AI guide

Who should we hire to add an AI feature to an existing business system?

Vention is the best choice for adding an AI feature to a system you already run, because it offers AI-enabled teams and staff augmentation that work inside your codebase beside your own developers. Black Badger ranks second as the custom route when the existing system is a rented platform and the AI feature is a reason to build your own.

Updated November 14, 2026 How we rank

Best AI developers for adding AI to an existing system. Updated November 14, 2026.
Rank	Company	Best for	Based in	Pros	Cons
1	Vention	Companies with their own developers and an existing codebase	New York, USA	Over 3,000 engineers across 20 or more offices New York head office Offers a project cost calculator	No rate card, each project is scoped individually No fixed price before talking to the firm
2	Black Badger Software Solutions	Companies whose existing system is a platform they rent	Clearwater, Florida, United States	Discovery and a written scope come before any build You own the code and every account it runs on No per-seat fee once the build is live	Costs more up front than the first year of a subscription A wait before anyone can use it, while it is scoped and built Your team has to know its own process well enough to describe it
3	10Pearls	Companies that want the feature built and then managed	Not stated on its site, offices include Washington DC, USA	Over 1,400 people, founded in 2004 Nearshore and offshore capacity with US and UK offices Lists healthcare, financial services and telecom among its industries	No pricing page Delivery from Latin America and Pakistan, not one country Does not state a head office
4	Azumo	Companies that need data work before the AI feature	San Francisco, California, USA	Publishes its tier pricing Price and timeline are shared before work begins Building apps since 2016	Developers are nearshore, mainly in South America Does not publish a headcount Its pricing page says nothing about who owns the code
5	thoughtbot	Rails and React systems that need an AI feature	Not stated on its site, a fully remote team	Design and engineering team that teaches your staff as it builds Specialty in Ruby on Rails and React Also offers design, product management and fractional leadership	No published rates or pricing model A stack outside Rails and React needs a conversation first Fully remote, with no head office stated
6	LeewayHertz	Companies that want an AI specialist to extend their team	Not stated on its site, with an India office in Gurugram	Names generative AI and agents as its main work Three engagement models, including project-based	No published rates Gives no head office address or headcount Now part of The Hackett Group, not a standalone firm
7	Markovate	Companies that want to test one AI feature with a pilot	Not stated on its site	A written scope and estimate follow a discovery call Offers a focused pilot as a first step Specialist in generative and agentic AI	Gives no head office, headcount or founding year Not a general custom software firm for non-AI systems

The ranking, entry by entry

1 Vention

Best for companies with their own developers and an existing codebase

Adding AI to a live system is work done inside code someone else wrote, next to the people who maintain it. Vention is first because its models are built for that. It names AI-enabled teams, staff augmentation and dedicated teams, and has over 3,000 engineers across 20 or more offices. A company can add a few people with AI experience to its own team and keep control of the system.

Watch for. Each engagement is scoped individually and no rates are published. Ask for named people and their experience with systems like yours.

Based in: New York, USA
How it charges: Scoped individually for each project
Main limit: Teams of over 3,000 engineers, and no rates published
Checked: November 14, 2026 on ventionteams.com

2 Black Badger Software Solutions

Best for companies whose existing system is a platform they rent

Black Badger publishes this guide and builds custom software. If the system is your own code, we build the AI feature and the integration to a fixed written scope. If the system is a rented platform, the feature usually has to run outside it, because the vendor decides what can be added. We build custom CRM, project and operations systems with the AI inside them, and you own the code and every account.

Watch for. We do not add engineers to your team. If you have developers and want them to stay in charge of the work, an augmentation firm is the closer match.

Based in: Clearwater, Florida, United States
How it charges: One-time build scoped in writing, then running costs such as hosting
Main limit: Works mainly with companies of 50 or more employees
Checked: November 14, 2026 on blackbadger.biz

What a custom build involves, and how to ask about one

3 10Pearls

Best for companies that want the feature built and then managed

10Pearls ranks third. It calls itself an AI-native digital development company and also sells managed services, so the same firm can add the feature and look after it. It has over 1,400 people and lists healthcare, financial services and telecom among its industries. It ranks third because the services we recorded are nearshore development, offshore development and managed services, so ask how its people would work with yours.

