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We are one of the companies on this list; we explain the criteria we used so you can judge for yourself. Updated October 2026.
How do you choose an AI agent development company?
Choose an AI agent development company by checking that it has built agents that take real actions (not only chat interfaces), that it can explain how it evaluates, limits and monitors those agents, and that its size and industry experience fit your project. A polished demo on clean data proves little; ask how the agent behaves when a tool fails, the data is messy or the model is unsure.
An AI agent is a system where a language model plans steps and calls tools: your CRM, your database, email, a payment API or an internal service. That makes agents more useful than chatbots and also riskier. The companies worth shortlisting treat the model as one component and spend most of their effort on tool design, permissions, human approval for risky actions, logs and cost control. Our AI agent development service describes how we approach those parts.
What criteria did we use for this list?
We used six criteria, based on public information from each company's website and directory listings such as Clutch and GoodFirms. No company paid to be included, and we did not rank by review scores, which change often and are hard to compare across directories.
- AI agents are a stated service. The company offers agent or agentic AI development explicitly, not only general AI consulting.
- Engineering, not only strategy. It builds and integrates systems, not just roadmaps.
- Public evidence. Case studies, products or detailed service descriptions.
- Active in 2026. A live website and current AI work.
- International clients. Experience with US, UK or EU buyers.
- A mix of sizes and models. Enterprise consultancies, large engineering companies and small senior teams, because the right choice depends on your scope.
The order below groups similar firms together; it is not a quality ranking.
Best AI agent development companies in 2026
LeewayHertz
- HQ: San Francisco, USA
- Best for: Companies exploring multi-agent systems and LLM orchestration
- Website: leewayhertz.com
LeewayHertz describes itself as an AI consulting and development company building custom AI solutions. It is frequently listed for autonomous and multi-agent systems and publishes a large library of technical articles on agent architectures, which is useful reading before any vendor call.
Master of Code Global
- HQ: Redwood City, California, USA (offices in Canada, Poland and Ukraine)
- Best for: Customer-facing conversational agents for mid-market and large companies
- Website: masterofcode.com
Master of Code Global was founded in 2004 and positions itself as an AI consulting-led engineering partner for mid-market and large companies, with custom AI agents as a headline service. It is widely known for conversational AI and chatbots, which makes it a natural option when the agent talks directly to your customers.
Markovate
- HQ: San Francisco, USA
- Best for: Generative AI products and agentic features with a design focus
- Website: markovate.com
Markovate is a generative AI company working on agentic AI, LLM applications and MLOps, and it describes itself as design driven. It suits companies that want an AI feature shaped as a product experience, not only as a back-end workflow.
Tribe AI
- HQ: San Francisco, USA
- Best for: Enterprises that want senior AI specialists for strategy and implementation
- Website: tribe.ai
Tribe AI is an AI strategy and implementation partner founded in 2019 that works through a network of experienced AI specialists. Its positioning is taking enterprise AI "from ambition to production", which fits large organizations that need both advisory work and hands-on delivery.
RTS Labs
- HQ: Richmond, Virginia, USA
- Best for: US companies in finance, logistics and real estate that want a US-based team
- Website: rtslabs.com
RTS Labs describes itself as a boutique applied AI consulting firm that builds and operates AI agents, data engineering platforms and generative AI solutions. Its public materials highlight financial services, logistics and real estate, and a US-based team, which matters to buyers with strict data residency or vendor requirements.
Lytvynov Production (our company)
- HQ: Ukraine
- Best for: Startups and B2B companies that want an agent built into their product by a senior team, with a fixed quote
- Website: lytvynov-production.com
Lytvynov Production is a web, mobile and AI development agency founded in 2020 by Anton Lytvynov. We build agents on OpenAI and Anthropic Claude APIs with RAG, MCP servers and tool integrations, inside products built on PHP/Symfony and React. We also use agents daily: our own delivery runs on AI coding agents under senior engineers, and we build MCP servers for our internal project board and site CMS. Our own AI SaaS, AI Resume Master, reached 50,000 monthly active users. On Upwork we hold a 5.0 rating and 100% Job Success. Our minimum project size is $10,000, and we give a fixed quote after a short scoping call.
N-iX
- HQ: Valletta, Malta (founded in Lviv, Ukraine; offices in Poland, the US, the UK and other countries)
- Best for: Large companies that need AI agents alongside data, cloud and engineering at scale
- Website: n-ix.com
N-iX is a large software engineering company founded in 2002, headquartered in Malta with major engineering centers in Ukraine and Poland. Its current positioning is "pragmatic AI software engineering", and it covers AI, data, cloud and embedded work. It suits enterprises that want AI agents delivered by the same partner that handles their wider engineering.
ELEKS
- HQ: Tallinn, Estonia (founded in 1991 in Ukraine)
- Best for: Enterprises that need AI work combined with consulting, data science and security
- Website: eleks.com
ELEKS is an international software engineering and consulting company with offices in Europe, North America, the Middle East and Japan. Its services include custom software, data science, AI and cybersecurity. Long enterprise experience makes it a fit for regulated or complex environments where an agent has to pass security and compliance review.
