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Novel Technologies
Services

Eight services, three practices, one standard

Consulting and applied AI lead, with cloud, software and data delivery behind them. The third practice trains the engineers who staff that work. The engineering standard does not change between them.

For enterprises
Practice 1 of 3

Consulting & Talent

Senior advisory and vetted engineering capacity for organisations that need a clear technology direction and the people to execute it.

  • IT Consulting

    Technology strategy, architecture review and delivery assurance from senior practitioners who still build systems.

    • Technology assessment
    • Architecture and design review
    • Modernisation roadmap
    • Vendor and platform selection
    • +2 more
    Typical engagement
    4–16 weeks
    Team shape
    Principal + 1–3 specialists
    Engagement model
    Fixed-scope or retained
    Deliverable
    Decisions, not slideware
  • Workforce Solutions

    Vetted engineers, delivered as individual placements or complete teams — screened by engineers, not by keyword match.

    • Staff augmentation
    • Managed delivery teams
    • Contract-to-hire
    • Direct placement
    • +2 more
    Time to shortlist
    5–8 business days
    Screening
    Engineer-led, written assessment
    Models
    Contract, contract-to-hire, direct
    Replacement period
    30 days, no charge
For enterprises
Practice 2 of 3

AI, Data & Engineering

Delivery teams that modernise the platforms your business runs on — applied AI, data, custom software and cloud.

  • Data, AI & Analytics

    Data platforms, analytics and production AI systems — built on foundations trustworthy enough to make decisions from.

    • Data platform engineering
    • Pipeline development
    • Business intelligence
    • Machine learning in production
    • +2 more
    Starting point
    Data quality, always
    Evaluation
    Built before the feature
    Governance
    Lineage and access by default
    Deployment
    Production, not pilot
  • Enterprise Software Development

    Custom platforms and applications built to be maintained — tested, documented and handed over to your team.

    • Custom business applications
    • Platform and API development
    • System integration
    • Web and mobile front ends
    • +2 more
    Cadence
    Working software every 2 weeks
    Ownership
    You own the code outright
    Testing
    Automated, in CI, from week one
    Accessibility
    WCAG 2.2 AA baseline
  • Cloud & Infrastructure

    Cloud migration, platform engineering and cost optimisation — infrastructure that is reproducible, observable and affordable.

    • Migration assessment
    • Cloud migration
    • Platform engineering
    • Infrastructure as code
    • +2 more
    Platforms
    AWS, Azure, GCP
    Approach
    Wave-based migration
    Everything
    Infrastructure as code
    Cost modelling
    Before and after, per workload
  • Digital Transformation

    Modernising the processes and platforms a business runs on — sequenced so value arrives early and the organisation can absorb it.

    • Process digitisation
    • Legacy application modernisation
    • Workflow automation
    • Customer experience platforms
    • +2 more
    First value
    Within 90 days
    Programme shape
    Sequenced slices
    Team
    Blended with your staff
    Handover
    Your team operates it
For individuals
Practice 3 of 3

Training

Instructor-led programmes for people moving into engineering roles, built and taught by the same engineers who deliver our client work — which is what keeps the curriculum honest.

  • IT Training

    Instructor-led training in the engineering skills employers hire for, taught by engineers still building the systems it draws from.

    • Role-aligned tracks
    • Live instruction, not recordings
    • Code review from working engineers
    • The real toolchain, not a sandbox
    • +2 more
    Format
    Live online, evenings & weekends
    Duration
    16–22 weeks by track
    Cohort size
    Capped at 18
    Tracks
    Six, each mapped to a role
  • AI & GenAI Training

    Applied training in machine learning and generative AI engineering — building and evaluating real systems, not prompt tips.

    • Foundations that hold up
    • Retrieval-augmented generation
    • Evaluation and regression testing
    • Agents and tool use
    • +2 more
    Format
    Live online, evenings & weekends
    Duration
    14 weeks
    Prerequisite
    Working Python or equivalent
    Cohort size
    Capped at 14

Start with what you need built

Some conversations start with a system that needs modernising. Some start with a career. Both begin the same way — with what you are trying to do.

For enterprises

Modernise what your business runs on

Consulting and applied AI, with cloud, software and data delivery led by practitioners who still build the systems they advise on.

Talk to our team

For individuals

Build a career in technology

Instructor-led training in the skills employers are hiring for, taught by the engineers who deliver our client work.

Explore training