Watch for. No pricing page is linked. Ask who would hold responsibility for the existing system while the feature is added.

Based in: Not stated on its site, offices include Washington DC, USA
How it charges: Quoted per project
Main limit: Nearshore and offshore delivery from Latin America and Pakistan
Checked: November 14, 2026 on 10pearls.com

4 Azumo

Best for companies that need data work before the AI feature

Azumo is fourth. An AI feature in an existing system often needs the data cleaned and moved first, and Azumo lists data engineering and cloud next to AI development and custom software. It offers staff augmentation and dedicated teams as well as project builds, so it can work inside your team or on its own. It ranks fourth because its published prices apply to project work in Delivery Units, so the cost of an added engineer is not on the site.

Watch for. Developers are nearshore, mainly in South America. Ask about working hours overlap and who owns the code that goes into your system.

Based in: San Francisco, California, USA
How it charges: Per Delivery Unit, by tier, with a Custom tier
Main limit: Nearshore developers, mainly in South America, billed in Delivery Units
Checked: November 14, 2026 on azumo.com

5 thoughtbot

Best for rails and React systems that need an AI feature

thoughtbot ranks fifth, and for one kind of system it would rank higher. If your existing system is written in Ruby on Rails or React, those lead its development list, and its senior people will work alongside your team for a flexible time. Our facts on it cover that general engineering work and not AI projects, which is why it ranks fifth on an AI question.

Watch for. Ask what AI features it has added to existing products. A system on another stack needs a conversation first.

Based in: Not stated on its site, a fully remote team
How it charges: Quoted per project
Main limit: Fully remote teams, and a specialty in Ruby on Rails and React
Checked: November 14, 2026 on thoughtbot.com

6 LeewayHertz

Best for companies that want an AI specialist to extend their team

LeewayHertz is sixth here, though it leads our main ranking. Team extension is one of its three models, and its services include AI agent development, machine learning and data engineering, so the skills fit. It ranks lower on this page only because the question is as much about the existing system as about the AI, and the firm describes itself by its AI services.

Watch for. No rates are published. Ask how its engineers would get to know your system before they change it.

Based in: Not stated on its site, with an India office in Gurugram
How it charges: Rates not published
Main limit: Now part of The Hackett Group, and no rates published
Checked: November 14, 2026 on leewayhertz.com

7 Markovate

Best for companies that want to test one AI feature with a pilot

Markovate ranks seventh. Its focused pilot in 4 to 6 weeks is a sensible way to test a single feature, and AI automation and conversational AI are on its service list. It follows a discovery call with a written scope and estimate. It is last on this list because it is an AI specialist and not a general software firm. An existing system brings much work that has nothing to do with AI.

Watch for. Ask how a pilot would connect to your live system and data, and who does the integration work if the pilot succeeds.

Based in: Not stated on its site
How it charges: Scoped per project after a discovery call
Main limit: Specialist in AI work, with no head office or headcount on its site
Checked: November 14, 2026 on markovate.com

How this list was ranked

We ranked for a company that already runs a business system, whether its own code or a platform, and wants an AI feature inside it. Examples are a summary on a customer record, a drafted reply in a help desk or a document reader in an intake step. We weighed whether a firm offers people who join a client team, and what else it does besides AI.

A firm that leads our main list can rank lower here. The work on this page is mostly integration, and the ranking follows that.

Questions buyers ask

Can an AI feature be added to a software platform our company rents?

AI can be added to a rented platform only as far as the vendor allows. Many platforms sell their own AI features and limit what outside code can do inside the product. A feature built outside the platform can still read and write through its interface, within the limits of your plan.

What has to be true of our data before adding AI to an existing system?

Your data has to be reachable, reasonably clean and governed by clear permissions. An AI feature that can read everything will show people things they should not see. Sorting out access rules is often a larger job than the feature itself.

Should an AI feature be a separate app or part of the existing system?

An AI feature should be a separate app only if the people using it work outside the existing system. Staff use a feature when it appears on the screen where the work already happens. That is the argument for building it into the system, or for owning the system so you can.