Curiosity.AI

Describe an internal tool in one sentence, get working software on your own data

Intermediate API
Screenshot of Curiosity.AI, Describe an internal tool in one sentence, get working software on your own data

What is Curiosity.AI?

Curiosity.AI is an AI project builder tool. Curiosity Studio converts a plain-language request into a working internal app, dashboard or agent built on your connected enterprise data, inside your existing permissions, on your own infrastructure. Made in Munich for regulated, data-heavy industries.

Curiosity Studio is a German enterprise AI platform that turns a written description of an internal tool into working software, built on top of a company's own connected records. A user types a request such as "show every open issue for the A320 line" or "flag late supplier notices" and Studio assembles a running application, complete with charts and result lists, from data drawn across tickets, part records, supplier notices and field reports. The product is built in Munich and aimed squarely at organisations with complex operational data: aerospace and defense, rail and mobility, energy and infrastructure, industrial manufacturing and life sciences. The mechanism that separates it from generic prompt-to-app builders is the context graph. Studio does not start from a blank interface and hope the data behaves; it starts from a graph of connected records, so every application it generates is grounded in source systems and inherits the access rules those systems already enforce. A generated tool cannot surface a record to a user that the underlying source would not have shown them, and each answer carries the record it came from. That grounding, combined with a full audit trail of queries, downloads and data access, is the argument for letting generated software touch production workflows. Deployment is the second differentiator. Studio runs on premises or in a private cloud, including certified data centers in Europe, with the customer's choice of model. Data stays in the region selected, single sign-on and enforced MFA apply, and the vendor states GDPR compliance and data residency commitments. Teams with engineering capacity can drop to the API for the same graph and permissions inside their own code and models. The practical buyer is an enterprise platform, data or innovation team sitting on a long internal tool backlog, where small requests queue behind quarterly roadmaps and teams fall back on spreadsheets. Curiosity's positioning is that the hard part of enterprise prompt-to-app is governance rather than the interface, and it prices and sells accordingly, through demo and sales conversations rather than published self-serve tiers.

How do you use Curiosity.AI?

  1. 1Book a demo and scope the first tool
    Start with a sales conversation rather than a signup. Bring one recurring internal question that currently gets rebuilt by hand each week, since that is the shape Studio is designed to replace.
    Curiosity.AI — Book a demo and scope the first tool
  2. 2Review how Studio works end to end
    Read the Studio page to understand the three stages: the written request, grounding on the context graph, and shipping to real users with an audit trail.
    Curiosity.AI — Review how Studio works end to end
  3. 3Read a customer story in your industry
    Customer stories from Airbus, Wayra, CPI, Skye and guud show what a deployment looks like in practice, which helps set expectations with internal stakeholders.
    Curiosity.AI — Read a customer story in your industry
  4. 4Check the trust center before security review
    Data residency, on premises deployment, SSO, MFA and audit logging are documented in the trust center, which is the material your security team will ask for.
    Curiosity.AI — Check the trust center before security review
  5. 5Connect data and describe the first application
    Once inside the environment, connect the relevant source systems and type the request in plain language. Studio builds a running application against your graph and permissions.
  6. 6Hand the API to engineering for deeper builds
    For anything beyond the generated surface, developers can work against the same graph and permissions in their own code, using their own models.

Pros and cons

Pros

  • Generated tools inherit source system permissions, so users see only records they were already entitled toAI
  • Every answer traces back to the originating record, with audit logging of queries and data accessAI
  • Runs on premises or in a private cloud with the customer's own model choice and regional data residencyAI
  • Backed by named production references including Airbus, Allianz, Telefonica and Karl StorzAI
  • Engineers can extend beyond the no-code surface through an API sharing the same graph and permissionsAI

Cons

  • No published pricing or self-serve tiers; evaluation runs through a demo request and sales processAI
  • Value depends entirely on connecting and modelling enterprise source systems first, which is real upfront workAI
  • Only a curated model choice is described; specific model vendors and versions are not listed publiclyAI
  • The customer stories shown are quotes and logos rather than detailed implementation or cost breakdownsAI
  • Little evidence of small team or individual use; the product is shaped around enterprise deploymentAI

How much does Curiosity.AI cost?

Support

Support runs through demo booking, a sales contact route and a trust center covering security, residency and compliance documentation. No public help centre or ticket portal is listed.

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Integrations

Studio works from a context graph of your connected enterprise systems, with permissions inherited from those source systems. Specific connectors and named source applications are not listed on the homepage.

Features

Describe an internal tool, dashboard or agent in plain language and get running software built on your connected records. Tools inherit source system permissions, every answer carries its source record, and a full audit trail logs queries, downloads and data access. Deploy on premises or in a private cloud with your choice of model, SSO and enforced MFA, regional data residency, and an API for engineering teams that need more control.

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Frequently asked questions about Curiosity.AI

  • Does Curiosity.AI have an API?
    Yes, Curiosity.AI offers an API.
  • How do you use Curiosity.AI?
    The walkthrough on this page covers 6 steps: 1. Book a demo and scope the first tool 2. Review how Studio works end to end 3. Read a customer story in your industry 4. Check the trust center before security review 5. Connect data and describe the first application 6. Hand the API to engineering for deeper builds.
  • What platforms does Curiosity.AI support?
    Curiosity.AI is available on Web App.
  • What does Curiosity.AI integrate with?
    Studio works from a context graph of your connected enterprise systems, with permissions inherited from those source systems. Specific connectors and named source applications are not listed on the homepage.
  • What are the limitations of Curiosity.AI?
    No published pricing or self-serve tiers; evaluation runs through a demo request and sales process. Value depends entirely on connecting and modelling enterprise source systems first, which is real upfront work. Only a curated model choice is described; specific model vendors and versions are not listed publicly.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid