Datalab

OmniExtractBench: 620 documents pulled from four different vendors' benchmarks, scored by one deterministic grader that explains every decision. Code and data are public.

How a certified braille transcriber at one of Utah's largest school districts uses Chandra to turn math and science documents into braille-ready markdown and LaTeX, cutting quality-control time by roughly 90%.

Our track-changes feature now reads redlines off PDFs and scanned pages with a new vision model, so insertions, deletions, and margin comments come back as inline markup no matter what format the document arrived in.

Form filling now runs on our document agent: geometry is measured rather than guessed, and every fill is checked against the page it produced. Building the benchmark to prove it also turned up three defects in the version we had been shipping, all of them