The intelligence department your company can’t afford to hire. Installed on your server.

0data watches thousands of sources day and night, cross-references the outside world with your own data, answers with the evidence in front of you and learns from every hit and every miss. With AI models that are yours, and without a single byte leaving the house.

  • 570+ sources ready to switch on
  • 200+ automatic flows running
  • 100s M documents under control
  • 6 wks to your first use case

You don’t have an AI problem. You have five chained problems.

Pick an area and see if it sounds familiar. Every symptom has its answer.

Monitoring

  • You find out too late about regulatory changes, competitors or incidents. → Continuous monitoring with same-day alerts, filtered by what affects you.
  • Someone spends hours every week copying data from websites and gazettes. → Automatic sources that work on their own, each at its own pace.
  • Monitoring depends on one person: when they’re on holiday, it stops. → A system that never sleeps and keeps a history of everything.
  • You don’t know who uses your brand or what is said about you. → Look-alike domains, mentions and reputation, in one place.

Data

  • Data lives in ERP, CRM, spreadsheets, PDFs and APIs that don’t talk. → One common base where inside and outside data meet.
  • There are scanned documents nobody can search. → OCR and search by meaning, not just by word.
  • The dashboard is green while the data has stopped arriving. → Every source watched against its own rhythm: if it goes quiet, you know.
  • Nobody knows where a figure comes from. → Full lineage: source, date and every transformation.

AI

  • The AI project is stuck because data can’t leave the company. → Models that run on your machine. Nothing leaves.
  • Generic AI doesn’t understand your sector or your codes. → Models specialized with your own data.
  • AI makes up figures and nobody notices. → Every name and figure checked against the source before it is shown.
  • You pay per query and the cost keeps growing. → The right model for each task, and your own ones with no per-query cost.

Control

  • The committee kills projects over GDPR and data sovereignty. → Everything on your infrastructure, with documentation for the committee.
  • You can’t prove who accessed what, or when. → A chained audit log that can’t be altered unnoticed.
  • Personal data reaches AI tools unfiltered. → A barrier that pseudonymizes it before any model.
  • Employee credentials appear in leaks and nobody notices. → Leak monitoring with an alert as soon as they show up.

Operations

  • Too many identical alerts: the team has muted them. → Grouping, quotas and alerts only when something is unusual for you.
  • There is no single view of what is happening in your operation. → One operational map with everything, in real time.
  • Critical decisions aren’t backed by data. → Every decision with its evidence, source and date.
  • Data projects take years. → First use case running in six weeks.

One platform. Five layers working together.

What the big platforms sell piece by piece, in multi-year projects and in their cloud, comes here assembled and running on your server.

Data: Everything that happens, collected

  • More than 570 external sources ready to switch on
  • Connection to your systems and documents (with OCR)
  • New sources requested in plain language
  • Full-text, semantic search and a relationship graph
  • Sources watched against their own rhythm

AI models: The right one for each task

  • Local language models on your hardware
  • Automatic routing between the cheap model and the capable one
  • Classification, decisions with probability, forecasting and vision
  • Anti-hallucination validator: no source, no claim

Learning: Knows if it’s right, and improves

  • Every alert is a prediction checked afterwards
  • Thresholds recalibrated with your own history
  • Models specialized with your data, yours to keep*
  • Earned autonomy: only what has proven to work is automated

Governance: Who sees what, who did what

  • Installed on your infrastructure, even offline
  • Real isolation per organization, failing closed
  • A personal-data barrier before any model
  • Chained audit log, sealable in immutable storage
  • Human approval for anything with consequences

Everyday use: What your team sees

  • Mobile alerts with context and a recommendation
  • Plain-language questions over all your data
  • Agents that investigate on their own and bring conclusions
  • Reports and bulletins that send themselves
  • API and webhooks into your tools

* Training your own models is available in beta.

See the full dissection, layer by layer

Your personal data never reaches a model

Before any text touches any AI, local or external, personal data is detected and replaced with a code. The model reasons just as well; what it can’t do is leak what it never saw.

A green dashboard doesn’t mean data is arriving

On our own platform, a source spent 67 days bringing in nothing while its process showed green every three hours. Since then 0data also watches its sources, each against its own rhythm. Try it:

Applications ready for your problem

We don’t start from scratch: each area comes with its sources, alerts and screens already built.

