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    Scalexa
    AI Engineering & Strategic Advisory

    Production AI for High-Stakes Business Problems.

    We design, build and operate AI systems that move beyond demos. Bring 25+ years of engineering experience to your hardest AI problem — for teams across the US, the UK and Europe — with standards shaped by work for Mozilla, Walmart, Porsche and Fortune 500 organisations.

    Explore Our Services
    500+
    Projects Delivered
    25+
    Years Experience
    Why Choose Scalexa

    AI Advice Grounded in Delivery

    We combine AI strategy with the engineering discipline required to make it work in production. No theatre, no generic roadmap and no model choice without evidence.

    25+ Years Experience

    25+ years of engineering experience applied to production AI decisions.

    Rapid Time-to-Value

    Validate the highest-risk assumptions early, then invest in what survives real evaluation.

    Direct Communication

    Clear technical decisions, direct answers and visible progress throughout the engagement.

    Production-Ready AI

    Evaluation, monitoring, guardrails and cost controls are designed in from the start.

    Measured Outcomes

    Accuracy, latency, operating cost and business value are made explicit before launch.

    Partnership Approach

    Your organisation retains the code, documentation and knowledge needed to own the system.

    Our Process

    From Concept to Production

    A proven methodology refined over hundreds of successful projects.

    Free 30-minute call

    A free 30-minute call where we talk through your goals and constraints, followed by a scoped proposal.

    • Goals and constraints
    • Scoped proposal
    Timeline: 30 minutes

    Prototype & Evaluation

    We test the approach against representative data and define the evaluation needed to justify production investment.

    • Working prototype
    • Evaluation results
    • Production recommendation
    Timeline: 2-6 weeks

    Production & Scale

    The validated system is integrated, deployed and instrumented for reliable production use.

    • Production deployment
    • Quality and cost monitoring
    • Operational documentation
    Timeline: 2-8 weeks

    Operate & Improve

    We monitor quality, drift, latency and cost, then improve the system using production evidence.

    • Model and data monitoring
    • Evaluation-led improvements
    • Regular performance reviews
    Timeline: Ongoing
    Testimonials

    What Clients Say

    "Hiring Scalexa was one of the best decisions we made! They have built us a fully scalable, robust architecture and steered us through every step of the complex process. Not only have they delivered a vastly improved and stable hosting architecture, they also massively upgraded our security and with it my peace of mind! Scalexa has encyclopaedic knowledge and understanding of Technology; they are strong communicators and, most importantly, deliver!"

    MF
    Michael Free
    Founder, BeIQ

    "I would like to express my sincerest gratitude to Scalexa for their outstanding work and tireless efforts to ensure that our AWS solutions were implemented successfully. I would highly recommend them to anyone in need of expert cloud infrastructure and look forward to working with them again in the future."

    DE
    Daniel Eskandar
    Founder, Dartera

    "Our experience with Gareth was great - he onboarded onto a project quickly and was able to help us. Looking forward to working with him more in the future."

    SS
    Sarah Swayze
    Engineering Director, Mozilla Foundation

    "Working with Scalexa has been amazing, they are knowledgeable and deliver on their promises."

    JS
    Jake Savage
    Founder, NavGen.io
    View Case Study

    "Extremely competent - surpassed our expectations and met all the deadlines."

    AP
    Alexander Pittner
    Founder, Prepape

    "My project manager collaborated closely with Scalexa and reported that the experience was pleasant and productive."

    AS
    Andrew Simon
    Founder, Klever Thoughts Inc.

    "Excellent team with great AWS knowledge."

    CA
    Charles Astwood
    Chief Technology Officer, London Medical Laboratory

    "Provided us a quick and professional fix to our problem. Well versed in AWS and easy to work with. Would definitely hire him again."

    WM
    William Marshall
    President, Smart Grid Solutions

    "I've worked with Scalexa for over 5 years. They provide a great service. Would recommend."

    SH
    Stephen Hall
    Founder, Farmland Market

    "The Scalexa team is incredibly knowledgeable with years of experience. They instantly brought huge amounts of value to the table as we architected software solutions for our clients. Professional and agreeable, they were able to distil high-level business ideas into precise, technical specifications."

    MD
    Michael Daniel
    Founder, Handyman Interactive

    "Extremely knowledgeable on high-level architecture, and deep technical DB/infrastructure. We worked specifically with AWS architectures, and their broad experience across HA/HL systems came in handy. Highly recommend."

    MA
    Matt Allan
    Founder, NayaOne

    "The Scalexa team was fantastic, and communicated clearly throughout in what was a high-pressure environment with a strict deadline. They went above and beyond at all opportunities."

    NW
    Nick Watson
    Founder, Legal Legends

    "Scalexa not only brought bleeding-edge, expert-level skills in server administration to our team but so much more—leadership, project management, business development. We gave them a massive task and they met every challenge. I look forward to continuing to work with them."

    KN
    Kyle Newton
    Director, MyNeuroGym

    "Scalexa performed an excellent job in their audit and were quick and well-spoken. Highly worth their price and expertise."

    SH
    Shafee Hassan
    CTO, QOVES Studio
    View Case Study

    "It was a pleasure to work with Scalexa. They are highly skilled."

    MT
    Marius Terblanche
    Founder and CEO, ideation.AI Ltd

    "Scalexa's team quickly identified the root causes of our MongoDB issues and implemented a robust solution. Their expertise in database infrastructure and the hands-on training they provided have been invaluable for our team."

    AM
    Anadi Misra
    Engineering Lead, NimbleWork
    FAQ

    Frequently Asked Questions

    Common questions about our technology services, process, and expertise.

    We provide AI consultancy across strategy, generative AI and LLM applications, AI agents and automation, machine learning, computer vision, MLOps and AI governance. We take work from use-case definition and data readiness through evaluation, production deployment and operation.

    We work across finance, healthcare, retail, manufacturing, technology, and media industries. Our solutions are adaptable and customised to meet specific industry requirements, compliance standards, and business objectives.

    We are model-agnostic and select the tools that fit the evidence. Our AI work commonly uses Python, PyTorch and TensorFlow alongside commercial and open large language models, vector search, data pipelines, evaluation frameworks and production monitoring.

    Security is built into everything we do. We build to your data-protection and security requirements, with encryption, access controls, data anonymisation and secure development practices throughout every project.

    Timeline varies by complexity and scope. A proof of concept typically takes 2-4 weeks. Full production implementations range from 2-6 months depending on requirements. We work in agile sprints with regular deliverables so you see progress continuously.

    Absolutely. We specialise in integrating AI with existing workflows, databases and applications, with careful testing to minimise disruption to operations.

    Three things: 25+ years of engineering experience, independent judgement on where AI is genuinely useful, and a focus on production systems with evaluation, monitoring and clear ownership — not strategy decks or demos alone.

    We offer flexible engagement models: fixed-price work for a well-defined scope and weekly billing on actual hours for evolving requirements. We recommend the best fit during the initial call.
    Get Started

    Ready to Get Started?

    Book a free 30-minute call with us to identify quick wins and show you what's possible.

    View Our Work