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AI and Machine Learning

AI that does a measurable job in your business, not a demo that impresses once.

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Starting price · United States

$8,000project

AI consulting and pilot

Pilot on real data
3-6 wks
Evaluation
Every project
Code and prompts
You own

Discovery and pilot 3-6 weeks · production assistant or agent 2-4 months · custom ML model 3-6 months

The problem

Plenty of AI ideas, very little AI in production

Most AI projects stall between the demo and the workflow. The pilot worked on ten hand-picked examples, nobody measured it against the current process, and the security team has questions nobody can answer.

  • Pilots that never reach production
  • No evaluation set, so nobody knows if it is actually right
  • Sensitive data sent to tools without a review
  • Costs per request that nobody modelled at real volume
What we do about it

Start with the metric, then the model

We pick one process, write down what good looks like, build an evaluation set from your real data and only then choose the model. Everything ships with monitoring, cost controls and a human in the loop where it matters.

  • Use-case scoring by value, feasibility and risk
  • Evaluation sets built from your own data
  • Retrieval grounded in your documents, with citations
  • Cost per task modelled before launch, monitored after

What is inside

7 ways we run ai and machine learning

Each one has its own page with what is delivered and what it targets in search.

Always included

What comes with every engagement

Not an upsell list. These are part of the price, on every package.

Use-case scoring before any build
Evaluation set from your real data
Accuracy baseline against the current process
Security and data-handling review
Cost per task modelled at real volume
Human review where decisions matter
Monitoring for quality and drift
Model and provider choice explained
Documentation and handover
You own the prompts, code and data

Packages

Three ways to start

Prices shown for United States in USD. Change your region in the header to see another market.

Starter

Discovery and a working pilot.

$19k

one-time project

  • Use-case workshop
  • Data readiness review
  • One pilot on real data
  • Evaluation report
  • Costed production plan
Estimate this package
Most chosen

Growth

A production assistant or workflow.

$50k

one-time project

  • Grounded assistant or GenAI workflow
  • Guardrails and escalation
  • Integration with one system
  • Monitoring dashboard
  • Three months of tuning
Estimate this package

Pro

Agents or custom models at scale.

$250k

one-time project

  • AI agents or custom ML models
  • Multiple system integrations
  • Approval workflows and audit trail
  • Retraining pipeline
  • Dedicated AI engineer
Estimate this package

Full price table for United States

Discovery and pilots are fixed-price. Production builds are quoted from the pilot results.

🇺🇸 United States · USD
AI and machine learning pricing for United States
DeliverableUSD range
AI consulting and pilotUse-case scoring plus one pilot on real data$8,000 – $30,000
Grounded chatbot or assistantRetrieval over your documents, guardrails, one channel$20,000 – $80,000
Generative AI workflowDrafting, summarising or extraction inside your tools$30,000 – $120,000
AI agent systemMulti-step actions, approvals and audit trail$50,000 – $250,000+
Custom machine learning modelForecasting, scoring or recommendation$40,000 – $200,000
Computer vision solutionInspection, counting or document capture$60,000 – $300,000
AI engineering retainerTuning, monitoring and new use cases$4,000 – $15,000
US figures are benchmarked; UK, Canada, Australia, Europe, the Gulf and Asia are scaled from them and are indicative until confirmed on a call. Model usage fees are billed at cost by the provider and are not included.

Try it yourself

AI project ballpark

Move the inputs and the numbers move with them. Nothing is submitted until you choose to.

AI consulting and pilot · United States

$8,000 – $30k

project

Typical timelines: Discovery and pilot 3-6 weeks · production assistant or agent 2-4 months · custom ML model 3-6 months

Ballpark only. Scope, integrations, data readiness and compliance move the figure, and the full calculator asks about each of them.

Get a detailed estimate

Process

How the work actually runs

  1. 1Week 1

    Score

    Use cases ranked by value, feasibility, data readiness and risk. One is chosen.

  2. 2Weeks 2-5

    Prove

    Evaluation set built, pilot run on real data, results compared to the current process.

