An adversarial-research platform for capital allocators who can no longer trust single-LLM stock analysis.
Quorum, by natkal.ai is an adversarial-research platform for capital allocators who can no longer trust single-LLM stock analysis. The industry's central pain is sycophancy and drift: ask any frontier model the same question on two consecutive days and you receive two confidently contradictory answers — neither stress-tested, neither auditable, neither willing to argue against itself. Quorum dissolves that failure mode by replacing the single-model verdict with a 10-seat Council (five bull seats against five bear seats, chaired by a Synthesizer) that refuses to issue a recommendation unless the dissent survives into the final briefing. Subscribers do not just receive a one-word chip (BUY MORE, HOLD, TRIM, SELL, DROP); they receive the full adversarial reasoning trail behind it, cited to specific filings and data slots, ready to defend in an investment committee.
The research stack has four tiers — Lite (free, local-GPU baseline), Pro (cloud syndicate with shared verdict caching), Max (frontier-model debate, included with Pro+), and Ultra-Max (invite only). All four preserve the same canonical verdict and Executive Briefing contract; research depth, backbone, prompts, limits, and latency differ. Team / RIA is a five-seat Pro plan, not a fifth research tier. Every claim cites a primary source, every dissent is preserved verbatim, and every verdict is written to an immutable storage layer now seeding the sector's first publicly verifiable LLM-stock-research track record. The business case is concrete: decisions you can defend to LPs and compliance, a permanent audit trail that survives post-mortem, fewer reversed calls driven by model sycophancy, and a meaningful displacement of the seat-licence and qualitative-research spend that institutional desks today scatter across Bloomberg, Koyfin and TIKR — consolidated inside one platform, with the free tier running end-to-end on private infrastructure.