Meta16Labs
Build, deploy and operationalize enterprise AI

AI Factory

Applied research, engineering and productisation that turn domain problems into governed production AI.

Most enterprise AI dies between the pilot and production, because nobody owns evaluation, governance or the on-call rota. The AI Factory is the machinery that carries a model across that gap: problem framing, data contracts, evaluation harnesses, guardrails, deployment and the operating discipline afterwards.

Capabilities

What AI Factory does.

Problem framing

Domain problems specified as measurable, evaluable objectives before any model is chosen.

Agent engineering

Tool-using agents with bounded authority, human checkpoints and complete traces.

Evaluation harnesses

Regression suites for model behaviour. Nothing ships on a demo.

Governance

Explainability, bias testing and human oversight designed in, not bolted on.

Deployment

Cloud, sovereign cloud or on-premise, with the same operating contract.

Productisation

The path from a working model to a supported product with an SLA.

In operation

The engineering layer beneath every Meta16Labs operating system.

Governed
by construction
Traced
every agent action
Evaluated
before every release
Supported
with a defined SLA