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July 2, 2026 · 11 min read

Best Custom AI Development Companies for SMBs (2026)

Ten real firms compared for 10-500 person companies. Who each one is actually best for, how they engage, and where they work — including us, disclosed upfront.

Mark Austen, Founder of AI Makers
Mark Austen

Founder, AI Makers — 18 years building software, 50+ AI projects shipped

Full disclosure, before anything else

This list is published by AI Makers, and AI Makers is on it — at #1, because it’s our list and we believe in what we sell. Every agency ranking you’ll find on this query works the same way; at least we’re saying it out loud. To keep it useful anyway, every other company here is real, researched, and profiled honestly, and the AI Makers entry includes a “who we’re NOT for” section that sends some readers to the competitors below.

If you run a 10-500 person company and you’ve decided to commission custom AI — an agent, an automation, an internal platform — the hard part isn’t finding a developer. It’s that everyone from a solo freelancer to Accenture claims the same three words: “custom AI development.” The price for the same outcome spans two orders of magnitude depending on who you pick.

So this list is organised around one question: what shape of firm fits what shape of buyer? Not “who has the most impressive logo wall” — who will actually take your project seriously at your budget, ship it in weeks not quarters, and leave you owning the result.

The comparison at a glance

CompanyBest forModelRegion
1. AI MakersSMBs (10-500 people) wanting one senior builder end-to-endFounder-led, fixed price, you own the codeRemote — US, UK, EU, APAC, Gulf
2. RTS LabsUS mid-market data + AI projectsFixed-fee discovery sprint, then fixed-price buildsRichmond, VA (US)
3. NextAutomationFast workflow automation for 10-100 person B2B firmsProject-based, rapid deploymentsUS
4. AzumoNearshore AI team extension in US time zonesDedicated nearshore teamsSan Francisco HQ, teams in South America
5. MarkovateGenerative AI and agent builds for mid-sized companiesProject consulting + developmentSan Francisco, Toronto
6. InData LabsML- and data-science-heavy buildsConsulting + dedicated teamsCyprus HQ, EU delivery
7. XcelacoreAI wired into ERP/CRM — manufacturing, distributionConsulting + delivery teamsChicago area (US)
8. SoftKraftEU nearshore engineering + staff augmentationProject teams or staff augmentationPoland, remote-first
9. Master of Code GlobalConversational AI and chatbots at enterprise scaleLarge delivery teamsGlobal, 5 offices
10. LeewayHertzEnterprise-grade AI platforms with a large benchFull-service enterprise engagementsUS + India

No pricing column on purpose: we don’t publish other firms’ rates, and any number we guessed would be wrong by the time you read this. Ask each firm for a written quote — and be suspicious of anyone who won’t give you one.

1. AI Makers — founder-led custom AI for 10-500 person companies

That’s us. AI Makers is a deliberately small studio: you work directly with the founder (me, Mark Austen — 18+ years shipping software), who scopes the project, writes the code with a fleet of AI development agents, and demos live software to you every Friday. No account managers, no handoffs, no junior bench. Projects are fixed-price after a free 30-minute discovery call, most ship in 4-12 weeks, and you own everything at the end — code, prompts, integrations, infrastructure.

Best for: SMBs that want senior judgment applied directly to their problem — customer-support agents, workflow automation, internal platforms — without paying for an agency’s org chart. If you want a number before a conversation, the cost estimator gives you a realistic range in 30 seconds, and the system builder lets you design the whole thing yourself and send it in for a written quote.

Who we’re NOT for: honesty cuts both ways. If your project is a multi-country, multi-regulator rollout, you need a firm with a large bench — look at LeewayHertz or Master of Code below. If your board needs a brand-name vendor for political cover, a boutique won’t give you that. If you need ten engineers embedded in your office next month, that’s a staffing engagement — Azumo or SoftKraft fit better. And if off-the-shelf SaaS genuinely covers your case, we’ll tell you on the call and you should spend the money elsewhere.

2. RTS Labs — US mid-market data + AI, priced by scope

RTS Labs is a Richmond, Virginia consultancy founded in 2010 that takes AI projects from pilot to production, with deep roots in data engineering — pipelines, warehousing, integration — alongside machine learning and custom software on Azure, AWS, Salesforce and Snowflake. Notably for this list, they price by scope rather than by the hour: engagements start with a fixed-fee discovery sprint, then builds are scoped as fixed-price projects with defined milestones. That pricing discipline is rare at their size and exactly what SMB buyers should demand.

Best for: US mid-market companies in logistics, finance, insurance or real estate whose AI project is really a data project underneath — and who want fixed pricing from a firm big enough to staff it.

3. NextAutomation — rapid workflow automation for small B2B teams

NextAutomation focuses exclusively on B2B companies with 10-100 employees and says so plainly — a rare thing in a market where everyone claims to serve everyone. They build workflow automation for sales, operations and reporting on an n8n-centric architecture, with project-based pricing and deployments they advertise as going live in about two weeks. The trade-off is scope: this is automation plumbing done fast, not bespoke AI product engineering.

Best for: small US companies that want revenue and ops workflows automated quickly, and don’t need a custom application built around the automation.