Competitive and brand intelligence

  • Competitors’ websites, prices, news and technology
  • Domains imitating your brand
  • Press and social mentions

Cybersecurity without a security team

  • What you have exposed on the internet
  • Vulnerabilities that really affect you, prioritized
  • Leaked credentials and what to fix first, jargon-free

Regulation and compliance

  • Gazettes and regulators filtered by what concerns you
  • Same-day alert on publication
  • A searchable, defensible history

Market and geopolitical risk

  • Impact of crises on commodities and assets
  • Relationships measured, with their margin of error
  • Markets and prediction markets

Critical operations and situation room

  • Emergencies, infrastructure, fleet and territory
  • Everything on a map, with alerts when something is unusual
  • Demand, traffic and air quality forecasting

Corporate and company data

  • Companies, groups and properties connected
  • Smart search over deeds and filings
  • Opportunities: auctions and tenders

Nine modules on the same core

  • Radar (Detects): Continuous monitoring of thousands of open and proprietary sources.
  • Fusion (Connects): Cross-references the outside with your data and resolves entities.
  • Copilot (Investigates): Natural-language questions over the whole corpus.
  • Command (Decides): The operational board where decisions are made and logged.
  • Core (Thinks): Proprietary models trained on your history.
  • Views (Shows): Dashboards and maps on the same data.
  • Studio (Builds): Your team assembles its own flows, agents and screens.
  • Kompliance (Complies): Vulnerabilities and compliance: ISO 27001, CRA and ENS.
  • VaultChat (Converses): Secure conversation over sensitive documents.

What changes compared with a traditional platform

  • Where your data lives: In their cloud → On your server, even offline
  • AI models: Rented and generic → Local, specialized and yours
  • First result: Months or years → Six weeks
  • Does it know if it’s right?: No → Checks every prediction and recalibrates
  • Control: Configured once → Chained audit, lineage and human approval
  • External sources: You integrate them → 570+ already running
  • Cost: Big-platform licenses → A fraction, with no per-query cost on your own models

Eight reasons to stop renting intelligence

  • Your data stays home. Not to an AI vendor, not even to us.
  • Weeks, not years. First use case running in six weeks.
  • We don’t start from zero. 570+ sources and sector applications already built.
  • Models you own. Installed on your machine, not rented.
  • Knows if it’s right. Measures every prediction and improves on its own.
  • Full control. Audit, lineage and human approval.
  • A fraction of the cost. Compared with the big intelligence platforms.
  • No lock-in. Open models and your own infrastructure.

One case. Six weeks. Fixed price.

The platform is already built. What we do with you is your case; then come the next one and the next, on the same base.

  • Day 1 · One case: The problem that costs you most today: what you found out too late, or the AI project stuck on privacy.
  • Weeks 1-6 · Running on real data: On your infrastructure, with your sources. Not a mock-up.
  • From the start · Fixed price: No surprises and no growing hours.
  • Week 6 · We measure it together: Alerts delivered, hits and hours saved. No brochure percentages.

It fits your sector because it was built for it

Defense and national security · Public safety and policing · Critical infrastructure · Financial services and compliance · Enterprise cybersecurity · Government and public administration · Strategic intelligence and geopolitics · Public health and pharmacovigilance · Energy and utilities · Retail and consumer goods · Insurance and parametric risk

What the platform does, shown rather than told

What people usually ask us

How is it different from using ChatGPT or Copilot?

Those answer when you ask, with a model that isn’t yours and on data that leaves the house. 0data watches when you aren’t asking, works on your data inside your infrastructure and can use models trained on your own history.

Do we have to migrate our data?

No. It is installed on your infrastructure or in a sovereign cloud and connects to what you already have — ERP, CRM, documents, sensors, SIEM — as it is.

Do we need GPUs or a data center?

Not to start: many cases run on a standard server. Dedicated hardware is only needed to train your own models or for large workloads, and we size it beforehand.

We already have a data lake or Power BI.

We build on it. 0data connects to what you have, adds external data, AI and control, and alerts you if the data behind your dashboard stops arriving.

How do we comply with GDPR and our security committee?

Data on your server, pseudonymization before any model, per-user access control and a chained audit of every action. We prepare the documentation for the committee.

Does the AI make things up?

Every figure and every name in a report is checked against the source data before it is shown. No source, no claim.

We don’t have a technical team.

You don’t need one. Alerts reach your phone in plain language; the technical side is ours.

Can we use just one module?

Yes. KOMPLIANCE, for example, is used on its own for vulnerability and compliance management.

KOMPLIANCE, the vulnerability and compliance module · Book a 30-min demo