AI agency · global delivery

AI agency for production-ready products and systems.

The useful work starts after the demo. We help teams frame the right use case, prove the hard part, and ship an AI system that people can actually operate.

End-to-endstrategy through release
4products we build and operate
10 yearsfounder and operator experience
What we deliver

Built around the use case, not the buzzword.

Sketric is an AI agency that designs and ships AI agents, generative AI, computer vision, and cloud products for ambitious organizations worldwide.

/ 01

AI strategy and product framing

Turn an opportunity, workflow, or operational bottleneck into a measurable product brief with clear data, risk, and ownership boundaries.

/ 02

Agentic and generative AI

Build grounded agents, RAG systems, workflow automation, and model orchestration with evaluation and human handoff built in.

/ 03

Computer vision and edge AI

Deploy detection, OCR, tracking, and real-time vision where latency, privacy, field conditions, or connectivity matter.

/ 04

Full-stack AI product engineering

Connect product UX, web or mobile interfaces, APIs, cloud infrastructure, observability, and the release plan.

Where this creates leverage

A strong fit when the difficult part is the whole system.

We scope delivery around the operating reality, the people responsible for it, and the evidence needed to make the next decision.

01

A valuable use case needs a real product brief

We turn a broad AI ambition into a scoped workflow, success measure, technical approach, and build/no-build decision.

02

The prototype works, but production is the hard part

We add permissions, integrations, evaluation, observability, deployment, and the user experience around the model.

03

The work crosses too many specialist boundaries

One delivery surface brings product, AI, application engineering, cloud, and release ownership together.

The Sketric operating model

Frame it. Prove it. Ship it. Improve it.

Delivery keeps the uncertain part visible early and connects build decisions to production usage and measurement.

DiscoveryUse case, users, workflow, data, risk, and success measure.
Production readinessAccess, evaluation, observability, deployment, and handoff.
IterationSupport, model changes, user learning, and measurable improvement.
Questions teams ask

Useful answers before the first call.

Direct answers for teams deciding whether an AI system is worth building.

What does an AI agency do?+

An AI agency helps a team identify a valuable use case, design the product around it, build the AI and software system, and move it into production with a way to measure performance.

How is an AI agency different from an AI consultancy?+

A consultancy may stop at strategy or recommendations. Sketric can provide the advisory work, then design, build, deploy, and support the product. The engagement can still be consulting-only when that is the right outcome.

Can Sketric work with an existing engineering team?+

Yes. We can lead a focused product sprint, augment an internal team, or own a complete AI product workstream from discovery through production support.

What kind of AI projects does Sketric take on?+

Our work spans AI agents, RAG and document intelligence, computer vision, mobile and edge AI, workflow automation, and full AI product development.

Does every engagement start with a large build?+

No. We prefer to prove the riskiest assumption first. A discovery sprint, architecture review, data assessment, or focused prototype may be the most responsible starting point.

Have a project in mind?

Bring us the workflow, constraint, or ambitious idea.

We will help identify the narrowest useful starting point and the evidence needed to move forward.

Start a conversation →