How much do AI software development companies charge for a custom build?

Clutch’s 2026 data shows the most common AI project costs $10,000 to $49,999, with an average of $120,594.55. ScienceSoft publishes bands from $10,000 for chatbots to over $1,000,000 for multi component systems. Vrisic’s typical range for a custom AI first version (MVP) is $25,000 to $60,000, and a production platform is $60,000 to $150,000, with one fixed price after scoping.

What is the difference between an AI software company and a custom AI development company?

The term AI software company often means a vendor that sells a finished AI product, such as a subscription tool. A custom AI development company builds software to your specification, which you then own. If your needs are common, a product may be enough. If the process is unique to you or the data is sensitive, a custom build usually fits better.

Is fixed price or time and materials better for an AI software project?

Fixed price works best for a well defined first release, because the vendor carries the risk of overruns inside the agreed scope. Time and materials suits research heavy work where the path is unclear. Many buyers combine both: a short paid discovery phase, a fixed price first release, then a monthly retainer or dedicated team for later improvements.

Should I hire freelance AI engineers or an AI development agency?

Hire freelancers through a network such as Toptal if you already have a technical lead who can own architecture, code review and delivery. Hire an agency if you need someone to take responsibility for the whole outcome, including design, testing, security and support. Agencies cost more per hour but usually reduce the management load on your own team.

How much does it cost to maintain custom AI software each year?

A common planning figure is 15% to 30% of the original build cost each year, and Pulsion Technology notes it can reach 40%. Costs cover hosting, model usage, monitoring, security updates, model version changes and small improvements. Heavy usage, strict uptime requirements or frequent changes to source data push the figure toward the top of that range.

What should I own when a custom AI software project ends?

You should own the source code, infrastructure definitions, prompts, evaluation datasets, any fine tuned model weights and all documentation. The system should run in your cloud account using your model provider keys. Confirm these points in the contract before work starts, and ask for a handover session so your team or a future vendor can take over without friction.

Best AI Software Development Companies (2026)

Q: What are the best AI software development companies for custom builds?

Strong options include Thoughtworks and Globant for large programmes, ScienceSoft for US buyers wanting published cost bands, Netguru, STX Next and Miquido for European product and data engineering, Pulsion Technology and Ronins in the UK, Toptal for individual engineers and Aleddo Technologies in Dubai. The best fit depends on your delivery model, in house skills and whether you are building new or modernising.

Short answer: The best AI software development companies for custom builds combine strong software engineering with AI skills. Thoughtworks and Globant suit large modernisation programmes, ScienceSoft and Pulsion publish useful price ranges, Netguru, STX Next and Miquido are proven European product builders, Ronins serves London startups, Toptal supplies individual engineers and Aleddo Technologies serves Dubai. Choose by delivery model as much as by skill.

In this guide

Why engineering matters more than the model
How we picked these companies
Five ways AI software companies charge
Comparison table
The companies
Vrisic
How to choose a custom AI development company
Questions to ask
Warning signs
Sources

AI software development companies build complete applications around AI models: the user interface, the data pipelines, the integrations, the permissions, the tests and the hosting. The model call might be 5% of the code. The rest is ordinary, careful software engineering, and that is where most custom AI projects succeed or fail. If you need a partner for that kind of work, our custom AI software development page shows how we approach it.

This guide compares eleven firms that take on custom AI builds for clients in the US, UK, UAE and further afield. It is written for buyers who want a product or internal platform built and maintained, not a strategy deck. We checked every company’s website in September 2026, grouped them by the buyer they suit and showed prices only where the firm publishes them.

Disclosure: Vrisic publishes this guide and is included in the list.

Why AI software companies should be judged on engineering, not the model

Any competent developer can call GPT 5, Claude or Gemini through an API. What separates good AI software companies is everything around that call.

Data plumbing: getting clean, permission aware data from your CRM, ERP, file stores and databases into the model at the right moment.
Testing: automated tests for normal code plus evaluation sets that score AI outputs on every release.
Operations: logging, cost tracking, alerting and a plan for model version changes.
Security: role based access, audit logs and handling of personal data under GDPR, UK GDPR, HIPAA or UAE PDPL.
Maintainability: code your own team, or a new vendor, can understand and extend.

Budget for the long run too. Pulsion Technology notes that ongoing maintenance can reach up to 40% of the initial build cost each year (Pulsion, 2026), and a planning figure of 15% to 30% is common. Our full guide to AI development cost breaks this down.

How we picked these AI software development companies

Each firm on this list had to show, on its own site, that it builds custom software with AI inside it. We then weighed four things.

Software engineering track record. A history of shipping and maintaining non AI software, because that discipline carries over.
AI capability named clearly. Generative AI, retrieval, agents, machine learning or computer vision listed as real service lines.
Clear delivery model. Fixed price, time and materials, dedicated team, subscription or talent marketplace, stated openly.
Coverage for our readers. Options that work for buyers in the US, UK and UAE, including local offices where we could confirm them.

We deliberately chose different firms from our lists of AI agent developers and generative AI consultancies, because custom software builders are a different buying decision.

