AI that does the work. Not AI that does a demo.
The engineering firm companies bring in to make AI actually pay — end to end. Tech products, AI agents, website and platform rebuilds, and the integrations between the tools you already run. Then we operate the lot in production.
Where every engagement starts
You probably came here with one of these.
Every one is a sentence a client has actually said to us. If two sound like your business, the free diagnostic tells you what they cost and which to fix first.
“Enquiries arrive on WhatsApp at all hours and we answer them when we can.”
The message that lands at 9pm is answered tomorrow, by which time they have asked someone else. Nobody counts these, because they never became enquiries.
What we do about itVoice“We miss calls all day and I could not tell you how many.”
The most expensive number in the business and the one nobody measures. An unanswered call never appears in a report — it appears in a competitor’s revenue.
What we do about itSupport“My best people spend their day answering the same twenty questions.”
Senior time going into answers that are already written down somewhere, and a queue that gets longer every time the business grows.
What we do about itBack office“Every time volume goes up, headcount goes up with it.”
A cost base that scales linearly with revenue when it does not have to, and a margin that never improves however much you sell.
What we do about itPlatform“Our systems do not talk to each other, so people are the integration.”
You are paying salaries to move data between screens, and buying the error rate that comes with it.
What we do about itStrategy“We have bought AI tools and cannot show what they returned.”
Licence spend with single-digit adoption, and a board question nobody in the room can answer.
What we do about itOperate“We built something with AI and now nobody owns it.”
Accuracy drifting, running costs creeping, and a model deprecation nobody is watching for — until a customer finds it first.
What we do about itAI search“Buyers ask ChatGPT about our category and we have no idea what it says.”
Consideration happening somewhere no analytics can see. It does not show up as a decline — it shows up as pipeline that never existed.
What we do about itNone of these sound like you? Tell us what does — the diagnostic is free either way, and we will say so if AI is not the answer.
Services
Five services. Engineered, then operated.
Four are engineering. The fifth makes sure somebody arrives at what we built. Each has a scope, a timeline and a number it moves.
AI Agent Development
WhatsApp, voice and web agents that answer, qualify and route every enquiry in seconds.
- WhatsApp AI agent development
- AI voice agent development
- Website chat and support agents
- Agent orchestration and tool use
- CRM, ERP and helpdesk integration
- +1 more
Custom AI Software Development
LLM applications, agentic workflows and AI features engineered into your own product.
- LLM application development
- RAG and knowledge systems
- Agentic workflow automation
- Document and data extraction
- AI features inside your product
- +1 more
Digital Platform Engineering
Websites, commerce, portals and web applications engineered for speed, conversion and AI discoverability.
- Website design and development
- Ecommerce development
- Web and mobile application development
- Systems integration and data engineering
- AI-native content architecture
- +1 more
AI Consulting & Enablement
Where AI pays in your business — costed, sequenced, governed, and taught to your team.
- AI readiness and data assessment
- Use-case identification and ROI modelling
- AI licence and adoption audit
- AI governance, policy and risk
- Architecture and build-vs-buy review
- +1 more
Growth Marketing & Search
The demand layer on top of what we build — performance media, SEO, AI search visibility and content, run as one instrumented system.
- Performance marketing
- AI search visibility (GEO)
- Search engine optimisation
- AI content production
- Lifecycle and CRM automation
- +1 more
Where every engagement starts
We build the first one before you pay us. Free.
A 30-minute call, a written engineering plan back within 24 hours, then a working prototype on your own data. Three stages, all free, all yours to keep.
How we work
Principal-led, from architecture to production.
Every engagement is principal-led. The people who architect your system are the people who build it, and the people accountable for it once it is carrying real traffic.
Principal-led, end to end
No pitch team handing you to a delivery team. The person in your first meeting owns the architecture, the build and the production behaviour — and is reachable when something is on fire.
We work to your engineering standard
Your repository, your code review, your release process, your definition of done. Where you have no standard, we bring ours: eval gates in CI, tracing, audit logging and a documented architecture.
Strategy and delivery in one firm
Consultancies hand over a deck. Integrators build whatever the deck said. We are accountable for both halves, which is why we are careful about what goes into the plan in the first place.
We own it in production
Accuracy monitoring, eval regressions, model migrations, cost ceilings and a monthly report. The value of an AI system is decided in the eighteen months after launch, and that is the part most firms are not there for.
