We solve hard operational problems with AI

001 / 006

We consult on costly operational gaps, build governed private AI and software systems, and prove the result.

Bring us the bottleneckOur products

Nairobi roots. Global ambition. Guiding operations-heavy companies forward with evidence before engineering.

We build
governed
private AI
systems.

Consulting · Services · Software for the gaps no vendor owns.

002 / 006

Explore
what we offer

Use the level of help the problem actually needs: a diagnosis and a plan, a private system built and supported, or reusable software once the need repeats. Client systems and data remain private.

All services
01

Operational diagnosis

We map where the money or time is actually leaking: the handoff, approval or reconciliation nobody owns. No theatre, no industry-average ROI.

You getA costed problem statement and a go / no-go recommendation, before any engineering starts.

02

Workflow & handoff automation

We rebuild the specific broken handoff, such as WhatsApp to ERP, quote to approval or order to invoice, as a governed workflow inside the tools you already use.

You getThe slow step runs in minutes, not days, without ripping out your existing systems.

03

Private AI agent deployment

Agents work inside explicit permissions and confidence thresholds. Anything the model is unsure of is held for a person instead of guessed.

You getProduction AI that tells you which outputs to check, instead of failing silently.

003 / 006

Selected clients

Teams across solar, logistics, print, timber and glass work with LamuLabs.

  • Solar & energyHelios AgroSolSolar power, solar water heating, heat pumps and commercial hot water.
  • LogisticsSpeedex LogisticsLogistics operations.
  • Print & displayLigentPrint, display and graphics.
  • TimberTerra TimberTimber supply.
  • Glass & aluminiumAluglass AfricaBespoke glass and aluminium.

004 / 006

How we engage

Start with a diagnosis, build what matters, support what works. No lock-in: what we build for you is yours.

first step

Diagnose

Scoped to the problem

  • Workflow and evidence review
  • Costed problem statement
  • Go / no-go recommendation
build

Build

Scoped to the outcome

  • Private AI and software systems
  • Integration with your existing tools
  • Human review and outcome gates
ongoing

Support

On request

  • Measurement of the deployed system
  • Support and iteration
  • Reusable software where needs repeat
Bring us the bottleneck

005 / 006

The principles

Most AI systems do not fail in the demo. They fail in production. Three rules keep ours honest.

Evidence

before engineering

The problem must show up in your numbers and repeat in the real workflow. Every run is on the record: what ran, when, what it produced and what it cost.

Human review

where judgment matters

Every value carries a confidence score. Anything below the threshold you set is held for a person instead of passed downstream.

Outcome gates

before success is claimed

Completing a task is not the same as achieving the outcome. We would rather show you the cases that failed than report hours saved and hope nobody checks.

006 / 006

Connect

Describe the bottleneck: what happens today, where it breaks, and what a meaningful result would change. If it is not worth building, we will say so.

Prefer email?

lamulabs7@gmail.com