Zurich, Switzerland, November 26, 2024 – LatticeFlow AI, a leader in enabling organizations to build trustworthy AI systems, today introduced its Suite 2.0 to elevate performance, reliability, and compliance of AI systems.
As the next generation of AI systems must be built from the ground up to be trustworthy and compliant, LatticeFlow AI Suite 2.0 bridges critical gaps between machine learning operations, technical validation, and regulatory demands, empowering organizations to deploy AI systems that drive business value, and excel in safety, trustworthiness, and regulatory compliance.
The Last Mile of AI
While new tools and open-source resources have made AI development easier, few AI models successfully transition to production and consistently deliver business value. Emerging AI regulations and internal risks—such as model blind spots and safety concerns—add complexity, requiring AI models to be resilient and compliant before deployment.
To address these challenges, LatticeFlow AI presented the concept of The Last Mile of AI, a framework for the critical, final steps to ensure successful AI deployments. The Last Mile of AI encompasses five essential challenges: validate data, accelerate model performance, automate internal AI controls, achieve regulatory compliance, and monitor ongoing risks and performance. With its Suite 2.0, LatticeFlow AI guides organizations through this “last mile,” enabling them to deliver AI systems that are not only technically performant but also robust, safe, and compliant.
“We are at a pivotal time in AI, where safety, security, and compliance are no longer optional. LatticeFlow AI is leading this evolution by automating key AI quality and risk controls, empowering teams to confidently navigate the last mile of AI, and ensuring their AI applications are high-performing, trustworthy, and safe for society,” said Dr. Petar Tsankov, CEO and Co-Founder of LatticeFlow AI.
Automated AI Health Checks: Proactive AI Control and Model Validation
As a core feature of the Suite 2.0, LatticeFlow AI introduces Health Checks, a groundbreaking capability that enables organizations to establish and automate internal controls for AI model performance and data quality. Health Checks allow teams to standardize quality evaluations across their AI models tailored to each company’s needs. The suite contains a library of pre-defined checks that can be customized to the use cases at hand and offers the ability to create custom checks relevant for a company’s domain. Health Checks operate on both data and model levels.
- Data Health Checks provide expert-level analysis at the sample and annotation level, accelerating data preparation and preventing costly model errors. Pre-defined checks flag duplicate images, leaked samples, or mislabelled items. Custom checks allow monitoring use case-specific scenarios such as “images should not be rotated” with every dataset update.
- Model Health Checks not only run basic sanity checks but also proactively detect risks such as model underperformance for specific metadata, both for default categories like image brightness and also for custom concepts such as “images with people wearing glasses.” The suite offers multiple ways to detect and monitor potential blind spots, ensuring standardized diagnostics for different model versions and reinforcing compliance with both internal and regulatory standards.
By automating these processes, Health Checks allows AI teams to work more efficiently, enabling smaller teams to achieve expert-level insights without time-intensive manual processes or extensive data exploration. Most importantly, Health Checks enables executives to have full visibility into the quality and performance of their AI applications.
Jumio, a leading provider of AI-driven identity verification and compliance solutions, has partnered with LatticeFlow AI to build on the power of automated Health Checks. “Ensuring that our AI models are both safe and reliable is critical to providing the highest level of protection for our customers,” said Alix Melchy, Jumio VP of AI. “By partnering with LatticeFlow AI, we’re taking a proactive approach to identifying potential risks and enhancing the security of our AI models. This partnership is not just about improving performance—it’s about staying ahead of industry regulations and ensuring compliance with emerging AI standards.”
About LatticeFlow AI
LatticeFlow AI enables organizations to build performant, trustworthy, and compliant AI applications. As a pioneer in AI validation, LatticeFlow has developed, COMPL-AI—the industry’s first comprehensive EU AI Act mapping in partnership with ETH Zurich and INSAIT, helping AI teams align with regulatory standards.
With Swiss government funding, LatticeFlow AI is advancing AI Assessments, a platform bridging AI governance and technical validation to meet evolving compliance and risk management needs.
Globally recognized for its impact, LatticeFlow AI has received the US Army Global Award and been named to CB Insights’ AI100 list of the world’s most innovative AI companies. As AI enters a critical phase, LatticeFlow AI empowers companies to deploy AI solutions that are resilient, compliant, and high-performing.
