Solutions
The foundations every intelligent system stands on: governed data on infrastructure that suits the region.
01Overview
Every AI project eventually becomes a data project. The model is ready, but the customer table is duplicated in three systems, the branch data arrives as monthly spreadsheets and nobody can say which number is right. We start there. Our engineers inventory the sources, trace how data flows, fix the critical fields and build the pipelines that keep them fixed.
We then put the data on infrastructure that suits your risk, budget and location. That may be a public cloud region, a private cloud, an in-country data centre run by a local partner, or a mix. We design for resilience in places where power and links fail, for cost in places where foreign currency is scarce and for data residency where the law or the customer requires it.
Governance is part of the build, not a document at the end. We put lineage, quality checks, access control and retention rules into the pipelines themselves. When a regulator, a board or a partner asks where a number came from, the answer is a query, not a project.
02
A typical estate includes a core system that is ten years old, several departmental tools, vendor portals and a lot of files on shared drives. We do not ask you to replace any of it first. We connect to it where it is, take what is needed and give each source an owner.
The new layer is built in stages. The first stage serves one real use, such as risk reporting or a supply forecast. Later stages add sources and users. Every stage leaves the estate easier to run than before.
03What you get
We connect core systems, ERPs, mobile money platforms, partner feeds, files and scanned documents into one layer. We handle the awkward cases: batch exports, flat files, APIs without documentation and systems that cannot be queried at peak hours. Each pipeline is tested, monitored and documented.
Nothing intelligent happens until the data arrives.
We design the storage and processing layers for analytics and machine learning, using open formats so you are not tied to one engine. Raw, cleaned and curated zones are separated, and costs are tied to usage. We size the design to your volumes, not to a vendor reference.
The right size saves more than any discount.
We migrate and re-architect workloads for security, resilience and cost. That can mean lifting a system as it is, rebuilding it as services or retiring it. We write a plan with sequencing, rollback and a cost view before moving anything.
A migration is a risk project before it is a technology project.
We put in place the catalogue, lineage, quality rules, ownership and access policies. Sensitive fields are classified and protected. Policy is expressed in code so it is applied the same way in every pipeline and every query.
Boards and regulators ask where numbers come from.
We map where each class of data may be stored and processed and design the architecture to match. Options include region selection, in-country partner facilities, encryption with keys held by you and controls on cross-border flows. Which laws apply depends on your sector and countries, so confirm with counsel.
Location decisions are cheap on day one and expensive later.
We tag, budget and monitor cloud spend per team and per workload. We design for failure with backups, tested restores and sensible redundancy for sites with unreliable power. Reports show spend against value, so reductions come from design rather than panic.
Currency swings make surprise bills especially painful.
Free 30 minutes with an engineer.
04African sectors
Situation
Customer data sits in a core banking system, a card platform, a CRM and several branch spreadsheets, and regulatory reports take weeks.
What it does
We build a governed layer with lineage, so reports are generated from the same cleaned data and every figure can be traced.
Human decides
The head of data owns definitions. Compliance decides what is reported and how.
05Boltcliq platform
Boltcliq product
Provides the private data and cloud platform, on Postgres on AWS first, portable to other regions and providers.
Data stays under your control.
Boltcliq product
Adds the shared model and governed metrics on top of the integrated data.
Cleaned data gains business meaning.
Boltcliq product
Controls who and what can reach each dataset, for people, services and agents.
Access policy is enforced in one place.
06
Does
Does not
07FAQ
Experience you can lean on
Immersed in technology and across many different verticals, so the people on your project have done this before.
Data & Cloud
Tell us the problem. An engineer, not a salesperson, answers.
The foundations every intelligent system stands on: governed data on infrastructure that suits the region.
