Streamlining Evalulations- LLM as a Judge
Introducing bem Evals: Real-time accuracy validation that eliminates the guesswork from your unstructured data workflows
You could build a fragile parser without observability, or could try this instead. Evals are our newest addition to the bem platform, working closely with our Accuracy feature (within the Functions tab) in order to deploy production workflows in seconds for unstructured data inputs (of any type- audio, images, PDF, CSV, etc.).
With Evals, there is no longer a need for querying to understand outputs and accuracy.
Why Engineers use Evals-
- Deploy with confidence, not fingers crossed: Real-time accuracy scoring means you know exactly which outputs are production-ready before they hit your systems. No more surprise failures.
- Fix errors at the speed of thought: Spot an incorrect transformation? One click corrects it and improves your entire pipeline. Your models get smarter with every correction, automatically.
- LLM as a judge to scale without breaking: Unstructured data can't power product and revenue if you can't trust it. We'll monitor for you 24/7 so you can build product instead of babysitting pipelines.
- No more maintenance: No more patching brittle parsers. No more rewriting transforms for new data formats. No more 3 AM pages because your pipeline choked on unexpected input. bem evolves with your data automatically.
Why Product teams + Operators use Evals-
- Stop saying "the data team is looking into it." bem Evals eliminates the data quality bottleneck that's been slowing down your product roadmap. Launch features faster. Iterate with confidence. Your customers get reliable experiences from day one.
- Turn data into your competitive moat: While competitors struggle with brittle parsers and manual QA, you're shipping data-driven features at lightning speed. bem Evals makes reliable data processing your unfair advantage.
- Revenue depends on reliable data. Fragile parsing and manual QA don't scale with your business. bem Evals turns your unstructured data from a liability into a competitive advantage—automatically validating accuracy so you can focus on growth, not infrastructure firefighting.
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