Resource

What is an AI Development Studio?

Production AI. Built to ship. Yours to own.

A development studio builds. Not decks. Not platforms. Working systems.

We partner with organizations that have the ambition and domain expertise — and need a senior engineering team to turn that into production AI. In weeks, not years.

The Model

An AI development studio operates like an external R&D function — but measured by shipped systems, not billable hours.

Build, not advise

Working software, not strategy decks

Ship, then exit

Project-based delivery with clean handover

Your infrastructure

Deployed where you need it — cloud, on-prem, hybrid

Your IP

Code, models, weights, documentation — all yours

Weeks, not years

Proof of Value in 8-12 weeks

The model exists because internal teams are often focused on core roadmaps, navigating governance, or stuck between prototype and production. We step in with a senior engineering team to unblock delivery — then transfer the capability to your organization.

What We Actually Do

1

Understand the problem

What decision, process, or outcome are we improving?

2

Validate feasibility

Is this buildable with available data and infrastructure?

3

Build working systems

Production-grade software, not demos

4

Deploy on your infrastructure

Your cloud, your data, your security

5

Hand over ownership

Code, models, documentation. Yours.

Every engagement follows our Proof of Value framework: working prototype in 8-12 weeks, benchmarked against your operational baselines, with continuous evaluation built in.

6 Deliverables

What You Get

Every engagement produces tangible assets you own outright.

1
Working System
Production AI on your infrastructure. Your data. Your IP.
2
Evaluation Suite
Test suites, regression checks, benchmarks you can run yourself
3
Monitoring
Real-time tracking connected to your KPIs, not just model metrics
4
Documentation
Architecture decisions, operational runbooks, maintenance procedures
5
Team Training
Hands-on sessions so your team owns it from day one
6
Success Metrics
Clear before/after measurement. You'll know the ROI.

Code, models, documentation — yours to own.

How We Compare

Traditional

Produces strategy decks

Advises on what to do

Measures by billable hours

Recommendations without implementation

Sells their platform

You rent capabilities

Their roadmap

Lock-in by design

Per-seat or usage fees

Campaign and creative focus

External-facing outputs

Retainer model

12-18 months to hire

Unproven until they ship

Learning on your dime

Single company context

AI Development Studio

Produces working software

Builds the thing

Measures by working systems

Recommendations are implementation

Builds on your infrastructure

You own capabilities

Your roadmap

Handover by design

One-time build, you own it

Engineering and systems focus

Internal capabilities

Project-based, then exit

Starts in weeks

Proven methodology from day one

Pattern recognition across industries

Cross-sector experience

Questions & Answers

FAQs

Everything you need to know about AI development studios.

What is an AI development studio?

A team of senior engineers who build production AI systems. We advise too — but our advice ships.

How is it different from a consultancy?

We ship working software, not strategy decks. You get code, not recommendations.

How is it different from an AI vendor?

No platform lock-in. We build on your infrastructure. You own the IP.

How is it different from hiring in-house?

Faster ramp-up, proven methodology, cross-industry pattern recognition, and we transfer knowledge to your team.

What do you actually deliver?

Production-grade AI systems — code, models, documentation — running on your infrastructure.

Do you provide materials for internal approval?

Yes. We deliver validated architecture, risk assessment, and resource requirements — everything your executive team needs to make a decision. We just don't pretend the slides are the work.

How long does an engagement take?

Proof of Value in 8-12 weeks. Production scale depends on scope, but we measure in weeks, not quarters.

8–12 weeks

From kickoff to production system. Not a demo—a working system on your infrastructure.

20+ years shipping ML100% IP ownershipNo vendor lock-inYour infrastructure