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TAI Labs
Custom AI training. A company brain. People ready for what’s next.

Make your team
AI-native.

We train your people on their real workflows. Then Prometheus turns your company’s knowledge into guidance every team can use.

San Francisco, London, New York, Mumbai, Hong Kong, and the world.

Trusted by teams at

Modern HealthWireAppsMPBType B DigitalJ2 Intelligence28Digital
10,000+Professionals trained
80+Teams trained
ClaudeOfficial Claude Partner

Practical. Reusable.
Built around real work.

Free · Live and recorded

Free masterclasses

We make your least effective
team member
as powerful as your best-performing one.

Modern Health customer engagement
Discovery → Training → ImplementationBuilt around your work.

01 · Custom AI Training

Real workflows.
Real capability.

Every programme starts with the work your team already does. We map the systems, bottlenecks and opportunities, then build the training around them.

Your team learns on its own problems and leaves with working outputs: agents, automations, playbooks and redesigned workflows. The capability stays with you.

02 · Prometheus

Your best work.
Available to everyone.

Search your team’s calls, documents and workflows. Get a sourced answer, then learn the process from the people who do it best.

PrometheusExample
You

Team playbooksContext found
PrometheusWork prepared
First-week planReady for you
Ready to explore
PrometheusExample output

Here’s Maya’s first week, built around how your team works.

Day 1

Meet her team. Follow a customer handover.

Day 2–3

Practise with a sample account and your playbook.

Day 4–5

Review a handover with her manager.

Illustrative demo. Your workflows, knowledge and people make it yours.

Explore Prometheus

Stop waiting for the person who knows.

Product

“What keeps coming up in customer calls?”

Today

Read scattered notes.

With TAI Labs

See themes with the source calls behind them.

Sales

“Which objections keep costing us deals?”

Today

Ask the top rep.

With TAI Labs

See patterns and practise a response.

Engineering

“How do we handle this incident?”

Today

Wait for a senior engineer.

With TAI Labs

Follow the runbook and team walkthrough.

03 · AI Career Accelerator

Your next role
starts with real work.

A 12-week programme for ambitious professionals who want to move into AI-native roles. Intensive training, real projects and a startup placement, with career support through the transition.

01

Learn

Build practical AI capability.

02

Apply

Work on real projects with a startup.

03

Accelerate

Turn your experience into career proof.

The work speaks

Capability in practice.

Meet our customers

Modern Health

Six working AI workflows in one afternoon

A three-hour working session in San Francisco turned five recurring operational pains into six inspectable prototypes, built on Modern Health's own data and connected to the tools the team already used.

Read the story

MPB

A shared standard for AI quality, built live

In one 2.5-hour virtual workshop, 16 people built and ran an evaluation on five real support scenarios, then left with an eval contract they could put into a PRD and use the following week.

Read the story

WireApps

50+ engineers on one production-ready approach

More than 50 engineers across the UK, Sri Lanka and UAE aligned on one production-ready language, toolchain and approach to building AI features.

Read the story

Type B Digital

One AI stack adopted across engineers, designers and advisors

Engineers, designers and advisors adopted Claude, n8n and Lovable together—then turned the stack into shared workflows they could use on client work.

Read the story

J2 Intelligence

Helping J2 Intelligence become an AI-native consultancy

An AI-native consultancy engagement for J2 Intelligence: consultants and executives learned together to build repeatable AI workflows across research, strategy, client delivery and go-to-market.

Read the story

28Digital

AI-native workflows across content, curriculum and operations

A live education cohort embedded practical AI-native habits across content, curriculum and operations, with a focus on continued independent improvement.

Read the story

Learner experience

Is it worth it?
Six learners answer.

People who went through the programme, on the work they did, the support they had and what changed for them.

Six learners on the TAI Labs experience
Zainab Ahmed-Safeer
For individuals · Career change in practice

A career change. A new set of skills. A role building AI at Google.

Zainab Ahmed-Safeer

Forward Deployed AI Engineer · Google

Participant story summarised from TAI LabsExplore the AI Career Accelerator
1 / 2

Where people we've trained work

GoogleAmazonMicrosoftCapital OneTikTok

Different places. Shared possibilities.

A new world of work.
A human story.

From San Francisco to Hong Kong, the opportunity is the same: help people build the capability to do what comes next.

01San Francisco
02London
03New York
04Mumbai
05Hong Kong

Keep getting better

Learn as fast
as AI changes.

Map the work. Build the skills. Transform the workflows.