curiosity

Built in Munich · Runs in your data center

Build enterprise AI
by describing it

Curiosity Studio turns a sentence into working internal software, grounded in your company’s connected data, inside the permissions you already run, on your own infrastructure.

Deployment On premises or private cloud Model Any model Data Stays in the region you choose Compliance GDPR compliant

A described tool becoming a running application on the context graph A request passes through Curiosity Studio and becomes a working internal application with a chart and a result list. Beneath it, the context graph routes tickets, part data, supplier notices and field reports into one answer. CURIOSITY STUDIO Supplier risk · A320 line OPEN ISSUES BY PLANT TICKETNOTICEREPORT CONTEXT GRAPH ANSWER TicketsPart dataSupplier noticesField reports
A description becoming a running internal tool A written request passes into Studio and becomes a working application, standing on tickets, part data and supplier notices. STUDIO Supplier risk BY PLANT YOUR GRAPH Tickets Part data Supplier notices

Describe it. Ship it.

  1. 01 A sentence
  2. 02 Your graph
  3. 03 Running software

Grounded in your data. Inside your permissions.

Trusted in complex environments

The problem

Every team needs its own tool. Almost none of them get built.

The request is always the same shape: a small internal tool that reads from four systems and answers one recurring question. It queues behind a roadmap for two quarters, and by the time it ships the process it was built for has moved on.

01

The backlog

A six-week build request queues behind a two-quarter roadmap.

02

The spreadsheet

The team gives up and rebuilds the answer by hand, every week.

03

The dead prototype

A demo that worked on sample data never survives real systems or real permissions.

In production

Numbers from live deployments

Customer Stories

30TB+

Connected across enterprise systems in production

20K+

Active users across enterprise deployments

15%+

Efficiency gain in production workflows

“At Airbus, we developed the next generation of customer support AI assistance tools with Curiosity, enhancing our technical support’s ability to access and navigate through vast data from multiple sources.”

Services Innovation Team, Airline Services

Read the story →

Wayra Germany
“I’m thoroughly impressed by Curiosity’s ability to boost our productivity.”
CPI
“We’re amazed. We’re analyzing documents for an investigation and Curiosity has been great!”
ActiveEngine
“Curiosity has been a total game changer for running my agency.”
guud
“Curiosity quickly understood how our business works and translated that into a system that truly supports our mission.”

How Studio works

From a sentence to software your team can run

Explore Studio

Prompt-to-app breaks in the enterprise because the hard part is not the interface. It is the data, the permissions and the proof. Studio starts from the graph, so what it builds is already grounded and already governed.

A written request A prompt box holding a written request, with a send control. Show every open issue for the A320 line

Step one

Describe it

Say what the tool should do, in plain language. No ticket, no specification, no queue.

The request grounded in the graph Connected records forming a graph, with a box showing that the requester’s own permissions apply. Your permissions

Step two

Grounded in your graph

Built on your connected records, inside the access rules your source systems already enforce.

A running internal tool An application window with a chart and a result list, carrying the records each answer came from. Supplier risk

Step three

Ship it to your team

Running software for real users, and every answer still carries the record it came from.

  • Connected records
  • Source permissions
  • Audit trail
  • Your model
  • Your infrastructure

Curiosity Studio

Describe the tool. Get the software.

Studio builds internal apps, dashboards and agents from a description, on your connected data, in your environment, ready for real users rather than a demo.

Developers

AI beyond demos. Into production.

Drop to the API when you need to. Same graph, same permissions, your own code and your own models.

Why Curiosity

Prompt-to-app is easy. Prompt-to-app that a regulator would accept is not.

Four things have to be true before generated software is allowed anywhere near a production process.

01

Grounded, not guessed

Every tool is built on the graph, so what it shows traces back to the record it came from.

02

Your permissions, inherited

Generated tools cannot show a user anything the source systems would not already show them.

03

From prompt to production

What Studio builds ships to real users with an audit trail, not to a sandbox that dies on Friday.

04

Runs on your infrastructure

On premises or in your private cloud, with the model you choose. Your data does not leave your environment.

Industries

Where complexity is the norm

Used in environments with large-scale data and complex, critical workflows.

Security

Built for security

Made in Germany and built for data sovereignty. Your data stays in your environment, encrypted and access controlled down to the individual record. Everything Studio builds inherits exactly that.

On premises or private cloud

Deploy on your own infrastructure or in certified data centers in Europe.

Single sign on and enforced MFA

Access synced to your data sources with relationship based permissions.

Full audit trail

Every query, download and data access logged.

Data residency

Your data stays in the region you choose.

Made in Germany

Built in Munich.

GDPR compliant

European data protection standards.

Your data. Your infrastructure.

Describe it on Monday. Ship it this week.

Made in GermanyBuilt in Munich
GDPR CompliantHosted with customers
KI BundesverbandFull member