Uvik Software
- HQ: Tallinn, Estonia (commercial office in the UK)
- Best for: Teams that need senior Python and AI engineers embedded in their own team
- Website: uvik.net
Uvik Software, founded in 2015, is an engineer-led company focused on Python, AI, data and back-end engineering, working mainly through staff augmentation. It suits companies that already have product and AI direction in house and need experienced engineers to build agent pipelines inside their own process.
Appinventiv
- HQ: Noida, India (offices in the US, UK, Australia and UAE)
- Best for: Enterprises that want a large delivery team for AI agents and wider digital products
- Website: appinventiv.com
Appinventiv is a large digital product engineering company founded in 2015, with a dedicated AI agent development practice covering strategy, design, development and integration. Its size suits enterprise programs where agents are one part of a larger digital product roadmap.
AI agent development companies compared
| Company | HQ | Focus | Best for |
|---|---|---|---|
| LeewayHertz | San Francisco, USA | Custom AI, multi-agent systems | Exploring multi-agent architectures |
| Master of Code Global | Redwood City, USA | Conversational AI, custom agents | Customer-facing agents |
| Markovate | San Francisco, USA | Generative and agentic AI products | AI features as product experiences |
| Tribe AI | San Francisco, USA | AI strategy and implementation | Enterprise AI programs |
| RTS Labs | Richmond, USA | Applied AI, agents, data engineering | US-based team for regulated sectors |
| Lytvynov Production | Ukraine | Agents in Symfony and React products, MCP | Senior team with a fixed quote |
| N-iX | Valletta, Malta | AI, data, cloud engineering at scale | Large companies, wider engineering |
| ELEKS | Tallinn, Estonia | Engineering, data science, AI, security | Complex or regulated environments |
| Uvik Software | Tallinn, Estonia | Python and AI engineers | Embedding engineers in your team |
| Appinventiv | Noida, India | Digital product engineering, AI agents | Large enterprise delivery |
What should you ask an AI agent development company?
Ask about what happens when things go wrong, because that is where agent projects succeed or fail. Any capable firm can show a happy-path demo; the difference shows in how it answers questions about permissions, failures and cost.
- Actions and permissions. Which tools will the agent have, with what access, and which actions need a human to approve them?
- Evaluation. How will you test the agent before launch, and how do you re-test after every prompt or model change?
- Failure handling. What does the agent do when a tool call fails, returns bad data or the model is unsure?
- Security. How do you protect against prompt injection, especially when the agent reads emails, web pages or user input?
- Observability. Will we see every step the agent took, with inputs, outputs and costs, in a log we can search?
- Running costs. What will the agent cost per month at our volume, and how are costs capped per user or per task?
- Ownership. Will prompts, evaluation sets, code and API accounts be ours?
For a broader scorecard that works for any AI vendor, see our guide to choosing an AI development company.
Enterprise consultancy, engineering company or boutique team?
The three types of firms on this list solve different problems. An enterprise AI consultancy is strongest when the hard part is deciding where agents belong across a large organization. A large engineering company is strongest when agents must plug into many systems with formal security review. A small senior team is strongest when you need one well-scoped agent built into your product quickly.
| Situation | Usually the best fit |
|---|---|
| AI strategy across many departments | Enterprise AI consultancy |
| Agents across many legacy systems, formal vendor review | Large engineering company |
| One agent or agent feature in your product, clear scope | Boutique or mid-size senior team |
| You have AI leads, need more hands | Staff augmentation firm |
Most first agent projects fall in the third row: one workflow, a few tools, a clear owner and a measurable outcome. Starting there lets you learn what agents do well in your business before committing to a larger program.
What does a good first AI agent project look like?
A good first AI agent project automates one workflow with a clear owner, uses a small number of tools, keeps a human approval step for any action that moves money or contacts customers, and has a test set of real examples that defines success. Scope like this can be delivered in weeks, not quarters.
Examples from our own work show the pattern. In our autonomous drone swarm prototype, field analysis turns into tasks that the fleet picks up on its own, without a dispatcher routing each one. In the flower subscription service, a Telegram bot takes orders in an eight-step chat and the CRM dispatches couriers through the Uklon API with status callbacks moving each order forward. In the AI Grief Companion, retrieval over a fact graph and chat history gives the model a long-term memory. Each is a narrow loop with clear inputs, actions and checks.
How much should you budget for an AI agent?
Budget for two numbers: the build cost and the monthly running cost. The build cost depends on the number of tools and integrations, the level of autonomy, the evaluation work and the interface around the agent. The running cost depends on model choice, volume, context length and caching.
Our AI agent development cost guide gives typical ranges for both, including build vs buy. Our own agent projects start from $10,000. If you are unsure whether you need an agent or an MCP server that lets existing assistants use your system, read what an MCP server is first; sometimes the smaller option solves the problem.
Next step
If you are comparing AI agent development companies, send the same one-page brief to three of them, including us: the workflow, the systems involved, the actions the agent may take and who approves them. Describe your project through the contact form or get a first range from the price estimate form. After a short scoping call you receive a written scope and a fixed quote.
