AI agents and automation
Autonomous flows that close manual steps end to end, instead of prompting a human to do them.
AI agents, integrations and data pipelines. We build the system, ship it to production and keep it running, instead of leaving you with a prototype.
Six things we do end to end, from the first call to a system your team uses every day.
Autonomous flows that close manual steps end to end, instead of prompting a human to do them.
CRM, webhooks, messengers, APIs and databases wired into one working loop.
We pull data from places with no public API. These are the tasks most teams turn down.
Metrics from scattered services on one screen, with filters shaped around how your business thinks.
From idea and architecture to live users. We have already taken our own product that whole route.
Subscriptions, plans and checkout, crypto included. Idempotent webhooks, not the flaky kind.
Three projects we can talk about openly. Work under NDA is discussed on a call.
AI translator for the browser: pages, subtitles, documents and what you type, in 100+ languages.
The language barrier slows down reading and communication across the web, and ordinary translators lose tone and context.
One extension that translates web pages, selected text, whatever you type in any field, video subtitles and whole documents, with AI voice on top.
1000+ users and growing, live in the Chrome Web Store, with a free plan and paid subscriptions.
Custom dashboards with data collection and analytics for business.
Business data sat scattered across services and spreadsheets, with no single place to see what was happening.
Dashboards that pull from APIs, databases and parsers into one place, with metrics, charts and filters built for that business.
The team sees key metrics in real time and decides on data instead of guesswork.
Tender parser, marketplace auto-publishing and data collection on Browser Automation Studio.
The business lost hours every day: hunting tenders by hand, filling product cards on marketplaces, collecting data manually.
A tender parser that monitors platforms and filters by criteria, auto-publishing that fills product cards, plus 20+ other automations.
Tenders are found and sorted automatically, cards go live without manual entry, hours of routine disappeared.
Five steps, in this order. The first one can end the project, and that is the point of it.
We measure what the process costs you today, in hours and in money. If automation will not pay that back, you hear it on the first call.
We show what the system is made of, what it costs and how long it takes, before any code is written.
We work in iterations, so you watch progress instead of waiting in silence until the deadline.
We deploy on your data and your accounts, then walk your team through using it.
We stay reachable. A system that breaks a month later is not a result.
Five claims, all of them checkable.
Swiftin: 1000+ users, paid subscriptions, live in the Chrome Web Store. We have walked the whole route, not just the client-facing pieces of it.
Architecture, code, infrastructure, payments, launch. Nothing gets lost in a handover between teams.
Reverse engineering and parsing outside the happy path, and unfamiliar stacks without flinching.
No quitting halfway. We ship it and then we keep it alive.
If a task will not fit the deadline or will not pay for itself, you hear that before the work starts, not after.
Veloris Lab is a small engineering bureau. Small is the feature: nothing is thrown over a wall between departments.
Behind it is Denys Kandyba, a forward deployed engineer: the same person designs the system, writes it, and picks up the phone when something breaks. First code in 2014, automation from 2023, working with AI full time since 2024.
About the founderWrite on Telegram or by email. We usually reply the same working day, timezone UTC+4.