We embed AI engineers directly into your team
Software is getting cheaper to build. That means everyone will build more of it — bespoke, tailored, built for exactly how your business works. You don't need another SaaS subscription. You need an engineer who understands your problem and ships the solution.
The era of off-the-shelf software is ending
AI has made software 10x cheaper to build. The result? Companies are replacing generic SaaS with custom tools built for exactly how they operate. Klarna replaced Salesforce and Workday with internal AI tools. This isn't a trend — it's the new default.
The Palantir model, democratised
Palantir pioneered Forward Deployed Engineers — senior engineers who embed at client sites and build bespoke solutions. It's now the fastest-growing role at OpenAI, Databricks, Scale AI, and Anduril. But until now, you had to be a government agency or Fortune 500 to get one. We bring that same model to startups and growth companies.
Why not just hire?
A senior AI engineer costs £120-180k/year — if you can even find one. And they'll spend their first 3 months ramping up. We bring battle-tested engineers who've shipped AI at Amazon, Samsung, and Schlumberger. They start building in week one, and you don't carry the overhead of a full-time hire.
Not consultants.
Builders.
Custom AI Agents & Workflows
Purpose-built AI agents that handle real business processes — customer support, lead qualification, document processing, data analysis. Not chatbot wrappers. Production systems that run autonomously and improve over time.
Bespoke Internal Tools
Replace the 6 SaaS tools your team duct-tapes together with one internal platform built for exactly how you work. CRMs, dashboards, reporting tools, inventory systems — designed around your workflow, not someone else's template.
AI Integration & Data Pipelines
Connect AI to your existing systems — your database, your CRM, your warehouse, your spreadsheets. We build the plumbing that makes AI useful in practice, not just in demos. ETL pipelines, API integrations, real-time data flows.
AI-Powered Product Features
Ship AI features inside your existing product. Recommendation engines, search, personalization, natural language interfaces, predictive analytics. We build the feature, integrate it, and make sure it works at scale.
Full-Stack Prototyping & MVPs
Validate ideas fast. We build working prototypes in days, not months. If you're exploring a new product, testing a market, or pitching investors — we ship the functional version, not a Figma file.
You have the business. We bring the AI engineering.
Startups with product, not AI
You have users, revenue, and product-market fit. But your engineering team doesn't have AI expertise — and hiring takes 6 months you don't have.
- Series A-C startups adding AI features
- Technical founders who need an AI co-pilot
- Product teams shipping AI-powered features
Companies replacing SaaS with bespoke
You're paying for 10 tools that each do 30% of what you need. You want one system built exactly for your workflow — and AI makes that possible now.
- Operations teams drowning in manual processes
- Companies outgrowing off-the-shelf tools
- Businesses with unique workflows no SaaS covers
Agencies & service businesses
Your clients want AI but you don't have engineers. White-label our FDEs to deliver AI solutions under your brand. We build, you own the relationship.
- Digital agencies adding AI to their offering
- Consultancies that need builders, not advisors
- System integrators expanding into AI
Enterprise innovation teams
Your procurement process takes 9 months. Your innovation backlog is 2 years long. We move at startup speed inside enterprise constraints.
- R&D teams exploring AI applications
- Digital transformation leads with real budgets
- CTOs who need execution, not strategy decks
From call to code in one week
Discovery Call
30-minute call. You tell us the problem. We tell you if we can solve it — and how. No sales deck, no "let us get back to you." Direct answers from the engineer who'll do the work.
Deep Dive Sprint
We embed with your team. Map your data, systems, and workflows. Identify the highest-impact opportunities. Deliver a concrete build plan with timelines — not a strategy document.
Build & Ship
We build production-ready software. Weekly demos. Direct Slack access. You see working software every week — not status updates. We ship like we're on your team, because we are.
Maintain & Evolve
AI systems need tuning as your business changes. We provide ongoing support, performance monitoring, and iterations. Your system gets better over time, not stale.
Not the same as hiring a freelancer
| Freelancer | Consulting Firm | Chater AI (FDE) | |
|---|---|---|---|
| Delivery | Code to spec | Strategy deck | Production software |
| Engagement | Task-by-task | Project phases | Embedded in your team |
| AI expertise | Varies wildly | Juniors with frameworks | Ex-FAANG AI engineers |
| Business context | Minimal | Surface level | Deep — we learn your business |
| Ownership | You own code | Licensed deliverables | You own everything |
| Speed | Depends on scope | 3-6 month engagements | Shipping in weeks |
| Post-delivery | Gone | Expensive change orders | Ongoing evolution |
What is a Forward Deployed Engineer?
A Forward Deployed Engineer (FDE) is a senior engineer who embeds directly into your team to build custom software. Unlike consultants who deliver slide decks, FDEs ship production code. The role was pioneered by Palantir and is now the fastest-growing engineering role at companies like OpenAI, Scale AI, and Databricks. We bring that model to you — without the $100M contract.
How is this different from a consulting firm or freelancer?
Consultants diagnose problems and leave you with a PDF. Freelancers build to spec and move on. FDEs embed in your team, understand your business deeply, and build solutions that compound over time. They operate like a senior member of your engineering team — except they bring AI expertise you don't have in-house.
What kind of companies is this for?
Startups that have a product but no AI team. Scale-ups that need bespoke internal tools. Enterprises that want AI implemented properly — not just a ChatGPT wrapper. Agencies that want to offer AI services without building an engineering team. If you have a real business problem that off-the-shelf software can't solve, this is for you.
What does an engagement look like?
We start with a 2-week discovery sprint to understand your business, data, and workflows. Then we embed an engineer who builds alongside your team — shipping real software, not prototypes. Typical engagements run 3-12 months. You own everything we build. You talk directly to the engineer doing the work.
How much does it cost?
We set clear success metrics upfront — revenue generated, time saved, costs reduced — and tie our pricing to the results we deliver. If the solution doesn't move the needle, you don't pay. We price generously for clients because this isn't a one-off transaction. When you see measurable ROI on the first project, you'll want us on the next one. That's the goal: a long-term partnership where both sides win.
What's the team's background?
Our founder spent 7+ years building production AI systems at Amazon (Studios), Samsung Research, and Schlumberger — generating millions in measurable value. We bring enterprise-grade engineering to companies that can't afford (or don't need) a full-time AI team. This isn't a side project — it's what we do.
Do you work remotely?
We prefer to work on-site with our clients — it's where the best results happen. Being in the room means faster feedback loops, deeper context, and higher-quality output. That said, remote is absolutely an option, and we're happy to travel to your location as needed. We work with teams globally.