About VeriLM
I spent two decades designing hardware where wrong answers have physical consequences. As Chief Technology Officer at Windlift, I led teams building tethered drone systems — the kind where a confidently-wrong sensor reading doesn't get a polite warning, it crashes the aircraft.
That work taught me something important: a confident wrong answer is worse than no answer at all.
When I started using frontier AI for the kind of analysis I used to do by hand, I noticed the same problem in different clothes. The models give you eloquent, confident answers — but verifying them often takes as long as doing the work yourself. I resorted to asking multiple models the same questions and manually comparing results, a wholly unsatisfying process.
VeriLM is the verification layer I wanted to use myself. One login. All the frontier models. Control over how each query runs, and full transparency into what produced the answer.
Four modes:
- Deep Research — three providers' research reports inform the final VeriLM Deep Research report. Every sentence is graded against its source. VeriLM produces a different category of accuracy, depth, and consistency than any single provider alone.
- Deep Think — for questions where being wrong is expensive. A scope-definition phase pins down assumptions; three frontier models work the problem independently; a judge synthesizes a structured report with executive summary, limitations, and what would change the answer. The antidote for work slop.
- Daily Driver — chat-speed answers. Three frontier models answer independently; a fourth makes sense of their work, showing you what they agreed on and where they diverged.
- Single Model — direct, transparent access to any frontier model — including GPT-5.5 Pro, otherwise locked behind a $100/month plan. You pick the model and the thinking depth. You see exactly what produced the answer.
VeriLM is in private beta — request access below.