Capability demonstrated in the work, not on a certificate.
Practitioner-led programmes built to your team's real stack and workflows: technical induction and lateral upskilling for engineers, and AI enablement for every business function. Measured against real work, not attendance.
Built around the stack. Measured against the job.
From fresher induction to lateral upskilling, programmes are built around the technologies, tools and delivery environment the team will actually work in.
Built to your exact stack
Trending, established or emerging technology - every programme is curated around your platforms, tools and workflows, not a fixed syllabus.
Practitioners, not lecturers
Training is led by people who have worked with the technologies they teach, with hands-on delivery taking priority over classroom instruction.
The delivery environment is simulated
Capstones run inside Agile pods with sprint planning, representative codebases, tickets and demos - mirroring the rhythm of real delivery.
Readiness is measured individually
Trainees are assessed through coding exercises, assignments and 40+ tracked competencies so gaps are visible before they reach live work.
Not a fixed technology catalogue.
When AI changes how a technical role works, the programme is built around that new workflow - using the tools, platforms and context the team actually works with.
Examples of AI-enabled technical domains in current KLS programmes.
The path to deployment
Curate
Exact stack + role
Simulate
Real delivery environment
Assess
Skills + competencies
Deploy
Ready for live work
Outcome
People move onto live client work with significantly less hand-holding.
The proof behind the programmes
- 40+
- competencies tracked per technical programme
- 18,000+
- training hours delivered
Common engagement scenarios
Fresher / pre-project induction
Get new engineers deploy-ready on your stack before they touch a live project.
Lateral upskilling for a new stack or tool
Move an experienced team onto a new framework or platform mid-project, fast.
Function-specific enterprise AI enablement
Make one business function AI-fluent inside their real workflows before a wider rollout.
What we're asked most
The training engagements teams most often bring to us.
- 01
Fresher / pre-project induction
Get new engineers deploy-ready on a specific stack before they touch a live project.
- 02
Lateral upskilling mid-project
Move an experienced team onto a new framework or tool as the project adopts it.
- 03
A pre-project bootcamp
Stand up a delivery pod that is productive from day one.
- 04
Past generic prompting
Get a team using AI grounded in their real work context, not generic prompts.
- 05
Enterprise Copilot / ChatGPT rollout
Pair enterprise AI access with real training, not just licences.
- 06
Function-specific AI fluency
Make one business function AI-fluent before a wider rollout.
Build capability around the work your teams actually do.
Tell us the roles, stack, workflows or business functions involved. We'll scope the programme around them.