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KERVALT / PUBLICATIONS

Peer-reviewed research and technical papers

Our publications explain how Kervalt is built, tested, and kept safe. Every claim can be reproduced and traced back to its source.

Reproducible Results Open Datasets Linked Sources EU-Hosted

01 / FEATURED

Featured publications

Recent work from Kervalt Research on reasoning, infrastructure, and responsible AI.

TECHNICAL WHITE PAPER

Kervalt: A Unified Approach to Enterprise Reasoning

How the search, connection, and record parts of Kervalt work together to give complete answers in document-heavy work.

BENCHMARK REPORT

Connected Legal Reasoning Benchmark

A 12,000-document test measuring detection of linked contract clauses and ownership chains.

SAFETY PAPER

Clear Rules for Enterprise Agents

A framework for policy-driven filtering, output review, and human controls in high-stakes domains.

INFRASTRUCTURE

Running Models on European Servers

A comparison of speed, cost, and data protection when models stay in Europe.

MODEL CARD

Kervalt-LM Technical Report

Capabilities, data governance, test results, and known limitations for our hosted model family.

ETHICS

Bias Mitigation in Multi-Part Retrieval

Methods for detecting and reducing unfair bias across every part of Kervalt.

02 / PRODUCTION

From paper to real product

Published methods become verified systems when every claim is reproducible and every answer is linked to its source.

BEFORE KERVALT

Research stays on the shelf

  • Whitepapers make claims that cannot be reproduced on customer data.
  • Benchmarks ignore location rules, data leaks, and real-world messiness.
  • Citations are manual; made-up references slip into production.

AFTER KERVALT

Published methods become verified systems

  • Every paper links to runnable test code and open datasets.
  • Tests run on European servers with zero outside training.
  • Every answer links back to its source automatically.

NEXT STEP

Need a reprint or academic license?

Our research team can provide reprint permissions, collaboration terms, and custom test datasets.