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LatticeFlow

LatticeFlow AI is a company founded by leading AI researchers from ETH Zurich with the mission to empower organizations to build and deploy trustworthy AI. To learn more about LatticeFlow AI, visit https://latticeflow.ai.

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Founded

2020

Location

Berlin

Employees

46

Funding

$12M Series A

LatticeFlow AI: Governance, Risk, and Model Quality for Vision and GenAI

LatticeFlow is a Swiss AI company specializing in AI governance, technical risk assessments, and end-to-end model quality for computer vision and GenAI. Spun out of ETH Zurich in 2020, the platform helps enterprises surface blind spots, fix data issues at scale, and produce evidence-backed compliance reports for regulated deployments. The company focuses on the “last mile” of AI, where failures, spurious correlations, and data leakage often evade standard validation.

  • Website: [LatticeFlow AI](https://latticeflow.ai)
  • Platform overview: [LatticeFlow Platform](https://latticeflow.ai/platform)
  • Flagship product: [LatticeFlow AI Vision](https://latticeflow.ai/product/ai-vision)
  • GenAI evaluation: [AI Insights](https://www.linkedin.com/products/latticeflow-ai-insights/)
  • Platform and Products

  • LatticeFlow Platform
  • Purpose-built for AI governance, technical assessments, and quality assurance across computer vision and GenAI.
  • Provides automated assessments, intelligent workflows, and audit-ready reporting aligned to frameworks while remaining model- and vendor-agnostic. See: [Platform](https://latticeflow.ai/platform).
  • AI Vision
  • Detects anomalous samples, inconsistent labels, and data leakage; guides model-targeted data collection to improve accuracy and robustness. See: [AI Vision](https://latticeflow.ai/product/ai-vision).
  • AI Insights (GenAI QA)
  • Moves toward automated QA for GenAI systems and independent LLM risk evaluation for production scenarios. See: [AI Insights](https://www.linkedin.com/products/latticeflow-ai-insights/).
  • Key Capabilities

  • Automated technical assessments to uncover model blind spots and spurious correlations.
  • Intelligent workflows for model diagnostics and large-scale data fixing.
  • Evidence-based governance reports that go beyond checklists and support audits and approvals. See: [Governance updates](https://latticeflow.ai/news/latticeflow-ai-sets-a-new-standard-for-ai-governance-with-evidence-based-technical-assessments).
  • Computer vision data quality tooling: anomaly detection, label consistency checks, and leakage detection. See: [AI Vision](https://latticeflow.ai/product/ai-vision).
  • Continuous validation for CV and GenAI as data drifts in production.
  • CI/CD-friendly automation and SDK support referenced in platform materials. See: [Platform](https://latticeflow.ai/platform).
  • Who It’s For

  • AI leaders and ML teams at enterprises operating in regulated markets.
  • Risk, compliance, and governance functions requiring audit-ready evidence.
  • Computer vision and GenAI teams shipping models to production at scale.
  • Evaluators and safety teams conducting independent technical assessments.
  • Core Use Cases

  • Find and fix model blind spots before deployment.
  • Detect and remediate data issues at scale (anomalies, mislabels, leakage).
  • Model-guided data collection to improve performance on hard or rare cases.
  • Generate evidence-backed AI governance reports for audits and approvals.
  • Ongoing monitoring and revalidation of CV and GenAI models as data changes.
  • Integrations and Ecosystem

  • Partnerships
  • DEKRA for AI safety assessment services in regulated environments. See: [DEKRA + LatticeFlow](https://latticeflow.ai/news/dekra-and-latticeflow-launch-ai-safety-assessment-services).
  • Collaboration highlights with Jumio and AI-trust workflows in public materials. See: [US market and partnerships](https://latticeflow.ai/news/latticeflow-brings-safe-and-trustworthy-ai-to-the-u-s-market).
  • Developer workflow
  • References to SDKs and automation enable CI/CD-style checks and repeatable evaluations. See: [Platform](https://latticeflow.ai/platform).
  • Note: A comprehensive list of tool-level integrations is not publicly enumerated.
  • Compliance and Governance

  • Evidence-first approach: assembles measurements, artifacts, and analyses that substantiate claims, rather than check-the-box attestations. See: [Evidence-based assessments](https://latticeflow.ai/news/latticeflow-ai-sets-a-new-standard-for-ai-governance-with-evidence-based-technical-assessments).
  • Model- and vendor-agnostic: designed to evaluate diverse models and infrastructure.
  • Supports auditability for safety-critical and regulated settings through documentation, traceability, and repeatable workflows. See: [Platform](https://latticeflow.ai/platform).
  • Outcomes and Case Highlights

