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Applied research. Systems for enterprise AI.

Verifiable answers, even when complexity spans the entire business.

We develop systems to query enterprise data, documents and relationships. To understand not just what to answer, but which evidence is needed and what still needs checking.

One question crosses several sources

  1. 01The question
  2. 02Relevant evidence
  3. 03The answer, with sources and limits
Conceptual view · from sources to an answer

Our starting point

A plausible answer is not enough.

In a business, useful information lives across different systems. An answer can sound convincing while missing the very fact that changes a decision. We work on the path from a question to its evidence, before the words of the answer.

Read our manifesto

What guides our work

Three criteria. One question: does the answer stand up to scrutiny?

01

Completeness and verification

Relative to the question and the authorized sources available. Make the evidence used, the steps to check and the missing information identifiable.

02

Efficiency

Study how to select useful sources, context and execution steps. Measure the work required alongside the quality of the answer.

03

Cost per correct answer

Evaluate quality, latency and cost together. The aim is to understand the cost of reaching a verified answer, beyond the cost of generating tokens.

01 / Our first product

Ando Engine.

From distributed knowledge to useful context.

Private beta by invitation

Engine connects enterprise knowledge and selects relevant context for AI applications. It is our first product taking this work out of the lab.

Explore Ando EngineArchitecture, examples and access requests on the product page.

Research / Open directions

Studying how to find. Beyond how to generate.

We explore systems that learn to navigate the structure of knowledge and plan queries. Models specialized in the path to evidence, without placing enterprise knowledge into their weights.

A research direction, not an available feature.

Approach, evaluations and limitations

Research matters when you can put it to the test.

Start with Engine. Explore the architecture and evaluate the product on your own workload.

Explore Ando Engine