4. Azumo — nearshore AI teams in your time zone

Azumo is a San Francisco-headquartered, SOC 2-certified development firm that has shipped 100+ production AI projects since 2016, with delivery teams primarily across South America working US hours. They cover computer vision, NLP, generative AI, RAG and agents, and their client list runs from startups to the Fortune 100. The model is team extension: their engineers work as part of yours.

Best for: companies that want an ongoing nearshore engineering capability with real AI depth — more of a long-term team relationship than a fixed-scope project.

5. Markovate — generative AI and agents for the mid-market

Markovate is a San Francisco- and Toronto-based studio with a 30+ person in-house team and 65+ completed AI projects, concentrated on generative and agentic AI: chatbots, autonomous agents that execute multi-step workflows, and AI woven into existing operations. Their size puts them in an interesting middle spot — big enough to run several projects at once, small enough that you’re not a rounding error.

Best for: mid-sized companies commissioning a generative-AI or agent build who want a North American team without enterprise-consultancy overhead.

6. InData Labs — when the problem is really data science

InData Labs, founded in 2014 and headquartered in Cyprus with delivery offices in the EU, is an 80+ person data science firm that has been doing ML since before the LLM wave — computer vision, predictive analytics, NLP — for clients across fintech, healthcare, SaaS, retail and logistics. If your “AI project” is actually a modelling problem (forecasting, detection, scoring) rather than a workflow or agent problem, this is a different discipline and you want a firm that practices it.

Best for: companies whose project has a genuine machine-learning core, not just an LLM API call — and EU buyers who want EU-based delivery.

7. Xcelacore — AI integrated into ERP and CRM stacks

Xcelacore is a Chicago-area consulting and development firm (founded 2014, headquartered in Oak Brook, Illinois) whose pitch is integration: AI that actually connects to your ERP, CRM and operational data flows from day one, rather than a demo bolted onto the side. They’ve delivered across manufacturing, distribution, healthcare, financial services and ecommerce, with robotic process automation and QA in the same shop. They build working software, not slide decks — their consultants are accountable for delivery.

Best for: manufacturers, distributors and operations-heavy businesses whose AI value lives inside NetSuite, SAP, Salesforce or a legacy ERP.

8. SoftKraft — EU nearshore engineering, project or staff-aug

SoftKraft is a remote-first Polish consultancy (Bielsko-Biała) that delivers custom software, AI and data engineering — Python backends, React frontends, cloud data pipelines, production AI integrations — either as scoped projects or as staff augmentation into your existing team. Client reviews consistently flag communication and adaptability, which matters more than any technology claim when you’re buying remote delivery.

Best for: European companies (or US companies comfortable with EU hours) that want strong engineering rates without offshore communication risk, especially if you already have a technical lead in-house.

9. Master of Code Global — conversational AI at scale

Master of Code Global has been building software since 2004 and now runs 200+ people across five offices, specialising in conversational AI: custom agents, chatbots and voice solutions, with 1,000+ projects delivered and enterprise clients engaging very large user bases. This is what “we’ve done this before” looks like at scale in the conversational niche.

Best for: larger SMBs and enterprises whose project is specifically conversational — a high-volume customer-facing chatbot or voice agent — and who want a specialist with a long track record over a generalist.

10. LeewayHertz — enterprise-grade platforms, big bench

LeewayHertz, founded in 2007 with offices in the US and India and a 250+ person team, builds enterprise AI — strategy consulting, multi-agent systems, data engineering, and industry solutions for banking, retail, healthcare, insurance and logistics. Their client roster includes 30+ Fortune 500 companies (Siemens, 3M, P&G, Hershey’s). They’re on this list as the calibration point: this is what the top of the agency market looks like, and it’s the right choice when your project genuinely needs that machinery.

Best for: the upper end of the SMB range and beyond — complex, multi-system platform builds where bench depth and enterprise process matter more than speed or price.

Ready for a real number?

Estimate your custom AI project in 30 seconds

Three questions, an instant cost range and timeline based on real shipped projects. After 30 minutes on a discovery call you have a written fixed-price quote.

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How to actually choose between them

Four questions sort this list faster than any ranking:

  • Who writes the code? If the person on the sales call never touches the build, you’re buying a process, not a builder. That’s fine at enterprise scale; it’s waste at SMB scale.
  • Will they give you a fixed written quote? Time-and-materials shifts all the risk to you. Firms that scope first and fix the price (AI Makers, RTS Labs) are betting on their own estimate — that’s the incentive you want.
  • What happens to the code at the end? You should own everything: code, prompts, integrations. Any license fee or platform dependency on the agency’s own product is future leverage against you. Read the IP clause before you compare prices.
  • Is the firm’s shape your project’s shape? A two-week n8n automation doesn’t need a 250-person firm. A ten-system enterprise rollout shouldn’t go to a solo founder. Most bad agency experiences are shape mismatches, not bad agencies.

There’s a longer checklist of vetting questions in what to ask before hiring an AI developer, and a full breakdown of what these projects cost in the custom AI development guide.

If you want to start today

  1. Run the 30-second cost estimator to get a realistic range for your project shape.
  2. Or design the whole system yourself in the custom AI builder and send it in — you get a written fixed-price quote back, and the spec is yours to shop to any firm on this list.

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