Five ways AI software companies charge for custom builds

How a firm charges shapes your risk more than almost anything else. Clutch’s 2026 data puts the most common AI project at $10,000 to $49,999, the average at $120,594.55 and typical US agency rates at $50 to $99 per hour (Clutch, 2026). Within those numbers, the model matters.

Model	How it works	Suits	Risk sits with
Fixed price	One agreed price for a defined scope	Clear first releases and MVPs	Vendor, within scope
Time and materials	Pay for hours worked	Research heavy or changing scope	Buyer
Dedicated team	Monthly fee for a set team	Long running products	Shared
Subscription pods	Monthly capacity, sometimes metered	Continuous delivery at scale	Shared
Talent marketplace	You hire individual engineers	Teams with strong internal leads	Buyer

Best AI software development companies compared

Company	Headquarters	Best for	Delivery model	Published pricing
Thoughtworks	Chicago, US	Enterprise modernisation with AI	Consulting teams	Not published
Globant	New York, US	Subscription AI engineering	AI Pods	Not published
ScienceSoft	McKinney, Texas, US	US buyers wanting cost ranges	Project based	$10,000 to $1,000,000+
Netguru	Poznań, Poland	Commerce and consumer products	Product teams	Not published
STX Next	Poznań, Poland	Python and data heavy AI	Dedicated teams	Not published
Miquido	Kraków, Poland	AI in mobile and fintech apps	Product teams	Not published
Pulsion Technology	Glasgow, UK	UK mid market builds	Project, team or augmentation	£10,000 to £500,000+
Ronins	London, UK	Startups needing a prototype first	Prototype then build	Not published
Toptal	Remote network	Adding individual AI engineers	Talent marketplace	Not published
Aleddo Technologies	Dubai, UAE	UAE teams wanting monthly hours	Co sourcing, project or hourly	Not published
Vrisic	Serves US, UK and UAE	Fixed price AI first builds	Fixed price	$25,000 to $150,000+

The best custom AI software development companies, by buyer type

Thoughtworks: best for enterprise modernisation with AI built in

Thoughtworks, headquartered in Chicago and taken private by Apax Partners in 2024, is known for agile delivery and software craft. Its AI offer includes AI strategy focused on token economics and vendor dependency, an agentic development platform called AI/works, an agent governance platform called Agent/works, AI factory services for hosting models on your own hardware, and data modernisation.

Best for: large firms modernising old systems while adding AI. Keep in mind: senior consulting teams carry enterprise rates.

Globant: best for subscription based AI engineering

Globant, which gives New York as its headquarters and employs over 31,000 people in 36 countries, launched AI Pods in June 2025. Clients subscribe monthly and receive metered, token based capacity for engineering, design and testing, delivered through its model agnostic Globant Enterprise AI platform and a coding tool called CODA. The company calls it “services as software”.

Best for: companies that want continuous AI assisted delivery rather than a single project. Keep in mind: ask how token capacity maps to real features before you commit.

ScienceSoft: best for US buyers who want published cost ranges

ScienceSoft is based in McKinney, Texas, near Dallas, and says it was founded in 1989 and has more than 750 staff. It builds generative AI solutions, multi agent systems, RAG based document intelligence and traditional machine learning across many industries. It publishes cost bands: $10,000 to $100,000 for chatbots and conversational agents, $50,000 to $150,000 or more for enterprise agents with integrations, and $300,000 to $1,000,000 or more for multi component AI systems.

Best for: healthcare, insurance and enterprise buyers who want a long established vendor. Keep in mind: ranges are wide, so push for a scoped estimate.

Netguru: best for commerce and consumer products

Netguru is based in Poznań, Poland, and says it has more than 630 developers and designers and 17 years in operation. It offers software engineering, product design, cloud and AI implementation, with a strong focus on digital commerce. It lists IKEA, Volkswagen and Delivery Hero among clients, and is a Microsoft and AWS partner.

Best for: retail and consumer brands adding AI to web and mobile products. Keep in mind: confirm time zone overlap if you are on the US west coast.

STX Next: best for Python and data heavy AI systems

STX Next, also based in Poznań, describes itself as a Python native team for more than 20 years, with over 450 people. Its work covers AI and machine learning, data engineering and lakehouse builds, cloud migration and AI augmented software development, mainly for financial services, industrial and technology companies.

Best for: projects where data engineering is the hard part, such as analytics platforms or document pipelines. Keep in mind: front end heavy consumer apps may suit a product studio better.

Miquido: best for AI inside mobile and fintech apps

Miquido is a Kraków software house with more than 13 years of history, over 200 people and more than 250 products delivered, according to its site. It offers custom software, generative AI, LLM and machine learning solutions, mobile development and product design, and names clients such as BNP, Aviva and Skyscanner.

Best for: banks, insurers and consumer apps that want AI features in a polished mobile product. Keep in mind: check who leads AI evaluation on your project.

Pulsion Technology: best for UK mid market custom builds

Pulsion is based in Glasgow and says it has delivered software since 1995. It offers custom software, AI and machine learning, mobile and web development and cloud migration, through projects, dedicated teams or staff augmentation. Its 2026 UK cost guide lists chatbots at £10,000 to £40,000, generative AI apps at £25,000 to £120,000 or more, AI agent systems at £30,000 to £150,000 or more and enterprise AI systems at £100,000 to £500,000 or more.

