Your research claims, IP valuations, and due-diligence findings need to be correct. Before you bet millions on them, we verify them — with up to 12 model families (effective independence ~4 at ρ ≈ 0.2), a public evidence trail, and no black boxes. AI-powered verification; human expertise on consulting engagements. A researcher panel (the Heliaia) is now being seated. Self-serve tiers ($49–$249) are AI-only.
AI can now generate research-level findings faster than any expert can check them. Every organization making decisions based on research — drug pipelines, IP acquisitions, due diligence, policy — faces the same problem: which findings are actually true?
A cell isolation laboratory was losing $360,000/year to failed procedures. An AI agent found two research-level insights their scientists had missed — in hours, not months.
One research sprint ($25K–$50K) instead of a multi-year research grant. The findings are now undergoing expert review as part of our standard verification process. The client owns everything.
Choose the level of verification your decision requires. Every service includes a full evidence trail — no black boxes, no anonymous reviewers.
Per-paper pricing. No subscription required. All self-serve tiers are AI-only. Jürge: 2 hours. Caliber: 24 hours. Results delivered to your email.
Disagree with a verdict? File a rebuttal — it attaches to your report permanently. Mis-scores become published errata. View our data handling & subprocessors.
Bundle discounts available for 10+ papers. Jürge: 2 hours. Caliber: 24 hours. Results delivered to your email.
Think of it like weather data. We publish the raw observations for free — like NOAA. The live feed, the forecasts, and the custom queries are the paid product — like AccuWeather.
Conservative saving: $30K–$170K/year on diligence costs alone. The real ROI is the deal you don't do because Atlas flagged a retracted foundation — a single prevented $5M write-down pays for Atlas for a decade.
Atlas Enterprise doesn't replace the CI team — it gives them superpowers. 6 analysts manually tracking 3,000 papers miss things. Atlas catches every paper in their domains automatically. The $120K/year subscription is a rounding error against a single prevented $15M Phase II failure. One catch pays for a century of service.
102 domains, 912 nodes (474 open problems, 438 established results), interactive, searchable, free. This is what the landscape looks like when verification runs at scale — and the free tier is just the snapshot.
We didn't just build a verification service. We proved — information-theoretically — why it's necessary. That proof is what makes the service defensible.
Solonic is built and run from inside one of the world's top-five computer science and AI departments. The founder's academic specialty is the verification problem the company solves. Direct access to a deep bench of domain experts who can actually kill a paper, a top-tier talent pipeline, and a track record of adversarial verification that's public, auditable, and growing. The methods are open because the moat was never the recipe.
We pay human domain experts to try to destroy our papers. On record. By name. Papers that survive ship with their full review. Papers that don't? We publish the cause of death.
An AI agent attacked a 76-year-old open math problem. It caught its own error. Then the platform was killed. Then a downstream agent overclaimed. Then we caught that too.
A drug pipeline. A patent claim. A due-diligence finding. A research result your team can't independently verify. Tell us what's at stake — we'll tell you what verification looks like.