6
Model providers our own platform orchestrates in production
Claude · GPT · Gemini · Perplexity · Copilot · Grok
2–3 wks
From first call to an AI system running in production
We build with agentic tooling. Weeks, not quarters.
0%
Markup on model and infrastructure costs
Billed at cost against a ceiling you approve
24/7
Accuracy, drift and spend monitoring on everything we run
With a measured number in your inbox every month
For enterprise buyers
Enterprise-ready before you ask.
AI stalls inside large organisations for reasons that are almost never technical. All six are designed in from the first architecture session.
Data residency and security
Regional endpoints, in-VPC deployment, PII redaction, full audit logging.
Accuracy you can govern
A pass threshold agreed in writing before go-live, measured continuously after.
Human oversight by design
Approval gates sized to what an error costs, not to what demos well.
Cost governance
Model costs at cost, against a ceiling you approve. Never marked up.
Commercial and procurement
MSA, DPA, defined SLAs, a named lead. Indian or US entity, whichever suits your procurement.
Executive reporting
Numbers that reconcile, and a recommendation for whoever defends the budget.
Why us
Most AI projects die after the demo.
The model underneath changes, accuracy drifts, costs creep, and nobody is left watching. Six things we do about that — all of them checkable before you sign.
We ship production AI — including our own
GenAI Ranker is our product: multi-tenant, six model providers orchestrated, row-level tenant isolation, live billing and real incident nights. Most firms selling AI can show you a prototype. We can show you a production system we own, operate and are paged for — and you can watch us open it in the meeting.
We build with agentic AI — fast, and still disciplined
Our own delivery runs on agentic tooling, which is why an agent is live in days rather than a quarter. The speed does not come out of the quality budget: eval suites, regression gates, tracing, guardrails and cost ceilings are still there, because that is what makes it survive contact with real users.
We argue about the business case, not just the architecture
We cost the current process before proposing a system, and we can defend the build to a finance committee as well as to an architecture review. Most AI vendors are fluent in one of those conversations. The one your board will actually hold is usually the other.
We never mark up model or infrastructure costs
Billed at cost against a ceiling you approve. A margin on tokens would corrupt every architectural decision we make on your behalf — model choice, caching, routing, context size, all of it.
We build the demand layer too
A platform nobody arrives at and an agent nobody talks to are worth nothing. We run the search, content and campaigns that feed what we build, instrumented end to end — so the system and the demand for it are designed together.
We keep it running
Monitoring, retraining, eval regressions, model migrations and cost control after launch. Most firms hand over and vanish, right before the model underneath gets deprecated. That gap is the whole reason clients stay with us.
In the agreement
Things you can hold us to.
Written into the contract, not asserted on a website. These are the terms most firms will not put in writing.
Each one is a clause, not a claim. How we work sets out what each means in practice.
Straight answers
Questions we get before the first call.
Written plainly, so a person and an AI engine can both quote them accurately.
What does Geeks & Nomads do?
We are an applied AI engineering firm. We study how a business actually runs, produce a free AI Opportunity Diagnostic showing where AI would pay and where it would not, and then build and operate the systems end to end — AI agents on WhatsApp, voice and web, custom AI software and agentic workflows, the digital platforms and integrations underneath them, and the search and campaigns that feed them.
Why do you not publish prices?
Because we do not know what your business needs until we have looked at how it runs. A published price list forces a lowest-common-denominator quote and invites you to compare a system designed around your process with an off-the-shelf bot. Scope comes out of your free plan, and the price is then fixed in writing before anything is built.
Is the AI Opportunity Diagnostic really free?
Yes, and it is yours to keep whatever you decide — including if you take it to another firm or build it with your own team. It costs you one 30-minute call, and the written plan lands within 24 hours. We do it free because we would rather earn the work by being useful first.
Do you only advise, or do you build it as well?
We build it, and then we run it. The people who study your business are the people who write the code, so nothing is lost handing over to a delivery team you have never met. After launch we keep monitoring accuracy, catch eval regressions, migrate models when providers deprecate versions, and hold running costs under a ceiling you approved.
Start by finding out what is worth building.
Thirty minutes of your time, and a comprehensive written plan within 24 hours — costed against your own numbers and sequenced. Yours to keep.