Services
Let us take your technology to the next level.
Strategy and roadmaps through to systems designed, built and operated as one.
Capabilities
What we do
Full-cycle engineering, one delivery team.
Our approach
How we deliver
Best-practice process and development methodology, applied methodically.
- 01
Planning
We collect the relevant information from you and your stakeholders, including the constraints you have not written down.
- 02
Defining
We document the software needs, agree acceptance criteria, and write down what is out of scope.
- 03
Designing
System and interface documents are prepared against the specification: architecture, data model and stack.
- 04
Building
We implement in short cycles, with a working increment and a visible demonstration at the end of each.
- 05
Testing
We evaluate quality to find and fix defects: automated where possible, exploratory where judgement matters more.
- 06
Deployment
Release runs through an automated pipeline, checked for deployment issues, with a rehearsed rollback.
- 07
Maintenance
We keep the system current, secure and monitored, so you hear about problems from us first.
Ways to engage
Three models, matched to how much certainty you have about the problem.
Assessment
A short, fixed-scope answer: is this feasible, what will it cost, where is the risk?
Fixed-scope delivery
For well-defined builds. Outcomes, timeline and price agreed up front.
Dedicated team
An embedded, cross-functional team that scales your capacity and stays with the product.
Why Fineteklabs
Why choose Fineteklabs
Adaptive to change
We plan in short cycles, so your roadmap absorbs new information.
Deep, dedicated expertise
Solution architecture through delivery, including rescuing stalled projects.
Relentless collaboration
You work directly with the engineers building your system.
Compounding quality
A high bar on testing, security and documentation, so change gets cheaper.
Questions
Frequently asked
Is an offline model as good as a hosted one?
Not for everything, and we will say so. For extraction, classification, summarisation and retrieval over your own documents, a well-tuned smaller model is often indistinguishable in practice, and it never sends your data anywhere.
What hardware does it need?
It depends on the model and the volume. Some workloads run on a single workstation-class machine; larger ones need a GPU server. We size it before you buy anything.
Can it be genuinely air-gapped?
Yes. It can be installed and updated with no outbound network path at all, including offline model and security updates delivered physically.
How long does deployment take?
Typically a few weeks for a standard deployment, longer if the fine-tuning corpus needs work.
Can you work with our team?
Yes: leading delivery, embedded, or on a defined slice.
What happens at the end?
You get the code, infrastructure, documentation and runbooks.
Let’s talk
Let us design it as one system.
Tell us what you are trying to achieve. You will speak to an engineer, not a call centre.
Monday to Friday, 08:00 to 18:00 East Africa Time (GMT+3). Urgent support by arrangement.