  • Reported gains include smaller, higher-signal datasets, faster training cycles, and time savings in data curation.
  • Work highlighted in identity verification and defense contexts, with emphasis on robustness and deployability in the wild. See: [Intelligent workflows for blind spots](https://latticeflow.ai/news/announcing-model-blind-spots-powered-by-intelligent-workflows).
  • Differentiators

  • ETH Zurich roots with leadership spanning robust ML and formal methods.
  • Deep technical stance on reliability, compliance, and measurable performance improvements.
  • Focus on the last mile of AI—catching issues that slip past standard validation.
  • Governance reports that are evidence-backed and audit-ready, not policy-only.
  • Independent GenAI/LLM risk evaluation orientation via AI Insights.
  • Considerations

  • Limited third-party review data on marketplaces to validate claims today. See: [G2 competitors page](https://www.g2.com/products/latticeflow-ai/competitors/alternatives).
  • Sparse community discussion to date; fewer informal user testimonials. See: [Reddit mention](https://www.reddit.com/r/Multiplatform_AI/comments/15y671x/latticeflow_partners_with_us_army_to_unleash/).
  • Pricing and deployment details are not broadly published; expect a sales-led evaluation. See: [LatticeFlow](https://latticeflow.ai).
  • Getting Started

  • Explore the platform overview and request a demo: [Platform](https://latticeflow.ai/platform) and [LatticeFlow AI](https://latticeflow.ai).
  • Review product specifics for computer vision: [AI Vision](https://latticeflow.ai/product/ai-vision).
  • Learn about governance evidence and intelligent workflows in recent updates:
  • [Evidence-based technical assessments](https://latticeflow.ai/news/latticeflow-ai-sets-a-new-standard-for-ai-governance-with-evidence-based-technical-assessments)
  • [Model blind spots via intelligent workflows](https://latticeflow.ai/news/announcing-model-blind-spots-powered-by-intelligent-workflows)
  • For GenAI QA and risk evaluation, see: [AI Insights](https://www.linkedin.com/products/latticeflow-ai-insights/).
  • Educational content on GenAI evaluation: [Benchmarking GenAI confidence](https://insights.latticeflow.ai/education-content/trusting-the-answers-evaluating-genai-confidence-with-benchmarks-that-work-71).
  • Company Facts

  • Company: [LatticeFlow AI](https://latticeflow.ai)
  • Founded: 2020, ETH Zurich spinoff. See: [Crunchbase](https://www.crunchbase.com/organization/latticeflow).
  • Headquarters: Förrlibuckstrasse 70, 8005 Zurich, Switzerland. See: [LinkedIn](https://www.linkedin.com/company/latticeflowai).
  • Founders: Petar Tsankov, Pavol Bielik, Martin Vechev, Andreas Krause. See: [Crunchbase](https://www.crunchbase.com/organization/latticeflow).
  • Team size: ~11–50 employees; 11.4k+ followers on LinkedIn. See: [LinkedIn](https://www.linkedin.com/company/latticeflowai).
  • Funding: Early-stage venture-backed; details on [Crunchbase](https://www.crunchbase.com/organization/latticeflow).
  • Selected partnerships: [DEKRA](https://latticeflow.ai/news/dekra-and-latticeflow-launch-ai-safety-assessment-services); work highlighted with Jumio and defense users in public posts. See: [US market announcement](https://latticeflow.ai/news/latticeflow-brings-safe-and-trustworthy-ai-to-the-u-s-market).
  • Sources

  • [Website](https://latticeflow.ai)
  • [Platform overview](https://latticeflow.ai/platform)
  • [AI Vision product](https://latticeflow.ai/product/ai-vision)
  • [Intelligent workflows announcement](https://latticeflow.ai/news/announcing-model-blind-spots-powered-by-intelligent-workflows)
  • [Evidence-based governance assessments](https://latticeflow.ai/news/latticeflow-ai-sets-a-new-standard-for-ai-governance-with-evidence-based-technical-assessments)
  • [DEKRA partnership](https://latticeflow.ai/news/dekra-and-latticeflow-launch-ai-safety-assessment-services)
  • [GenAI evaluation blog](https://insights.latticeflow.ai/education-content/trusting-the-answers-evaluating-genai-confidence-with-benchmarks-that-work-71)
  • [LinkedIn company](https://www.linkedin.com/company/latticeflowai)
  • [Crunchbase](https://www.crunchbase.com/organization/latticeflow)
  • [Reddit mention](https://www.reddit.com/r/Multiplatform_AI/comments/15y671x/latticeflow_partners_with_us_army_to_unleash/)
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