For Canadian product teams
Qualify an Edge AI technology route before locking the architecture.
FlyPig AI turns a Canadian product requirement into architecture options, researched Taiwan technology candidates, visible risks and the questions required for a defensible next decision.
Useful starting input
Bring the constraints that shape the design.
A finished specification is not required. The engagement starts by separating known requirements from assumptions and unresolved engineering questions.
Compute, latency, power and thermal limits
Vision, sensing and connectivity requirements
Software, lifecycle, certification, cost, volume and timing constraints
Decision outputs
What the engagement produces.
The exact scope follows one product decision. Deliverables identify what appears viable, why, and what still requires direct verification.
Requirement brief
A shared statement of product intent, hard constraints, priorities and evidence still needed.
Architecture options
A comparison of viable compute, platform, vision and sensing routes—not a single premature part recommendation.
Candidate fit matrix
Researched Taiwan technologies compared by capability, maturity, integration burden, lifecycle and known risk.
Qualification questions
A concise list of technical and commercial questions to resolve with candidate suppliers or specialists.
Bounded introduction
When a credible match exists, an optional technical introduction with the question and relationship boundary stated clearly.
When this fits
Use qualification while meaningful architecture choices remain open.
This path is useful when a team is comparing edge compute, embedded platforms, vision or sensing options; reviewing a Taiwan solution; or preparing a more precise supplier conversation. FlyPig AI does not issue engineering sign-off, certification, legal advice or a substitute for prototype validation.
Define the next decision