NeuraFort Labs

Applied AI and engineering for businesses that need it to work.

We deploy, integrate, secure and govern the systems your operations run on. On Neura AI or your existing stack, with evidence at every milestone.

What Labs does

Three practices, one delivery backbone.

AI adoption and integration.

Scoping the use case, connecting data sources, deploying Neura AI or a custom solution, and training the people who will use it.

Outcome: a working AI capability in production, not a pilot deck.

Cybersecurity assessment and remediation.

Vulnerability assessment, configuration review, remediation planning and verification, documented so auditors and leadership can follow it.

Outcome: a prioritised remediation plan and evidence that it was executed.

Delivery governance.

Operating cadence, reporting standards, quality gates and handover packs for technology programmes, whether we build them or you do.

Outcome: programmes that report clearly and can be handed over without us.

The NeuraFort delivery method

Evidence-first, week by week.

  1. Assess.

    A scoped assessment with a written findings pack and a recommended next step. Fixed price, fixed timebox.

  2. Plan.

    Milestones with owners, risks and controls agreed up front. You see the whole programme before it starts.

  3. Deliver.

    Weekly operating cadence, quality gates at each milestone, and an evidence pack for every decision.

  4. Hand over.

    Documentation, runbooks and reporting templates, so the work keeps running after we leave.

Unified delivery model

One coordinated model across Products, Labs, and Studio delivery lanes.

Lane-specific execution

Each lane is configured for its domain while sharing one reporting and governance backbone.

Evidence-first reporting

Evidence packs, ownership notes, and weekly reporting keep decisions transparent.

Risk and governance controls

Risk, compliance, and operating controls are embedded into every milestone.

Weekly operating cadence

Documentation, templates, and delivery rituals keep work transparent and repeatable.

Handover-ready documentation

Handover packs, reporting standards, and evidence trails support long-term scale.

Who it's for

Built for operators.

Labs works best with teams that own an outcome: an operations lead who needs AI in the workflow this quarter, a CTO who needs a security posture they can show the board, a programme owner who needs delivery to be visible and repeatable. We are sector-agnostic and deepest in professional services.

Credentials

Who leads the work.

Temiloluwa Odetayo

Temiloluwa Odetayo

Co-founder & CEO

Technology and cybersecurity specialist (CISA, CEH), with clients across Europe, the US and Africa.

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Theophilus Fakiyesi

Theophilus Fakiyesi

Co-founder & CTO

Software engineer and technology consultant, with clients across Europe, the US and Africa.

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Packages

Start with a scoped engagement.

AI Readiness Assessment

Two weeks

Data, workflow and security review, plus a deployment plan for Neura AI or an alternative.

Security Assessment

Two to three weeks

Vulnerability and configuration assessment with a remediation roadmap.

Pilot Deployment

Six to eight weeks

One use case, in production, with governance and handover included.

Ready to move with structure?