We help companies build and secure AI systems that reach production
We do AI strategy and fractional AI CTO work, LLM apps and agents, AI knowledge bases and vector search, AI security, Salesforce, event technology and AI SEO. Our teams are small and senior, and we fix the scope wherever the work allows it.
Every engagement starts with a decision about what is worth building. Then we build it and keep it running, with security work inside the build. Pick the service closest to your problem.
AI Strategy & Fractional CTO
We select use cases, write the roadmap and ROI model, then provide senior AI leadership on a retainer while you hire. See Fractional AI CTO.
We implement Salesforce, write Apex and LWC, build integrations and run managed services, with Agentforce and Einstein where AI inside the CRM pays off.
We do technical SEO, structured data and generative engine optimisation so that people and AI assistants find you, plus marketing automation that turns visits into enquiries.
The shape is the same for a two-week assessment and a year-long build. Each step has a written output you keep, whatever you decide next.
Assess
We review your systems, data, risks and candidate use cases and rank them by value and feasibility. You get a roadmap you can act on.
Prove
We build a thin working slice on real data with an evaluation set, so the go or no-go decision rests on numbers rather than a demo.
Build
We engineer the system for production, covering retrieval, agents, integrations and UI, with evals wired into the pipeline from the first sprint.
Secure
We write the threat model, defend against prompt injection, run red teaming and prepare the governance paperwork your auditors will ask for.
Operate
We monitor the system, control cost, update models and give you a named engineer who knows it. You choose between hand-over and a managed service.
The timelines are illustrative. A pilot stalls when nothing was set up to prove, secure or own it. Our engagement puts those steps on the critical path.
Most AI projects do not fail loudly. They stall after a promising demo because nobody set up the evals, the security review or the owner. We put those on the critical path from day one.
Senior engineers, small teams
The people on the call are the people who build. There is no hand-off to a junior bench after the sales cycle.
Security-first
Threat modelling, prompt-injection defence and red teaming happen inside the build rather than in a separate audit at the end.
Measurable evals
Every system ships with an evaluation set and a dashboard, so you know when quality moves and why.
Your data stays yours
We work across Claude, GPT, Gemini and open-weight models, and deploy self-hosted or private systems when the data demands it.
Twenty years of shipping
We were founded in 2006 and have shipped 1500+ apps for 450+ clients. We know what production means: releases, support and upgrades.
Industries
Sector knowledge where it changes the answer
Regulation, data sensitivity and the shape of the work differ by sector. These pages show what we would build first, and what we would refuse to automate.
Eventify and ZekoHR are built, hosted and supported by the same engineers you would work with. These studies show how they are put together, which AI decisions held up, and what we would do differently.
Every Eventify feature went through a short written spec before code, was built in two-week sprints and was tested at a live event before we called it done. We run client work the same way.
You get a short call with a senior engineer rather than a sales queue. You leave with a straight answer: what is worth building, what it would take and what we would do first.
