LeanCare Health & Wellness
LiveHealthcare — Jacksonville, Florida
Website and digital presence for a patient-centred family medicine practice, covering primary care, telehealth, behavioural health and weight management.
Nairobi · Building for East Africa and beyond
We build the systems a business runs on.
ERP, point of sale, stock control, hospital and claims platforms — built to your operation rather than configured from a template, and deployed into live use. Every one of them is AI-native, and connects to agentic AI systems we build alongside them.
What we do
Four practices. One team that builds and deploys all of them.
AI-native by design
Most software has AI added later. Ours is built for it.
AI-native is a claim about architecture, so here is what it means in practice. The data model, the event stream and the permission system are designed so an agent can read the operation and act on it safely — with a record of what it did and the authority to do only that.
Then we build the agents. That is the difference between a vendor who sells you an ERP and leaves the AI question to somebody else, and one team that ships the operational system and the intelligence running on it.
- Business systems
- Agents watch stock and cash movement continuously and raise the exception the day it appears, instead of waiting for someone to run a report.
- Sector platforms
- Agents handle intake and triage — reading what arrives, classifying it, and escalating the cases that need a person.
- Analytics engineering
- Agents query the graph in plain language, so asking how two entities connect does not require someone who writes traversals.
- Conversational AI
- This is the customer-facing half of the agent layer: the same tools an internal agent uses, exposed to the person asking.
Where these run
Sectors we are already in production in.
Not a list of markets we would like to enter. These are operations running on systems we built. Anywhere a business tracks stock, staff, patients, claims or customers the same foundations apply — so if your sector is not named here, the answer is still probably yes.
- Imports, wholesale and retail
- Landed cost, multi-branch stock, and margin that still holds when the currency moves.
- Business systemsAnalytics engineeringConversational AI
- Manufacturing
- Production, materials and finished-goods stock tied to the same ledger as finance.
- Business systemsAnalytics engineeringConversational AI
- Hospitality
- Property management, recipe-level stock control, and the cost of a cover, nightly.
- Business systemsAnalytics engineeringConversational AI
- Healthcare
- One patient record across intake, wards, pharmacy and billing, with the audit trail intact.
- Sector platformsAnalytics engineeringConversational AI
- Insurance
- Claims intake, adjudication and settlement, with fraud surfaced by the network it hides in.
- Sector platformsAnalytics engineeringConversational AI
- NGOs and development
- Disbursement traceable to purpose, and beneficiary data checked against duplication.
- Sector platformsAnalytics engineeringConversational AI
Selected work
Systems in service.
A sample. Most of what we build runs inside client operations and is not ours to show.
HodariPMS
Rollout August 2026Hospitality — Kenya
A property and venue management system for hotels, safari camps, lodges and event venues, with M-Pesa payments and KRA eTIMS fiscalisation built in.
How we engage
Three stages, in this order.
Understand
We start with the problem you actually have, not the technology we would enjoy building. That usually means sitting with the people doing the work and reading the data before proposing anything.
Build
Small releases you can see and correct, rather than a long silence followed by a reveal. You review working software throughout, not slide decks about working software.
Deploy and hand over
Into live operations, with documentation, a team that knows how the system behaves, and a clear account of its limits. The goal is a system that runs without us in the room.
Tell us what is not working.
Most useful first conversations start with a problem rather than a brief. Describe yours and we will tell you plainly whether this is work we should take on.