (P.Eng.) and certified Project Management Professional (PMP) — a legal and professional standard of accountability most AI consultants don't carry.
How does an engagement with Tachyon Lab start?
With a 30-minute discovery call, followed by a scoped assessment — an architecture review, governance audit, or technical due-diligence pass — before any larger engagement begins.
Where is Tachyon Lab based?
Vaughan, Ontario, working with clients across Canada and the United States.
Book a consult.
A first call covers what you're building, where it's stuck, and whether Tachyon Lab is the right fit for it.