About

Encode your thinking once.
Let the agent execute on it forever after.

Mission

Nagini is an operating system for buy-side analysts to encode their thinking once and let an AI agent execute on it forever after. Not a co-pilot. The analyst's own framework, applied at machine speed, with cell-by-cell audit. Modern LLMs are good enough at financial reasoning that the bottleneck is no longer “can the AI do the math?” — it's “does the AI think the way this analyst thinks?” Markets are made of differing perspectives; an agent that operates on a generic framework is an undifferentiated agent.

What's been built

Pre-revenue, pre-customer — but the V1 surface is real. As of 2026-05-07:

Founder

Mohammad Khodadadi · prior background in TBD · what I'm betting: TBD.

tbd — operator input neededBio lands here once Mohammad ratifies the wording. Per shared-brief §6: prior context, one-line “what I'm betting” thesis on Nagini. Until then, the rest of this page does the work.
The build process

Nagini ships with a team of agents, not a team of humans. One founder plus a fan-out of Claude and Gemini agents — each scoped to a single milestone, each merging through the same review gate as a human PR. An orchestrator agent schedules the fan-out, reads the coordination ledger, and prevents two agents from racing on the same file. The live ledger and decision log are public. The pattern is documented in ADR-0007 and ADR-0013 — most products don't ship their architecture this transparently.

Decisions log

Every binding architectural and product call is written down. Read the rationale — approach selection, cell architecture, tool registry, auth + RLS, the design system, deploy topology, the team-of-agents pattern, the cross-tenant signin escape hatch, the M6 data-ingestion source picks, the V2/V3 wedges — under public ADRs at docs/decisions. If the rationale matters to you, that's where it is.

Request access

Invited beta. If you run a sub-$1B AUM book, drop a line.