Process and data automation
We connect your tools, collect and check the data you need, and build the reports nobody wants to make by hand. Anything that reaches your customers or core systems is approved by a person first.
Real run · 219 articles: rules first, then AI
Finding growing companies by reading news sites and registers by hand takes hours every morning.
10 Lithuanian news sources (VŽ, Delfi, 15min, LRT, Lrytas, Google News and more), deduplication, AI filtering, and one morning email with Registrų centras, Sodra and public procurement data for each lead.
Python · RSS feeds · LLM filtering · SendGrid · Docker
For: B2B sales · Lithuania
Outbound email to unchecked lists bounces, lands in spam and damages the sending domain.
Company data from KRS, CEIDG and Rekvizitai.lt, merged and deduplicated, mailbox verification, SPF / DKIM / DMARC set-up, and Polish email sequences for several brands.
Python · Public registers · SMTP checks · DNS authentication
For: Outbound and data · Poland
FAQ
Anything with an API, a database, an email inbox, a web interface or a file export. If an older system has no API, we work from its scheduled file exports.
Company-level data from public registers such as KRS, CEIDG, Registrų centras and Rekvizitai.lt: company codes, sectors, headcount, addresses and decision-maker roles. We clean it, remove duplicates, check it and deliver it as a file or straight into your CRM.
No. We collect company data from public registers and check lists you already have the right to use. We also set up SPF, DKIM and DMARC and verify mailboxes, so your own outreach reaches the inbox.
Every automation we ship has its own checks. If a source changes its format or API, you get a clear alert, not a silent gap in your data.
One to three weeks for one problem: one workflow, one AI pipeline or one part of your test suite. Scope and price are fixed before we start.
You do. Everything is built in your repositories and accounts, with documentation and a handover call so your team can run and extend it without us.
First step
Pick a time and tell us what is stuck: manual data work, flaky releases, untested APIs or an AI idea that never reached production. No commitment.