We train your people to
actually use AI and robotics.
Experrt is a training academy for applied AI, technology and robotics. Every course is facilitated live by a trainer, in your room or online, and built around your team's real work — not a video library they will never open.
What we train
Three subjects, one idea behind all of them: putting the technology to work inside a real business, with the people who have to live with it afterwards.
Why now
Most organisations bought the tools first and are training afterwards, if at all. Three things changed that calculation this year.
Adoption
The tools arrived before the training did
Most organisations rolled out AI licences and assumed capability would follow. It did not. Usage clusters in a handful of enthusiasts while everyone else quietly opts out.
The licences are paid for. The team was not trained.Risk
Untrained use is the expensive kind
Staff using AI without a verification habit produce confident, plausible, wrong work — and it reaches customers. The failure is not the tool, it is the absence of a standard for checking it.
An answer nobody checks is a liabilityObligation
Enforcement started this month
EU AI Act Article 4 requires providers and deployers to take measures supporting AI literacy among their staff. National market surveillance authorities began supervising on 2 August 2026.
What L&D actually has to do under Article 4To be precise about the last one, because plenty of people are not: Article 4 requires measures supporting AI literacy among staff. It does not require a certificate, and no single course makes an organisation compliant. What we produce is a documented, role-proportionate record of the training you actually did.
The platform behind the training
Training is what we do. This is what makes it provable: a shared AI workspace your teams keep using after the course ends, which is also where the observed-practice figures in your records come from. An enabler, not the product.
Conversations
How can I help you today?
A companion for every role: learners, L&D, and owners each get their own.
Active thread: Customer Support Automation
Maya
Experrt, draft a customer support launch brief using our Q2 project docs.
Experrt
Draft ready. I included rollout phases, owners, and risk controls from your policy set.
Luca
Great. Add an operations timeline and suggest staffing impact by week.
Experrt
Updated with a 6-week timeline and staffing estimates. Finance guardrails are applied.
Nia
Looks good. I need a compliance summary before sign-off.
Experrt
Compliance summary generated and attached. Ready for final approval and engineering handoff.
Know where each team actually stands
A five-minute assessment scores every person across five dimensions, by department and by role, so the training answers a measured gap rather than a guess. It is also how we decide what to teach you.
Somewhere for the practice to continue
A governed AI workspace your teams keep using once the trainer has gone home: the right models, your own documents, and guardrails set by your policy rather than by whoever signed up first.
Proof the training happened
Attendance, submissions, grades, facilitator credentials and observed use afterwards, exported as a dated pack. What a funding body, an auditor or a board actually asks to see.
Conversations in action
Every member gets an AI companion matched to their role. Learners get help between live sessions, L&D sees cohorts and gaps, and owners get answers about their people — with individual privacy built in as a hard rule, not a promise.
Learning companion
For every learner
How an engagement runs
Assess
Distribute the assessment by email, link or QR code. Five dimensions, six maturity tiers, scored by department and by respondent role.
Train
The gaps map onto the course catalogue. Book a cohort, and a facilitator delivers it live. Attendance, submissions and grades are recorded as it runs.
Evidence
Export a dated pack: who was trained, on what, by whom, and what changed in observed usage afterwards. The record, not a certificate.
What you get in writing.
When a funding body, an auditor or your board asks what you did about AI capability, you hand them a dated pack — who was assessed, who was trained, by whom, and what changed afterwards. Not a slide of good intentions.
Every item below is a record the platform keeps as the training runs, frozen at export so later edits can never rewrite what a certificate or a pack already says.
Evidence pack
Your organisation
The record
- Role-proportionate training records
- Attendance and grading held per cohort
- Facilitator credentials on record
Verification
- Third-party certificate verification
- Dated, frozen evidence packs
Privacy by structure
- Usage reported by department, never by person
- Row-level data isolation per tenant
- Automated PII detection and guardrails
Pricing that follows the training
The platform is free for your whole organisation. You pay for the training you book, and for the AI your people actually use — metered, capped, and itemised. No seat licences.
Platform
Unlimited members. No trial clock.
- Readiness assessments for the whole workforce
- Scores by department, role and dimension
- Training records, attendance and grades
- Dated evidence packs and certificate verification
- A role-based AI companion for every member
AI usage
Metered at model rates. Nothing when nobody uses it.
- Charged per request, at the rate of the model used
- Daily and monthly ceilings per person, on by default
- Itemised by department on your statement
- Learners run on the efficient model automatically
Courses
Priced for the cohort, not per licence.
- Facilitated live — in your room or online
- Built around your team's real work
- Attendance taken, work graded by the facilitator
- Certificates any third party can verify
- The records land in your evidence pack automatically
Cohort pricing depends on course, group size and delivery mode — ask and you will get a number, not a call-back sequence.
Your people, genuinely
capable with this stuff.
Start with the assessment — five minutes per person, and it tells you which teams need what. Then we come and teach them.