Services

Build. Implement. Transform. Train.

Four offerings, one thesis: AI creates value when it reaches production and people can run it. Most engagements draw on more than one.

Build

We design and build AI products from first principles: platforms, agents and systems that do real work in production.

Building is where AI Labs started. We take products from idea to production: agentic platforms, data products, payments and membership systems, and the AI capabilities inside them. The products in our portfolio are not demos or prototypes. They are live systems with paying customers, and every one of them taught us something we bring to the next build.

Product definition: what the AI should do, what it must never do, and what proves it works
Architecture and build: modern web platforms with AI capabilities designed in, not bolted on
Agentic systems with the controls production demands: approval gates, execution logs, audit trails
Launch and iterate: we stay through real usage, because that is where AI products are actually finished

From this strand

Build

Kumo

HR technology

An HR platform with an agentic AI colleague that executes HR work rather than suggesting it: hiring, payroll, leave, performance and learning, with a full execution log behind every action.

Build

Saint AGI

Agentic AI platform

Role-specific AI agent teammates for finance, sales, recruiting, marketing, support and operations, plugged into the tools a business already runs on, with approval gates and audit trails built in.

Build

Qeemly

Compensation intelligence

Real-time salary benchmarking for the UAE and GCC, built on anonymised data from companies in the region, replacing payroll guesswork with live market-backed pay ranges.

Implement

We put AI and robotics to work inside real operations: factory lines, workflows and the systems a business already runs on.

Implementation is applied AI in the literal sense: taking capability that exists and making it work inside an operation that cannot stop. That includes robotics and machine vision on manufacturing lines, AI inside existing business workflows, and the unglamorous integration work that decides whether any of it survives contact with reality. We work with the equipment, systems and constraints that are actually there.

Discovery on site: the process as it really runs, not as the diagram says it runs
A working pilot inside the live environment, scoped so it can fail safely
Integration with existing systems: PLCs, MES, ERPs and the tools the team already uses
Scale-up with the operating team trained to own it, so the capability stays when we leave

From this strand

Implement

AI on the manufacturing line

Manufacturing and robotics

Applied AI and robotics implementation inside live production environments: vision, inspection and line-level automation integrated with the machinery and systems already on the floor.

Under NDA

Transform

We transform businesses that already work: rebuilding how an established company operates for the age of intelligence.

Transformation is for the company that is already succeeding the old way. Customers, systems, habits, margins: all real, all working, and all built before intelligence became a utility. We rebuild how the business runs, workflow by workflow, without stopping it. Not a strategy deck and not a big-bang replatform: a deliberate sequence where each phase puts something into production, proves it in the numbers, and hands ownership to the team before the next phase begins.

An operating map: where AI genuinely pays inside your business, and where it does not
Workflow-by-workflow rollout: agentic execution with approval gates, live in the real operation
Your data, documents and rules organised so intelligent systems can use them safely
Your people carried along at every phase, with training delivered through Experrt

From this strand

Transform

AI transformation for an operating business

AI transformation

Taking a business that already operates well and rebuilding how it runs for the age of intelligence: workflow by workflow, with the team brought along rather than left behind.

Under NDA

Train

We train the teams who will run what we build, delivered with our sister company Experrt.

Every build and every implementation ends the same way: people have to run it. Training is delivered with Experrt, our sister company and a dedicated training academy for applied AI, technology and robotics. Courses are facilitated live by a trainer, in person or online, and built around the team's real work rather than generic exercises. For AI Labs clients, that means training designed around the exact system we just delivered.

Role-based training built around your actual tools and workflows
Facilitated live, in person or online, by a trainer
From executive briefings to hands-on operator training
Delivered through Experrt, with attendance and outcomes recorded
Explore the Experrt academy

Not sure which strand you need?

Most people are not. Describe the problem and we will tell you what the work actually involves, and whether we are the right team for it.

Start a conversation