Enterprise technology company · RC 8918433

Clean data, real governance — your people and AI working as one system.

We don't just ship software. We build the systems large organisations run on — where data is trustworthy, every action is governed and auditable, and your people and applied AI work together. Proven in production across agriculture, government and education.

7 disciplines 7 sectors live AWS·Azure·GCP governed by design
~/datadruid
$ status
all systems operational
# clean data · governed · people + AI as one
7 disciplines loaded
sectors: agriculture · government · education
$
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
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

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Your consultation analyst — a few questions, then we scope it.