Training and team support.

At Meybrain Technologies we build training around examples from your own business. The goal is for the knowledge to stay with you, not with us.

Many companies buy or commission a system and never see the full return because their team cannot fully use or extend it. With AI tools the gap is sharper: staff are already using them, often without knowing which data they must not share or how to check the output.

• Companies that want staff to use AI tools safely and well.
• Organisations with an in-house development team moving into a new area, such as building applications on language models.
• Internal teams about to take over a system built by us or another vendor.
• Companies that need a developer or technical lead alongside their team for a period.
• Engineering teams improving code quality, testing and release habits.

• 01

  AI for non-technical staff

  What the tools do well and badly, which data must stay out, how to verify output, safe everyday use.

• 02

  AI for managers

  Assessing opportunities, risk and cost, choosing projects and setting usage principles.

• 03

  Building with language models, for developers

  Model APIs, retrieval-augmented generation, tool-using agents, evaluation sets and cost tracking.

• 04

  Modern web development

  TypeScript, React and Next.js, NestJS and PostgreSQL.

• 05

  Engineering practices

  Code review, automated testing, automated deployment and documentation.

• 06

  Handover training

  The architecture, set-up and maintenance of a system we built for you.

• 01

  Developer support

  Contribution for a set period, working to your team's plan and tools.

• 02

  Code review

  Regular review of your team's code, with reasoned recommendations.

• 03

  Mentoring and pairing

  Knowledge transfer by working alongside less experienced developers.

• 04

  Interim technical leadership

  Help with architecture decisions and team practices while you have no technical lead.

You set the priorities. Code is written in your repository, under your review rules.

• 01

  Needs analysis

  Participants' level, goals and tools.

• 02

  A tailored curriculum

  Using examples from your own processes and data where possible.

• 03

  Hands-on workshops

  Short explanations, lots of practice.

• 04

  Materials and exercises

  That remain useful afterwards.

• 05

  A follow-up session

  For questions that come up in practice.

• 06

  For team support

  A written working agreement, regular progress notes and review reports.

1. 01

   Needs analysis

   Who needs to learn what, and why.

2. 02

   Curriculum proposal

   Content and format for your approval.

3. 03

   Preparation

   Examples and exercises adapted to your work.

4. 04

   Delivery

   Online or in person, as a single session or a programme.

5. 05

   Follow-up

   Answers to questions from practice, and extra sessions if useful.

What we teach comes from building and running our own products. In BeinStory we connected AI-assisted conversation to a content model, and we run the product on the web, iOS and Android. With Kentsel Dönüşüm AI we launched an assistant that answers property owners' regulatory questions. The practical challenges of working with language models, such as measuring answer quality and keeping running costs in check, are ones we deal with on these products. Both are in our portfolio.

• 01

  Training

  Per session or day, by number of groups.

• 02

  Team support

  Monthly or day-based.

Cost depends on how far the curriculum is tailored, the number of participants and groups, whether materials are built on your data, and travel and accommodation for in-person sessions.

After a short call about your team and goals, we send a written, itemised quote.