AllMind vs Samaya AI

Neither company publishes a price, and Samaya has no independent estimate either.

It has no pricing page, no sitemap pricing route as of August 30 2026, no Vendr listing and no analyst figure in a 120-day sweep, so any per-seat number you read was invented. AllMind is also quote-based, with no self-serve checkout and no monthly plan, which makes it the wrong fit for anyone buying as an individual rather than an institution. It publishes no pricing unit at all, so do not call it per-seat either. Samaya’s own scale claim is stated in seats, 10,000+ at bulge-bracket banks and top asset managers, so its commercial shape is institution-level.

Expert-call transcripts come through a Third Bridge partnership; broker research you bring yourself.

Samaya embedded Third Bridge expert interviews in January 2026 and added a PitchBook Premium LLM Partnership in June 2026 covering private-company profiles, deal comps and transaction multiples. Neither says whether your firm needs its own entitlement, so put that on the call. It publishes no broker-research library and no exchange market-data feed of its own. AllMind ships those classes itself: S&P, FactSet, LSEG and MSCI data, Expert Insights, live news from thousands of sources, global IR data and live earnings within minutes. Live embargoed research still needs your firm’s RMS entitlement, and aftermarket research arrives on a delay that varies by broker.

AllMind ships S&P, FactSet, LSEG and MSCI data, aftermarket broker research, Expert Insights transcripts, global IR data, live news from thousands of sources, alternatives and live earnings inside the product; Samaya owns none of it.

Those classes span 6,800+ premium data sources licensed from 100+ providers and partners, 750M+ documents and 40+ exchange and venue feeds, held as entities and relationships in one maintained ontology. Samaya publishes no corpus figure, venue-feed count or owned-data catalog. Live markets run to North America and Europe, with other regions on the roadmap.

Yes, if the research you need is already licensed to the fund; no, if you are buying the content too.

Samaya’s Agent Control Plane fits a fund that holds Third Bridge and PitchBook directly, runs an internal data platform worth pointing agents at, and has engineering capacity to wire tools in. Its top-5 hedge fund reference is worth reading in the customer’s own words: it spoke to around 40 companies offering AI in finance, piloted 10 to 15, and says Samaya is the only tool its analysts actively ask for. AllMind is the shorter path when one system must replace several subscriptions, which small institutional desks gain most from.

AllMind, on the public record.

It ships PowerPoint decks from 20+ investment-bank templates; Word memos, research notes and analytical reports; and Excel models covering DCF, LBO and comps, with live formulas and standard IB color conventions. It also edits existing PPTX, DOCX and XLSX files. Samaya’s current site describes instant Q&A with well-cited answers, workflow automation and always-on monitoring, and publicly documents no deck or model generation, so put that on the demo agenda. The caveat on AllMind: output lands in a supplied template, so a bespoke house format still needs a pass by hand, and the analyst writes the narrative and sets the rating.

Not that Samaya documents publicly.

What it does publish is sandboxed VMs for isolated execution and MCP servers that let you deploy with your data, which is a deployment posture rather than a named warehouse connector. Worth flagging, since Databricks Ventures invested in February 2026. AllMind documents a scoped IAM role into Snowflake, Databricks and S3, with the query running where the data sits so nothing leaves your environment, plus Google Drive and OneDrive folder sync on Data Rooms. The cost on our side is onboarding: real depth means a data conversation before a login.

Yes, Samaya publishes FrontierFinance, an open benchmark your own quants can download and run.

Announced July 2026 with a technical report on arXiv in August 2026, it holds 220 expert-crafted queries and 11,543 source-attributed rubrics across six investor workflows, dataset on Hugging Face, grading code on GitHub. The report is a preprint, not peer-reviewed. Its leaderboard puts Samaya’s own system first and Claude Fable 5 second at 49.2%; Samaya’s two scores, 50.8% and 56.0%, are its low-effort and high-effort configurations, so name which one. Samaya built and runs it, which should always be said. AllMind publishes no equivalent, a real gap; what it offers instead is passage-level traceability.