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LatticeFlow

LatticeFlow offers tools to ensure the robustness and trustworthiness of AI models, enhancing AI safety and performance.

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What is LatticeFlow?

LatticeFlow is a platform that helps AI teams test and improve their models before deployment. It focuses on identifying weaknesses in AI systems, checking data quality, and assessing model reliability. The tool offers model diagnostics to spot blind spots, data diagnostics to catch training data issues, and AI assessments to evaluate robustness. Teams can integrate their own models or choose from pre-built options, and deploy everything on their own servers for data security. It's built for organisations across defence, construction, insurance, and healthcare that need confidence their AI systems will perform reliably in production.

Key features

Model diagnostics

identifies gaps in model performance and areas where it may fail

Data diagnostics

automated checks to spot and fix data quality issues before training

AI assessments

evaluates whether models are reliable and safe for deployment

Custom model integration

upload your own models or select from a library of pre-integrated ones

On-premise deployment

runs on your own servers to keep data and code private

Pre-deployment testing

catches potential issues before models go live

Pros & cons

Advantages

  • Finds model weaknesses early, reducing risk of failures in production
  • Data quality checks help prevent garbage-in-garbage-out problems
  • On-premise option gives you full control over sensitive data
  • Works with custom models, so not locked into specific frameworks

Limitations

  • Requires technical expertise to set up and interpret diagnostics results
  • On-premise deployment means you handle infrastructure and maintenance yourself
  • Pricing structure not clearly published, so you need to contact them for quotes

Use cases

Testing medical imaging AI before deploying in hospitals

Verifying autonomous systems in defence applications meet safety standards

Checking insurance claim prediction models for bias and reliability

Validating construction site safety detection systems work in different conditions

Auditing existing models to find performance gaps before they cause problems

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Pricing

Custom

Contact for pricing

Pricing varies based on deployment model, number of models tested, and usage volume. Contact the company for a quote.

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