LatticeFlow AI: Enterprise Overview
Executive Summary
LatticeFlow AG (commonly doing business as LatticeFlow AI) is a deep-tech artificial intelligence safety, governance, and risk management company founded in 2020 by leading AI researchers and professors from ETH Zurich. Headquartered in Zurich, Switzerland, with an established corporate subsidiary in the United States, LatticeFlow AI provides the world's first platform designed to operationalize AI governance through executable technical controls, automated evaluations, and continuous system monitoring.
While traditional AI governance solutions focus on manual compliance checklists and policy documentation, LatticeFlow AI provides a deterministic technical stack that translates regulatory standards, industry security guidance, and risk frameworks into automated, repeatable evaluations. The platform bridges the gap between enterprise Governance, Risk, and Compliance (GRC) teams and machine learning engineering groups, enabling organizations to deploy foundation models, custom machine learning systems, and autonomous AI agents safely and compliant with global regulations.
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Core Mission and Technology Foundation
LatticeFlow AI was established to solve a fundamental barrier to broad enterprise AI adoption: the unreliability, black-box nature, and security vulnerabilities inherent in complex machine learning models. Built on years of scientific research in formal methods, symbolic reasoning, machine learning robustness, and automated testing, the company transforms theoretical AI safety concepts into scalable enterprise software.
The technical foundation of the LatticeFlow AI Platform centers on:
1. Deterministic Risk Scoring: Moving beyond qualitative checklists to evaluate AI systems using technical evidence, measurement of failure modes, performance metrics, and use-case severity scoring.
2. Automated Red-Teaming: Systematically probing generative models and agentic workflows for safety breaches, prompt injections, data leakage, and unexpected operational behaviors.
3. Live Technical Auditing: Generating auditable evidence packages that demonstrate continuous compliance with global AI regulations such as the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001, and OWASP Top 10 for LLMs.
Products and Platform Architecture
The primary offering from the company is the LatticeFlow AI Platform, a unified suite designed to discover, evaluate, secure, and govern AI systems across the entire application lifecycle. The platform comprises several integrated modules and capabilities:
1. LatticeFlow AI Atlas
Launched as an enterprise registry and mapping engine, AI Atlas maps major global governance, cybersecurity, and risk frameworks directly to executable, ready-to-run technical evaluations.
- Mapped Frameworks: Converts broad guidance (such as NIST RMF, ISO 42001, OWASP LLM Top 10, MITRE ATLAS, and the EU AI Act) into actionable engineering controls.
- Ready-to-Run Library: Includes over 100 concrete evaluations covering jailbreaking, data leakage, hallucination, robustness, denial-of-wallet, and agentic execution safety.
2. LatticeFlow AI Evaluate
The evaluation engine allows data science and engineering teams to perform repeatable, technical assessments on custom models, Retrieval-Augmented Generation (RAG) pipelines, and LLM-driven agents.
- YAML-based Specification: Enables engineers to define test scenarios, custom metrics, and evaluation logic using declarative configuration files.
- Automated Data Synthesis: Automatically generates edge-case datasets and stress-test scenarios tailored to specific enterprise use cases.
- Deterministic & Traceable Execution: Incorporates caching, rate-limiting, and full provenance tracing to produce repeatable technical evidence from every evaluation run.
3. LatticeFlow AI Secure
A proactive security and automated red-teaming environment for AI systems and autonomous agents.
- Adversarial Probing: Automatically tests AI applications for prompt injection, privilege abuse, goal hijacking, indirect prompt manipulation, and vector/embedding vulnerabilities.
- Vulnerability Triage: Produces actionable mitigation suggestions and identifies security flaws before systems are released into production environments.
4. LatticeFlow AI Govern
The central management layer that translates low-level technical evaluation metrics into high-level business risk insights.
- Severity Matrix: Weights raw technical scores against deployment context, domain impact, and business risk factors.
- Executive Dashboards: Continuously tracks risk status, coverage against framework controls, open remediation items, and audit history.
- GRC Integration: Syncs directly with enterprise risk management systems, providing audit-ready evidence for compliance officers and external assessors.
5. LatticeFlow AI Discover
An enterprise discovery engine that scans and catalogs AI assets across an organization, identifying shadow AI implementations, unmanaged foundation models, and undocumented API endpoints.
Integrations and Ecosystem Extensions
LatticeFlow AI is built to operate seamlessly within existing data engineering, MLOps, and enterprise software ecosystems:
- AI GO! for SAP AI Core: An enterprise extension compatible with SAP AI Launchpad, SAP AI Core, and SAP AI Services. It enables SAP enterprise customers to execute technical risk assessments and ensure EU AI Act and ISO 42001 compliance directly within their SAP AI infrastructure.
- Developer Workflows: Offers Command Line Interfaces (CLI), Software Development Kits (SDKs), and API integrations, enabling machine learning engineers to embed safety and quality checks into automated CI/CD pipelines.
- Model Agnostic Support: Works across leading open-source models, commercial foundation models, vision-language architectures, and agentic software frameworks.
Services and Industry Solutions
In addition to its software platform, LatticeFlow AI provides specialized technical services and industry-specific advisory solutions:
- Independent AI Audits & Risk Assessments: Comprehensive third-party evaluations of foundation models and critical AI deployments, providing independent verification for regulatory filings and board reporting.
- Custom Framework & Control Blueprinting: Advisory services helping enterprises in highly regulated sectors construct custom AI governance frameworks backed by runnable technical tests.
- Financial Services Blueprinting: Tailored technical blueprints (e.g., FINMA-aligned frameworks in banking) to ensure agentic workflows comply with strict financial regulations.
- Critical Infrastructure Solutions: Custom robust testing suites for energy, transport, and industrial automation sectors where AI failure carries physical or systemic risk.
Targeted Use Cases and Customer Profile
LatticeFlow AI serves large enterprises, government entities, and mid-sized organizations building or deploying high-stakes AI applications in regulated industries:
- Banking & Financial Services: Securing agentic workflows, preventing data leakage in customer service bots, and ensuring compliance with financial standards.
- Healthcare & Life Sciences: Validating diagnostic vision models, ensuring dataset quality, and verifying safety compliance for medical AI deployments.
- Defense & Government: Strategic collaboration with public sector defense agencies, including the US Department of Defense and Germany's Federal Bureau for Information Security (BSI), to evaluate mission-critical AI robustly.
- Critical Infrastructure & Energy: Partnering with energy providers and transport systems to evaluate autonomous decision-making algorithms under unexpected operational conditions.