  3. 3Months 2-4

    Build

    Production system with guardrails, integrations, monitoring and cost controls.

  4. 4Ongoing

    Improve

    Quality and cost reviewed monthly, with retraining and prompt updates as data changes.

Tools and platforms we work in

ClaudeOpenAIAzure AIAWS BedrockLangGraphLlamaIndexPyTorchscikit-learnPineconepgvectorMLflowPythonClaudeOpenAIAzure AIAWS BedrockLangGraphLlamaIndexPyTorchscikit-learnPineconepgvectorMLflowPython

Case study

Sample profile: B2B distributor, 30 support agents

Agents were searching four systems to answer order and product questions, and new starters took two months to become useful.

What we did

  • Built an evaluation set from 500 real tickets
  • Deployed a grounded assistant with citations inside the help desk
  • Routed low-confidence answers to a senior agent
  • Tracked accuracy weekly against the evaluation set

Average handling time

11 min6 min

-45%

Answer accuracy

n/a92%

Measured

New starter ramp-up

8 weeks3 weeks

-63%

Cost per resolved ticket

$7.40$4.10

-45%

Sample engagement profile showing the kind of result this service targets. It is replaced with a client-approved case study, with names and logos, before launch.

AI and machine learning development: what enterprises need to know

What does an AI development company do?

An AI development company identifies where artificial intelligence can do measurable work in a business, then designs, builds, evaluates and operates that system in production. In 2026 that usually means large language model (LLM) applications, retrieval-augmented generation over company documents, AI agents that act inside business systems, and classic machine learning for forecasting, scoring and recommendations.

We handle the whole path: AI consulting and use-case scoring, data preparation, model selection across Claude, OpenAI, Gemini and open-source models, prompt and retrieval engineering, evaluation, integration, security review and MLOps monitoring.

Which AI solutions deliver the fastest return?

In our experience the first profitable AI projects are narrow, frequent and measurable.

  • AI customer support chatbots grounded in your help centre, with citations and human hand-off.
  • Document processing: extracting data from invoices, contracts, bills of lading and forms.
  • Internal knowledge assistants in Slack or Microsoft Teams that answer policy and product questions.
  • AI agents that prepare quotes, research leads or reconcile records, with approval before any irreversible action.
  • Demand forecasting, churn prediction and lead scoring models built on your historical data.
  • Computer vision for defect detection, damage assessment and automated counting.

How much does AI development cost?

An AI consulting engagement with a working pilot typically costs US$8,000 to US$30,000. A production chatbot or assistant runs US$20,000 to US$80,000, a generative AI workflow US$30,000 to US$120,000, and an AI agent system from US$50,000. Custom machine learning models range from US$40,000 to US$200,000 depending on data readiness.

Model usage fees are billed separately by the provider. We model the cost per task at your real volume before launch, so running costs are known rather than discovered.

How do you make sure an AI system is accurate and safe?

Every project starts with an evaluation set of real examples from your business. We report accuracy against it before launch and track it monthly afterwards. Retrieval systems cite their sources, low-confidence answers route to a person, and agents need approval for anything that cannot be undone.

Data stays under enterprise API terms that exclude training on your content, or inside your own AWS, Azure or Google Cloud account when regulations such as GDPR, UAE PDPL, Saudi PDPL or Singapore PDPA require it.

Related searches

  • AI development company
  • AI development services
  • machine learning development services
  • generative AI development company
  • LLM application development
  • RAG development
  • AI chatbot development company
  • AI agent development
  • computer vision development
  • AI consulting services
  • MLOps services
  • AI development company in UAE
  • AI development company in Singapore

AI and Machine Learning for clients in the US, UK, Europe, the Gulf and Asia

Pricing is published for each region, and engineering hours overlap with your working day.

Frequently asked questions

AI and Machine Learning: your questions answered

No. We use enterprise API terms where providers contractually do not train on your data, and we can deploy inside your own cloud account when that is required.

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Rough estimate only. Final pricing is confirmed after a consultation.