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AI factory

AI factory

An AI factory is the repeatable setup, infrastructure, team, and process, that turns AI use cases into shipped software, one after another. We build yours, or run it for you.

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Sketch: conveyor belt with a robotic arm assembling modules

What is an AI factory?

An AI factory is the repeatable setup, infrastructure, team, and process, that turns AI use cases into shipped software, one after another. Instead of each AI project starting from zero, an AI factory reuses evaluation frameworks, data pipelines, and deployment patterns across every new use case. Codiot builds an AI factory for you, or runs one on your behalf.
Capabilities

What we build.

Shared infrastructure

Reusable data pipelines, vector stores, and deployment patterns, so each new AI use case starts from a working base instead of zero.

Standardized evaluation

A common framework for testing AI quality across use cases, so 'good enough to ship' means the same thing every time.

A dedicated team or embedded pod

Either a team we staff and run, or one embedded inside your organization, depending on how much you want to own directly.

Prioritization process

A repeatable way to evaluate and rank new AI use case requests, so the factory doesn't get clogged by every idea that comes in.

Governance and guardrails

Consistent safety and compliance checks applied across every use case the factory ships.

How it works

How it works with Codiot.

01

Build the shared base

Data pipelines, evaluation tooling, and deployment patterns get built once, for every use case after to reuse.

02

Ship the first two or three use cases

Early wins prove the model and refine the shared infrastructure before scaling headcount.

03

Scale the intake process

A prioritization framework lets the factory absorb new requests without every one becoming a custom project.

Why Codiot

Stack we use, and why teams choose us.

PythonVector databasesLangChainAWSKubernetes
  • ·Senior engineers only, no hand-offs to juniors mid-project
  • ·Overlap hours with US/EU time zones
  • ·Weekly demos and a single point of contact
  • ·Code you own, documented and tested
FAQ

Common questions, answered plainly.

What is an AI factory?
An AI factory is the repeatable infrastructure, team, and process that turns AI use cases into shipped software, one after another, instead of each project starting from scratch.
How is this different from AI development services?
AI development ships one feature or product. An AI factory is the reusable infrastructure and process that lets you ship many AI use cases faster over time, once the first one or two are live.
How much does building an AI factory cost?
Initial setup covers shared infrastructure plus the first two use cases, and per-use-case cost drops significantly afterward. We scope it against your first use cases before you commit.
Can you run our AI factory for us instead of us hiring a team?
Yes, we offer AI-factory-as-a-service, where we operate the shared infrastructure and ship use cases on your behalf, similar to our GCC model.
How long until the factory is producing results?
The shared infrastructure and first use case typically take 8-12 weeks. Each additional use case after that ships significantly faster.
Related

Explore related work.

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