Everything from the first scrape to the system that runs for years.
We don't sell a fixed product. We build the specific thing your problem needs - and we have the range to match the right approach to it. Here's what that usually looks like.
Intelligent Automation
Plenty of work is too messy for rigid rules: free-text emails, inconsistent documents, judgment calls. We bring AI and large language models into the pipeline to read, classify, extract and summarize - then hand structured, trustworthy output to the rest of the system.
- Document & email understanding - pull fields and intent from unstructured text
- Classification, routing and tagging at volume
- Summarization and enrichment that adds context to raw records
- Human-in-the-loop checkpoints where a decision really matters
Web Scraping & Data Extraction
This is where Vynux cut its teeth. We build extraction pipelines across a wide range of sources and know, in practice, how to handle scale, anti-bot defenses and the endless inconsistency of real-world formatting.
- Search engines, business directories & professional networks
- Financial data platforms and mapping / location services
- Resilient crawling that survives blocks, rate limits and layout changes
- Clean, deduped, enriched output - delivered as files, APIs or straight into your database
Robotic Process Automation
If a person is clicking through the same screens every day - copying between a portal and a spreadsheet, re-keying orders, generating the same report - that's a bot's job. We automate the repetitive desktop and web work so your team gets the hours back.
- Browser and desktop automation, including legacy apps with no API
- Form filling, data entry, downloads, report generation
- Scheduled, unattended runs with logging and failure alerts
- Built with Playwright and .NET for stability at scale
Chat Bots - Telegram, Teams & more
Not every tool needs a dashboard. We build bots that live inside the chat apps your team already uses, so people can trigger actions, get answers and approve things without leaving the conversation.
- Telegram bots - alerts, lookups, on-demand reports, command-driven actions
- Microsoft Teams bots - approvals, notifications and internal tooling
- Slack & Discord bots for ops, monitoring and community workflows
- Optionally AI-powered, so the bot understands plain-language requests
Browser Extensions
Sometimes the most useful place for automation is the exact page your team is looking at. We build custom Chrome and Edge extensions that capture, transform or inject data in-context - turning manual copy-paste into a single click.
- One-click capture of data from any web page into your systems
- On-page enrichment - pull in extra context next to what you're viewing
- Internal tools distributed to your team, not the public store
- Secure handling of credentials and private data
Integrations & Data Pipelines
Most businesses don't have a data problem so much as a connection problem - the right information exists, it's just stuck in systems that don't talk. We build the integrations and pipelines that move clean data from where it is to where it's useful.
- API and webhook integrations between SaaS tools, CRMs and databases
- ETL pipelines - extract, transform, load on a schedule or in real time
- MongoDB-backed storage for flexible, evolving data
- Sync, reconciliation and alerting so data stays trustworthy
The right tool for each problem.
We're not married to a single framework. Range is the point - it lets us match the approach to your requirements instead of the other way around.
Common questions
Do you only do the things listed here?
No - these are the patterns we hit most often, but we work build-to-spec. If your problem involves repetitive manual work, fragmented data or an inefficient workflow, it's worth a conversation even if it doesn't fit neatly into one of these boxes.
Is scraping the data you collect legal and reliable?
We build extraction responsibly and focus on reliability - handling scale, blocks and inconsistent formats so the data you get is clean and dependable. We're happy to talk through the specifics and constraints of your particular sources up front.
How do projects usually start?
With a short conversation about the problem. We scope it tightly, agree on what success looks like, then build in iterations so you see working software early rather than waiting on a long, opaque process.
What happens after delivery?
We hand over something documented and maintainable, with monitoring and alerting in place so it can run unattended. We can stay involved for maintenance and changes, or hand it off cleanly to your team - your call.
Tell us what you'd automate first.
Describe the problem in a sentence or two. We'll tell you whether it's a fit and how we'd approach it.