Africa's data-intelligence partner

Your data already holds the answers.

We build on the data your institution already has — where it already lives — turning scattered records into registries, intelligence and decisions you can act on. Not a rip-and-replace: we find the value buried inside what you already own.

0 disciplines 0 sectors live cloud + on-prem governed by design
5 sectors · 7 disciplines · live
trusted by teams at
why we exist · mission

Most institutions are sitting on data they can't use. We meet that data where it lives, build the systems around it, and surface the value hiding inside — with governance, rigor, and foresight.

our approach · how we work

We don't replace your systems. We mine the value in them.

Most firms sell you a rebuild. We start with the data you already have — and turn it into intelligence, where it already lives.

01 database

Meet your data where it lives

We connect to the systems, registries and records you already run on — no migration project, no rip-and-replace.

02 build

Build the intelligence layer

Secure registries, pipelines, maps and governed AI that sit on top of your data — auditable by design, and yours to run.

03 insights

Surface the value

Reports, decisions and entirely new value mined from data you already own — the answers that were there all along.

0
Systems shipped
in production
0
Engineering disciplines
one data backbone
0
Institutions served
NPC · UNICEF · PPPL · Milsat
0
Sectors live
agriculture · gov · finance · more
how we build · principles

Governance and security, in the grain.

Not bolted on at the end. Every system is structured so the right thing is the easy thing — auditable by default, secure by design, and yours to run.

shield
Secure by designLeast-privilege access, encryption where it matters, audit logging of every change.
visibility
Auditable by defaultEvery answer traceable, every write proposed then approved — nothing in the dark.
hub
Built to integrateAPIs and middleware so new systems join your estate instead of fragmenting it.
policy.governed_query.py
# the AI proposes — a human approves — then it runs
def run(query, actor):
    plan = ai.propose(query)        # never writes directly
    audit.log(actor, plan, level="proposed")
    if not approvals.granted(plan):
        return Pending(plan)        # held for review
    result = db.execute(plan, scope=actor.rbac)
    return Signed(result)         # traceable, reversible
our work · proof

Systems we've shipped.

All work arrow_forward
monitoring Civic Data Intelligence

Stratum & VIAS

National civil-registration intelligence layer
verifiedNational Population Commission & UNICEF Nigeria
We took Nigeria's existing 11.4M-record birth registry — exactly where it lived — and built an intelligence layer on top of it, turning weeks of manual reporting into seconds without ever exposing a citizen's …
Secure data gatewayPrivacy by defaultPlain-language analyticsAutomated state reporting
Read case study →
how_to_reg Civic Registration

CBAS Nigeria

Offline-first community birth alerting
verifiedNational Population Commission & UNICEF Nigeria
An offline-first system that turns community volunteers into a live data source for births that the national registry was never reaching — closing the gap between a home birth in a remote ward and …
Offline-first mobileAutomatic location captureMap-based verificationField workforce visibility
Read case study →
agriculture AgTech

AgroVisus

Plantation intelligence & operations
verifiedPalm Plantation Project Limited (PPPL)
We turned an industrial palm-oil plantation's own land surveys and operational records into one live, tamper-proof picture — tens of thousands of acres of land, cash and labour, finally visible from a single screen.
Operations ERPInventory & procurement controlPayroll integrityLive estate mapping
Read case study →
shield AI Governance

Koine

Governance-first AI-to-database middleware
verifiedGovernment ministries & regulated enterprises
The safe pipe between the data an institution already holds and an AI model — so regulated bodies can finally mine their own databases with AI, without ever risking a leak or an unauthorised …
AI governanceRead-only by defaultHuman-approval workflowAutomatic PII redaction
Read case study →
groups Training Operations

Muster

Multi-tenant training operations & payments
verifiedNGOs & international development agencies
A multi-tenant platform that runs large training programmes end to end — from registration to paying thousands of field participants — with the accountability scattered spreadsheets could never give.
Multi-tenant SaaSAutomated allowance rulesBank verificationApproval controls
Read case study →
questions · faq

What buyers ask first.

01You were incorporated in 2025 — why trust a new company with enterprise systems?
Because we lead with proof and method, not promises. Data Druid Tech Services Limited is registered in Nigeria (RC 8918433), and we already have systems running in production across agriculture, government and education. We work to a written engagement method with security-by-design at its centre, and we put the standards, the stack and the method in front of you before you commit.
02What do you actually build?
The software and data systems organisations run on: data architecture and enterprise systems (ERP, CRM, SCM); custom web, mobile and desktop software; analytics and geospatial; cybersecurity and cloud on AWS, Azure and GCP; IT infrastructure and managed services; and consulting and training. Applied AI runs through these as a capability — never the headline.
03Which cloud platforms and technologies do you work with?
We deliver on AWS, Azure and Google Cloud — migrations, serverless, containerisation and DevOps CI/CD — and build interoperability through APIs and middleware so new systems join your existing estate rather than fragmenting it.
04How does an engagement begin, and what does it cost?
It begins with a consultation. We discuss your operations, the decision the system must support and the threat surface, then return a written scope and delivery plan. Pricing follows scope — every engagement is bespoke, so we quote against the plan. Book a consultation, or request a capability brief if you want detail first.
05How do you handle security and data protection?
By design, from day one. The baseline is non-negotiable: least-privilege access, encryption where it matters, parameterised queries, audit logging of every change, and dependency scanning. Beyond that we run vulnerability assessments, penetration testing, audits and data-protection consulting scaled to the risk you carry.
06Will our team be able to run the system after hand-over?
Yes — that's the goal of the hand-over stage. We deliver documentation and training so the capability stays in-house, plus training and certification. Where you want ongoing cover, we provide managed services, monitoring and helpdesk under clear SLAs.
$ ./start

Let's scope your project.

Tell us what you're trying to build or fix. We'll map it to the right disciplines and reply within one business day.

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