nanoBitas
Engineering since 1996 · AI since 2026

High-quality AI solutions for your business

Business process experience, an engineering team and modern AI technology — three foundations for practical automation.

What we are proud of
Long-standing international experience More than 20 years of IT project experience across Lithuania, the USA, Scandinavia and Western Europe.
Understanding business needs We understand business; technology is our toolkit. We work with promising start-ups and international organisations.
Deep technical knowledge We often work with open-source technology and choose tools according to the task, rather than a single platform.
Trusted by
SEBSEB MercerMercer ShiseidoShiseido U.S. BankU.S. Bank TamroTamro RevieveRevieve AgmisAgmis Via LietuvaVia Lietuva FegdaFegda EthosEthos SonaroSonaro NewsecNewsec EvitlyEvitly SEBSEB MercerMercer ShiseidoShiseido U.S. BankU.S. Bank TamroTamro RevieveRevieve AgmisAgmis Via LietuvaVia Lietuva FegdaFegda EthosEthos SonaroSonaro NewsecNewsec EvitlyEvitly
Services

Which situation sounds familiar?

From repetitive workflow automation to a multi-agent assistant — one engineering foundation, two starting points.

Technology

Technologies we work with

Technology for production systems, from legacy maintenance to modern AI models.

OpenAI Anthropic Gemini Mistral LangChain CrewAI AutoGen Hugging Face PyTorch TensorFlow Ollama n8n Make Zapier Pinecone LlamaIndex Temporal Airflow Vercel AI SDK Groq .NET SAP SQL Server Git React GitLab Jira Linux Flutter Spring Vue Kotlin AWS Go PostgreSQL GraphQL NestJS PHP Node.js Kubernetes Azure Docker MongoDB Elasticsearch MySQL JavaScript C# Oracle Google Cloud HubSpot Swift Laravel Redis Figma Power BI Kafka Selenium TypeScript SharePoint Python Terraform Dart Angular Sonar Java Nginx Jenkins RabbitMQ Salesforce Symfony
Before and after

Illustrative invoice workflow — two different outcomes

11 steps
by hand
1 — Invoice arrives by email 2 — Download and rename it 3 — Enter it into accounting 4 — Find the matching order 5 — Check with the warehouse 6 — Email it for approval 7 — Remind the approver 8 — Upload it to the ERP 9 — Check it again 10 — Register the payment 11 — Archive the document
30 h/week Example error rate: ~6%
→
3 steps
with automation
1 — The system reads the invoice and matches it to the order 2 — A person reviews exceptions (8% in this example) 3 — The record and payment preparation appear in the ERP
2 h/week Example error rate: <0.3% Example: −28 h/week
More about AI process automation →
Our process

How a project runs

01 Discovery Measure the current workflow: steps, time and cost. 1–2 weeks
02 Design Design the new workflow and integration points. 1 week
03 Implementation n8n, Make, Power Automate and LLM APIs to fit your environment. 2–4 weeks
04 Testing and training Parallel operation, failure scenarios and team training. 1 week
05 Support Monitoring, optimisation and additional scenarios. Ongoing
Security

Data, security and compliance

Project agreement Data location Infrastructure and data location are agreed before implementation. AWS EU regions →
Project agreement Model training Provider terms and data use are documented in the contract. Anthropic terms →
Project agreement GDPR and DPA A data processing agreement, access control and activity records. GDPR information →
Project agreement EU AI Act Assess the risk category and document the solution. EU AI Act, official text →
Get in touch

A 30-minute call to clarify your next steps.

Choose a process that needs improvement. We discuss whether automation could help, the likely scope and expected value, without pressure to commit.

+370 670 03888info@nanobitas.lt
We respond within one working day. An NDA can be arranged before the call.
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