Halluminate

We ran Westworld Finance Diligence Bench on the latest frontier models. Gemini 4 (Antigravity) leads at 0.61, with Claude Opus 5.5 (Claude Code) at 0.59.

Quick reminder: our bench consists 88 tasks built on real acquisition deal data, run on a simulated analyst desktop.

We've raised a $30M to build the data research lab for knowledge work.

We're hiring across engineering, research, ops, and more.

Join us: jobs.ashbyhq.com/halluminate

Halluminate Department of Research (HDR) here! We'll see you at EMNLP 2026 in Budapest with an oral presentation of our DealTrace benchmark, by Alinа Hyk, at FinNLP-2026 workshop🎉

Deal analysis is one of the most demanding tasks an AI agent can take on. The agent has to read a long selling document against the Excel model behind it, rebuild the forecast, and defend an investment recommendation, and a mistake at any step can carry through to the final answer without being visible in it.

DealTrace was built to make that visible; we evaluated six frontier models under different levels of scaffolding, from no guidance to a structured method with a critique pass, on real private equity and M&A deal packages. Every claim in the recommendation is traced to the step that produced it, so the benchmark shows where an analysis fails rather than only scoring the final answer.

If you work on agentic evaluation or AI in finance, we are looking forward to connecting at the conference; reach out!

NeurIPS workshop deadline Aug 29? Grind it out at Halluminate's SF office, 10am–midnight.

This is a rare chance to network and get direct feedback from both our research and engineering teams! Food and good vibes provided!

We ran @grok 4.6 in its native harness through Due Diligence Bench, our new benchmark testing AI models across the tasks required to run a full company acquisition.

Clear improvement over Grok 4.5, but still below Opus 5.