Best for: UK companies that want a local supplier with long software experience. Keep in mind: AI is one of many service lines, so ask to meet the AI engineers.

Ronins: best for London startups that want a prototype first

Ronins works from Covent Garden in London and Guildford in Surrey. It builds AI powered platforms, agents that answer questions from company data, generative AI for document work and machine learning models. Its process starts with strategy and a rapid prototype, uses GPT, Claude or open source models depending on the need, and quotes 8 to 12 weeks for simpler builds.

Best for: founders and innovation teams testing an idea before full funding. Keep in mind: pricing is scope based and not published.

Toptal: best for adding individual AI engineers to your team

Toptal is a remote talent network that supplies freelance AI developers on hourly, part time or full time contracts, and also offers managed teams. It says fewer than 3% of applicants pass its screening and offers a no risk trial period.

Best for: companies with a strong technical lead who need extra hands. Keep in mind: you carry architecture and delivery risk yourself.

Aleddo Technologies: best for UAE teams that want dedicated monthly hours

Aleddo Technologies is based at Meydan Grandstand in Dubai. It builds conversational AI, document intelligence, predictive analytics, computer vision and autonomous agents for banking, government, real estate, insurance and manufacturing. It offers three models: co sourcing with 176 dedicated developer hours a month and a 7 day free trial, a full development contract, or payment for measured hours.

Best for: UAE organisations that want a local partner and flexible capacity. Keep in mind: agree acceptance criteria when you pay by the hour. Our Dubai and UAE buyer’s guide covers local rules.

Vrisic: best for fixed price, AI first custom builds

Vrisic is a young custom AI software development company serving the US, UK and UAE. We build AI powered platforms and internal tools, with agents, retrieval and voice where they help, and we do it on fixed prices so budget risk sits with us inside the agreed scope. We build on your cloud account, you own the code, and we do not claim a client list or awards we do not have.

Typical ranges: a first version (MVP) costs $25,000 to $60,000 (£20,000 to £48,000, AED 92,000 to AED 220,000) over 8 to 12 weeks. A production platform costs $60,000 to $150,000 (£48,000 to £120,000, AED 220,000 to AED 550,000) over 12 to 20 weeks. An enterprise platform starts from $150,000 over 5 to 9 months. These are typical ranges; you get one fixed price in writing after a free scoping call.

Disclosure: Vrisic publishes this guide and is included in the list.

How to choose a custom AI development company

Start with your constraints, not the vendor list. Three questions narrow the field fast.

Do you have a technical lead in house?

If yes, a talent network or dedicated team can work, because someone on your side owns the architecture. If no, pick a firm that takes delivery responsibility, ideally on a fixed scope for the first release.

Is this a new product or a change to existing systems?

New products suit product studios such as Netguru, Miquido or Ronins. Changes to old systems suit modernisation specialists such as Thoughtworks. When the job is mostly wiring AI into software you already run, our AI integration service is often cheaper than a rebuild. Our guide on adding AI to your CRM shows a typical example.

Should you build at all?

Off the shelf tools cover many needs. Read our comparison of AI automation tools against custom builds before you fund a project. Build custom when the process is a competitive edge, the data is sensitive or the volume makes per seat pricing expensive.

Key takeaway: the best AI software company for you is the one whose delivery model puts risk where you can manage it.

Industry context matters too. Healthcare builds need HIPAA aware design, as our healthcare AI page explains, while ecommerce builds live or die on catalogue and order data.

Questions to ask AI software companies before you commit

Can we see code from a past project? Anonymised samples show testing habits, structure and documentation.
Who will actually work on our project? Get names and roles, and confirm the AI engineer is not shared across ten clients.
How do you test AI outputs as well as code? Expect an evaluation set with target scores in the acceptance criteria.
What happens to the budget if scope changes? A clear change process protects both sides.
Where will the system run and who holds the keys? Your cloud account and your model provider keys should be the default.
What does handover include? Documentation, runbooks, access transfer and a knowledge transfer session.
What will maintenance cost each year? Ask for a written estimate covering hosting, model usage and support.

Warning signs when choosing AI software companies

No questions about your data before quoting. Data readiness drives cost more than any other factor.
A quote with no discovery phase for anything larger than a small pilot.
A proprietary framework you cannot take away, which ties future work to one vendor.
No plan for model changes, even though providers retire models on a regular schedule.
Junior teams behind senior sales staff, which you only discover after signing.
Prices that look far below market. They usually mean missing testing, security or support.

More comparisons: top 10 AI and SI development companies in the USA, Vrisic vs other AI development companies and how to choose an SI development company.

How Vrisic can help

If you have a custom AI product or internal platform in mind, we will scope it on a free call, tell you what we would build first and give you one fixed price. We keep the first release small enough to launch within weeks, then grow it with you.

Many of our builds include voice AI or RAG and AI search components, and we can review an existing design before you commit. When you are ready, contact us to book a scoping call.

Best AI Software Development Companies for Custom Builds