Data and AI engineering for mid-market operators

We build data pipelines and private AI infrastructure for mid-market teams.

ZeroSlide automates the manual data work behind your operation and puts AI on infrastructure you control.

Book an intro call See the use cases

For distribution, e-commerce and manufacturing: Automation
For healthcare, fintech and regulated teams: Sovereign AI with HIPAA, SOC 2 and the EU AI Act

Founder of ZeroSlideBuilds every project hands-on.

Client project: catalog update from 3 weeks to 10 minutes
We run Matproof and AppealHound ourselves

Why ZeroSlide

We ship systems that run.

Code, not slides
You get a running ETL pipeline and containerized AI services, ready for production.
Built onto your legacy stack
Your ERP stays. We get the data out of it and hand it to the systems that need it.
Compliance by design
Your data stays in your network or in the region you choose. Logs and evidence are produced on every run.

What we do

Two tracks.One team.

One track removes hours of manual work. The other makes AI usable at all when the data is sensitive. Most clients need both.

Track 1

ZeroSlide Automation

We take your team off copy and paste.

For distributors, e-commerce and manufacturers. We build the path between supplier data, ERP and storefront.

Product data enrichment into your PIM
PDF and spreadsheet extraction (IDP)
ERP integration with no system swap
Data checks on every run

See Automation

Track 2

Sovereign AI & Compliance

Use AI without handing your data away.

For healthcare, fintech and any regulated operator. AI on your infrastructure, with an audit trail that holds up.

Local LLMs on-premise or in your own cloud account
Every request logged automatically
Cryptographic data lineage
Evidence for HIPAA, SOC 2, GDPR and the EU AI Act

See Sovereign AI

Before and after

Two situations we keep running into.

The first case comes from a client project. The second shows what the architecture guarantees: the data stays in your network.

Distribution and e-commerce: product data

3 weeks to 10 minutes

Before

Four people maintain product data from 200 suppliers by hand.
Every price list arrives as a PDF or spreadsheet, each one structured differently.
A catalog update takes three weeks.

After

The pipeline reads PDFs and spreadsheets on its own.
Fields are mapped, validated and enriched.
Structured data lands in the PIM in ten minutes.

3 weeks to 10 minutes · turnaround per catalog update

Healthcare and regulated teams: AI at the desk

0 bytes

Before

Staff retype data or quietly paste it into ChatGPT.
Protected data leaves the building with no control.
Compliance cannot show what actually happened.

After

A local LLM summarizes records on your own servers.
No record leaves your network.
The log export goes to compliance automatically.

0 bytes · of protected data leaving your network

Stack

What we build with.

Docker
Python
PostgreSQL
On-premise and regional cloud
Matproof for continuous compliance evidence

We work with the systems that already run at your company. The code is yours.

Calculator

What does the manual work cost you?

Set how much time goes into manual data work today. The calculator shows what a pipeline could take over.

People doing manual data work3 people

Hours per person per week10 h per week

Fully loaded cost per hour$55

Share a pipeline takes over60 %

value per year: $45,540
hours freed per year: 828
full-time roles: 0.5

An estimate from your inputs, not a quote. Based on 46 working weeks and 1,650 hours per full-time role. The data check shows what share is realistic for you.

Questions

What people ask before the first call.

Do we have to replace our ERP or PIM?

No. We build on what already runs and connect through API, database or file export. A system replacement is never a precondition.

Where does our data live?

In your building or in a cloud account you own, in the region you choose. With Sovereign AI, no record leaves your network.

When do we see a first result?

The pilot runs on one data source, end to end. In two to three weeks you see the result inside your own system.

Who owns the code?

You do. Everything sits documented in your repository. You can carry on without us at any point.

What happens after the intro call?

You get an honest read on your case. If it is not a fit, we tell you.

Where does the manual work sit in your operation?

Send us two sentences. You get a reply within 24 hours with a first read on it.