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BUILD-TO-SPEC Automation & data engineering

Turn messy data and manual work into systems that just run.

Vynux is a small, hands-on engineering firm. You bring the problem - fragmented data, repetitive tasks, brittle workflows - and we design and ship a solution built around it.

6+
data sources mastered
4
core languages & runtimes
1:1
direct with the engineers
What we build

One partner for the whole automation problem.

From the first scrape to the system that runs in the background for years - we cover the full path from raw, uncooperative data to something your business can actually use.

Intelligent Automation

AI woven into the workflow - classify, extract, summarize and decide on unstructured inputs that rule-based systems choke on.

Web Scraping & Data Extraction

Reliable pipelines across search engines, directories, professional networks, financial platforms and maps - at scale, past anti-bot measures.

Robotic Process Automation

Bots that drive the apps your team uses by hand - forms, portals, spreadsheets, legacy tools - so the repetitive work runs itself.

Bots - Telegram, Teams & more

Chat-native tools for Telegram, Microsoft Teams, Slack and Discord: alerts, lookups, approvals and on-demand actions where your team already talks.

Browser Extensions

Custom Chrome and Edge extensions that capture, transform or inject data right inside the pages your team works in every day.

Integrations & Pipelines

The connective tissue between systems that don't talk - APIs, webhooks and data pipelines that move clean records where they need to go.

Why it holds up

We've already met the hard parts of data extraction.

Pulling reliable data from sources that don't want to be pulled from is its own discipline. We've spent real time on scale, anti-bot defenses and the endless inconsistency of formats - so your project starts from experience, not from scratch.

  • Rotating, resilient crawling that survives blocks and layout changes
  • Normalization, deduping and enrichment that turns scraps into clean records
  • Monitoring and retries so a silent failure doesn't become stale data
How we work

Pragmatic engineering, direct communication.

No layers of account managers, no heavy process for its own sake. You talk to the people building your solution, and we pick the right tool for the job rather than forcing every problem through one framework.

  • The right stack per project - .NET, Python or JavaScript as the problem demands
  • Scoped tightly so you see working software early, not a six-month black box
  • Built to be maintained, handed over and trusted to run unattended
Scale
Pipelines built for volume, not demos
Reliability
Retries, monitoring & alerting baked in
Clarity
Direct line to the engineers
Fit
Built to your spec, not off a shelf
How a project runs

From problem to running system in three moves.

01

Scope

We dig into the actual problem - the sources, the volumes, the edge cases - and agree on exactly what success looks like before any code is written.

02

Build

We engineer the solution in tight iterations, choosing the right stack and showing you working pieces early so the direction is never a surprise.

03

Deliver & run

We ship it, hook in monitoring, and hand over something documented and maintainable - built to run unattended and to grow as you do.

Let's build it

Have a repetitive problem worth automating?

Tell us what's eating your team's time or where your data lives. We'll tell you straight whether - and how - we can automate it.