LatticeFlow offers a single platform that discovers, evaluates, and continuously monitors AI systemsto identify and mitigate risk across the agentic AI stack. It combines deep technical assessments with expert risk interpretation, turning complex AI signals into actionable insights for governance and compliance. The solution enables enterprises to secure AI deployments, align with regulations, and maintain trustworthy performance at scale.
Funding
$17.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IFounders
Product
Problem
Deploying AI applications in production presents challenges related to ensuring performance, trustworthiness, and compliance with evolving regulations like the EU AI Act. Traditional AI development workflows often lack integrated monitoring and risk assessment, leading to potential vulnerabilities and unreliable results.
Solution
LatticeFlow AI provides a platform designed to validate, accelerate, automate, comply, and monitor AI applications throughout their lifecycle. The platform integrates into the CI/CD pipeline, enabling organizations to identify and address critical data issues, ensure accurate and unbiased results, and build AI models with safety and reliability guardrails. By incorporating continuous monitoring and risk assessment, LatticeFlow AI helps organizations confidently deploy AI systems that meet regulatory standards and deliver reliable performance in real-world conditions. The platform's capabilities extend to evaluating AI systems against the EU AI Act using the COMPL-AI framework.
Target Audience
The primary target audience includes organizations developing and deploying AI applications in regulated industries, AI developers, and data scientists concerned with AI governance, risk management, and compliance.
Features
- Data validation to identify and resolve critical issues affecting AI model performance
- Tools to ensure accurate and unbiased AI results under real-world conditions
- Automation features to build AI models with integrated safety and reliability guardrails
- Compliance tools to aid in deploying AI systems that adhere to the latest regulations, including the EU AI Act
- Continuous monitoring capabilities integrated into the CI/CD pipeline for performance and risk assessment
- COMPL-AI framework for evaluating AI systems against the EU AI Act