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AI that takes routine work off your team
AI agent development services
An AI agent is software that completes a task end to end: it reads inputs, calls your tools and APIs and returns a result. We build agents that analyse calls, process documents and answer internal questions, with guardrails, evals and humans in the loop.
Want AI inside the product your customers use? See AI product development →
Need the whole back-office tool, not just the agent? See business automation →
Two ways we build with AI
Related service
AI product development
AI inside your product: your users see it and use it.
An AI coach in a fitness app, smart search in a marketplace, an assistant in your SaaS.
Explore AI product development →You are here
AI agents & automation
AI that works for your team: it takes routine operations off their plate.
Call analysis, document processing, internal knowledge copilots.
Our work in numbers
We've built AI features and agents for products that have collectively raised $535M in funding.
250 +
projects launched
150 +
clients worldwide
80 +
engineers, designers & AI specialists on our team
$535m
total funds raised by our clients
Our clients
150+ companies have trusted us to build their products — from seed-stage startups to publicly traded brands.
Our awards and recognitions
80+ industry awards since 2017 — including top AI and software development rankings on Clutch and
GoodFirms across Europe and North America.
Top Artificial Intelligence Companies in Ukraine
2025
Best AI ChatGPT Developers in Ukraine
2025
Top Artificial intelligence company in Estonia
2025
Top Custom Software Development Companies in Ukraine
2021
Top 10+ Software Development Companies in Ukraine
2025
Best digital designers in Ukraine
2022, 2021
Top Product Design Companies in Ukraine
2025
Where AI agents pay off
We start from the task your team repeats every day, not from the model.
Call & meeting analysis
Agents that transcribe, summarise and score sales or support calls in real time, so managers review results, not recordings.
KAI case
Patient follow-up calls
A voice agent calls clinic patients after a visit, asks how they feel, fills in the follow-up form and books a new visit when someone reports feeling worse.
Email reply triage
An agent watches replies to email campaigns, spots interest, questions and anything that needs a person, and drafts answers ready to send.
Property investment analysis
An agent reads property-management financial documents in any format, builds a report and a projection of whether an investment is worth it, and shows the results in the clearest form for each user.
Document & data processing
Agents that extract, classify and check data from contracts, invoices and forms, and pass it into your systems.
Internal knowledge copilots
Assistants that answer your team's questions from your own documents and wikis, with sources for every answer.
Patient intake questionnaires
A friendly chat assistant guides patients of a mental-health practice through their first intake form, one question at a time.
One-click tool connections
An agent hub that connects different MCP servers in one click, so a single assistant can work across all your tools at once.
Have a routine task in mind?
Tell us what your team repeats every day, and we will show you what an agent can take over.
Book a free 30-minute AI scoping callOur approach
A demo agent is easy. One your team can trust every day needs the right model for each task, guardrails, your existing tools and monitoring after launch.
1.
Company plans from OpenAI and Anthropic, which don't train models on your data, or self-hosted Llama and Mistral for sensitive workloads.
2.
Each agent has limits on what it may do, checks on its answers and a test set we rerun before every release.
3.
Agents work inside the CRM, helpdesk, docs and chat your team already uses, through their APIs.
4.
We track answer quality, failures and inference cost in production, and adjust the agent as your data changes.
From proof of concept to production
01
Proof of concept
A working agent on your real data, so you see what it can and can’t do before committing. Find out more about our discovery phase services
02
Production build
Integrations with your systems, guardrails, evals and an interface your team actually uses.
03
Monitor and improve
We track quality and inference cost, and improve the agent as your data changes.
AI-powered delivery for your agents
The same AI-assisted workflow we use on every project, with engineers reviewing every change.
Figures reported by NERDZ LAB project teams, comparing work before and after they adopted AI-assisted development.
Calculate cost of your project
Get an instant estimate based on your project requirements. Just enter a few details and see the projected cost right away.
Case studies
AI agents and AI products we built and run in production.
Find out more about our AI cases
Explore Our Portfolio
Browse our projects for a comprehensive look at our capabilities, helping you determine if we're the right fit.
Client testimonials
Mike Crompton
Founder and Angel Investor, Summit Digital Marketing
Vitalii Khyzhniak
Co-Founder, Discount company
Alex Simpson
Co-Founder and CEO at Fuze
Manuel Pena
Co-Founder Lucky Universe
Pawel Alva
CEO at Better World International
Nathan Langen
Director, Spirit of MathRead more reviews on Clutch
See all Clutch reviews See all Clutch reviewsFAQ
What’s the difference between a chatbot and an AI agent?
A chatbot answers questions in a conversation. An AI agent completes a task: it reads documents, calls your systems through APIs and takes an action, with guardrails and human review where needed.
Which models do you use?
We pick the model per task. Most agents run on OpenAI or Anthropic models; for sensitive data we can self-host open models such as Llama or Mistral. One agent can use several models when different steps need different strengths.
How do you stop an agent from making mistakes?
Every agent gets limits on what it is allowed to do, checks on its answers and a test set of real examples that we rerun before each release. Actions that matter, such as sending a message or changing a record, can wait for a person to approve them. After launch we monitor failures and fix the cases the agent gets wrong.
How much does AI agent development cost?
AI agents usually start from about $5,000. After a 2–4 week proof of concept, a production build takes 3–8 weeks. The price depends on how many systems the agent connects to, the data it works with and how much human review it needs. Get a free AI estimate for your idea.