AI-native software company · Germany

B2B products. Engineered with AI.

We build and run our own B2B software. AI-native and security-led.

Build software

Expand what software can become.

AI supports the full development process. We turn that capability into B2B products, from the first requirement to ongoing operation.

Connect knowledge

Make knowledge usable.

Bring information from across a business into context. Give people answers they can trace to their sources and use in their work.

Enable action

Let intelligence take the next step.

Agents can carry tasks across several steps. Clear permissions define their scope, so useful autonomy can grow with the right controls.

Embed security

Understand attack paths. Safeguard possibilities.

Security architecture accounts for how systems can be attacked. This perspective shapes product decisions from the outset.

Evolve products

A release is not the end point.

Products evolve with their use. Insights from operation inform new features and the next stage of development.

Capabilities

From engineering to knowledge and action.

Three capabilities. A product perspective.

AI-native engineering shapes how we develop software. Knowledge systems and agentic automation extend what software can do.

  1. AI Engineering

    AI throughout development

    AI supports development. People decide and approve.

  2. Knowledge Systems

    Make distributed knowledge usable

    Answers with sources and clear access controls.

  3. Agentic Automation

    Turn intent into action

    Agents act within clear permissions and approval gates.

AI changes how software is built. And what it can do.

EndLogic
Engineering

One connected system. From requirement to operation.

Each stage carries context into the next. Reviews, tests and findings from operation feed back into development, connecting product decisions with the software people use.

  1. 01

    Requirement

    Context · Criteria

  2. 02

    Architecture

    Decisions · Trade-offs

  3. 03

    Implementation

    AI with project context

  4. 04

    Review & tests

    Quality · Security

  5. 05

    Release & operation

    Approval · Feedback

Findings inform the next iteration

  • Requirements establish the context and acceptance criteria.
  • Architecture records decisions and trade-offs before implementation.
  • AI supports implementation within the project context.
  • Reviews and tests assess quality and security before release.
  • Findings from review and operation feed back into development.
Security-led

Security creates room for capability.

With clear boundaries for access and action.

Useful software needs access to information and the ability to act. Security architecture defines that access and accounts for what an action could affect.

Offensive security examines identities, attack paths and the ways systems can be exploited. This perspective informs product and architecture decisions.

  • Identities and permissions

    Give each identity the access its task requires, with explicit boundaries around data and tools.

  • Rules beyond the model

    Enforce policies outside the agent so its instructions cannot expand the permissions it has been granted.

  • Approvals shaped by impact

    Match approval requirements to the possible consequences of an action and keep decisions traceable.

Build with us

Some business problems deserve a product.

We’re open to building it together. Bring domain expertise, access to potential users or a clearly understood problem. We bring engineering, security and AI expertise — including shared ownership where it fits.

A first thought is enough to start.

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Contact & location

Let’s get in touch.

Opening hours
Mon–Fri · 09:00–18:00Berlin local time (CET/CEST)
Registered office
Endlogic GmbH
Kollwitzstraße 76
10435 Berlin
Germany

Find us in Berlin.

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Endlogic GmbHKollwitzstraße 7610435 Berlin
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