LatticeFlow AI
Technical Documentation
Co-creator of the COMPL-AI framework evaluating foundation models directly against EU statutory mandates.
Article 11 and Annex IV technical documentation requirements belong to the high-risk framework; the applicable date depends on Article 6 classification and the amended transition dates.
Navigator mappings are a discovery aid. They do not establish that an organisation or system is legally in scope, compliant or certified.
These software matches come from the requirement tags recorded in the Navigator catalogue. Review each vendor profile and its source evidence before making a procurement or compliance decision.
Run assessment23 source-linked profiles currently mapped to this requirement.
Technical Documentation
Co-creator of the COMPL-AI framework evaluating foundation models directly against EU statutory mandates.
Technical Documentation
Regulatory engineering platform specifically built to compile Annex IV technical documentation dossiers for CE-marking.
Technical Documentation
Automated model validation solution generating standardized model risk documentation and regulatory compliance files.
Technical Documentation
Data development platform providing automated annotation quality control, data lineage, and bias curation.
AI Evaluation & Testing
Scenario-driven model evaluation platform verifying model behavior across granular sub-cohorts and edge cases.
Technical Documentation
No-code AI platform helping physical engineering teams test and validate models used in critical safety products.
AI Evaluation & Testing
Continuous AI validation platform providing automated test suites across data integrity, model behavior, and LLM evaluation.
AI Governance & Inventory
Data security platform automating data discovery, dynamic access control, and audit compliance for AI and analytics workloads.
AI Evaluation & Testing
Enterprise AI intelligence platform integrating CognitiveScale's trusted AI engines for automated risk, bias, and explainability governance.
Technical Documentation
German AI assurance agency and software platform guiding companies through technical conformity assessments under EU statutory rules.
Technical Documentation
Open-source developer platform bringing Git version control to datasets, machine learning experiments, and model pipelines.
AI Evaluation & Testing
Continuous ML and data quality monitoring platform providing automated anomaly detection, performance tracking, and confidence scoring.
Technical Documentation
Nordic compliance tool guiding software developers through automated generation of technical files mandated by EU Regulation 2024/1689.
AI Governance & Inventory
Enterprise AI governance platform for managing AI use cases, risk, compliance workflows and lifecycle oversight.
AI Evaluation & Testing
Synthetic dataset generation and RAG evaluation platform stress-testing generative pipelines on enterprise edge cases.
Technical Documentation
French data labeling and quality platform auditing annotation consensus, data lineage, and training dataset integrity.
Technical Documentation
Open-source MLOps platform recording full environment configurations, dataset versions, and training telemetry for model reproducibility.
Technical Documentation
Physics-based modeling and deep learning validation suite verifying AI reliability under extreme physical operating environments.
Technical Documentation
Automated testing and data migration validation platform verifying data consistency and algorithmic accuracy across core banking systems.
AI Evaluation & Testing
Open-source AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.
Technical Documentation
Data synthesis platform creating privacy-compliant, balanced synthetic datasets to eliminate bias in ML training and testing.
Technical Documentation
Regulatory engineering software guiding development teams through technical documentation dossiers required for EU market placement.
Technical Documentation
Dutch AI synthetic data engine generating privacy-compliant synthetic datasets while preserving statistical properties and eliminating bias.