Services
Four lines of work, one engineering core.
Data pipelines, model deployment and API delivery underpin all of it. What changes is where the system runs and who it answers to.
01
Private AI deployments
One company. One AI. Running on your own servers.
Most organisations cannot send their data to a third-party AI service. Their regulator will not allow it, their board will not approve it, or their clients would not forgive it. So we build the AI inside the building instead — trained and grounded on your own policies, contracts, records and history, deployed on infrastructure you control.
- Answers staff questions from internal documents, with citations
- Drafts, summarises and checks work against internal policy
- Handles customer conversations on your own channels
- Reads and extracts from forms, reports and scanned records
- Connects to the systems you already run
01
Custom software development
Web and mobile software built to order, around the way you work.
Most off-the-shelf software asks you to change the way you work. We build the other way round: the software changes to fit you. A job runs from requirements to production under one roof — discovery, design, build, testing and launch — so there is no hand-off between vendors and no gap where things get lost.
We build web applications, mobile apps and internal tools, and we connect them to the systems you already run: M-Pesa, WhatsApp, existing databases and third-party APIs. When it is live, we stay around for maintenance, fixes and the next version.
- Requirements to production under one roof — discovery, build, testing and launch
- Web applications, mobile apps and internal tools
- Integrations with M-Pesa, WhatsApp and the systems you already run
- Maintenance and support after launch
02
Geospatial intelligence
Satellite imagery in. Decisions about the ground out.
We ingest near-real-time satellite imagery, engineer the training datasets ourselves, run segmentation models, locate what they find and track it across time. The output is not a heatmap — it is a place, a date and a change you can send an inspector to.
- Mining activity, including unlicensed sites
- Environmental disturbance and land degradation
- Change detection across time series
- Infrastructure and urban development
- Agricultural land use
03
Payments infrastructure
Where African businesses already are: WhatsApp, settled over M-Pesa.
We hold live production M-Pesa Daraja credentials and operate real disbursement rails — not sandbox integrations. Collections and payouts without asking anyone to install an app, own a card, or visit a portal.
- Collections and B2C disbursements over M-Pesa Daraja
- WhatsApp-native payment flows
- Merchant APIs and a developer console
- Reconciliation and statement generation
04
Applied AI products
Support, reception, retrieval and learning — already in production.
Every private deployment we ship stands on components we have already taken to production. You are not paying us to discover the problem for the first time.
- Retrieval over your own document set
- AI customer support with human handoff
- Front-office and reception automation
- Course and training content generation
06
WhatsApp and channel automation
Your business, reachable where your customers already are.
Your customers already live on WhatsApp. Channel automation puts your business there too — answering questions, taking orders, sending reminders and handling support without a person watching the phone all day.
We handle the WhatsApp Business API onboarding, build the flows, and connect them to your stock, bookings or ticketing systems. Conversations that need a human are handed off cleanly, so automation never becomes a dead end.
- WhatsApp Business API onboarding and setup
- Chatbots and automated flows for enquiries and support
- Broadcasts, reminders and transactional notifications
- Clean handoff to a human agent when a conversation needs one
08
AI readiness and staff training
Get the team and the groundwork ready before the AI goes in.
AI tools only earn their keep when the people and the data behind them are ready. We start with an assessment of your data, your workflows and your team's appetite for change, then train staff on the tools and put the governance around them.
Workshops are hands-on and use your own documents and systems, not generic examples. The goal is a team that uses AI daily and knows where it is safe to — and where it is not.
- AI readiness assessments and data audits
- Hands-on staff workshops using your own systems
- Policy and governance guidance
- Follow-up training on the systems we build