List your company

modelIQ

AI evaluation and observability · by alwaysAI, Inc.

Model evaluation tool providing F1 scores for every image and performance insights by class, size, and image quadrant; works on any model regardless of training origin.

Visit website

What it does

Model evaluation tool providing F1 scores for every image and performance insights by class, size, and image quadrant; works on any model regardless of training origin.

  • Computer vision application development and deployment
  • Real-time visual analytics
  • Edge and cloud fleet management
Category
AI evaluation and observability
Built for
Logistics and supply chain
Users
Developers, Enterprises in manufacturing, mining, logistics, construction, retail, venues, energy, and restaurants
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

Pricing isn't published

alwaysAI, Inc. doesn't list prices publicly. Ask them for a quote.

Security and compliance

As reported by alwaysAI, Inc.. Ask for audit reports before you buy.

  • Data Encryption
  • Code Scanning
  • Amazon Web Services (AWS) infrastructure
  • Data Control
  • Edge Deployment
  • Device Access

Reviews

No reviews yet

Reviews come from people who use modelIQ at work. Share how your team uses it to help other buyers decide.

Write a review

Alternatives

  • DataCenterBench

    by Robocurve

    Evaluating robots on data-center construction tasks, including racking servers, routing cable, and the physical work behind the compute supply chain.

  • Tokenshire

    by Olam Labs

    Simulated town of AI agents running autonomously for long horizons, socializing and managing government, economy, and resources under constraints.

  • LLM evaluation

    by Openlayer

    Rigorous evaluation for GenAI and LLMs—test every prompt, trace every response, and validate every output.

  • Self Diagnostics

    by Raindrop

    Capability for agents to proactively report their own failures via SDK instrumentation.

  • MangoDesk

    Evaluates and improves AI on meaningful use cases via production-grade RL environments, accelerating custom evals and post-training data creation.

  • Loss Analyses

    by AfterQuery

    Identifies where and why models fail in professional contexts through systematic study, pinpointing the precise failure modes and distributional gaps that inform dataset and env...

Is this your product?

Claim it to keep details accurate and submit evidence for the next ranking review.

Claim modelIQ