Originate, screen, pressure-test, value, draft and prove — a coordinated team of AI agents that runs the whole mandate, end to end. Your pipeline, months ahead. Your memo, same day. One banker carrying what a pod used to.
Built by a Citigroup & Morgan Stanley banker, not an engineer who's never run a deal. The same engine already runs a live fund's deal flow in production — measured, and disclosed openly.
Adoption is buying better tools for the same workflow. Transformation is rebuilding the workflow around what AI now makes possible. A twelve-person pod runs three-to-five mandates because the analyst → VP → MD ladder is the hard limit on throughput. The 1000x Banker removes the ladder.
Each accelerates a task by a third while the banker pays the context-switching cost across all of them.
It answers the question you already knew to ask. It never calls you first.
One model, one answer — and it smooths over the disagreement where the risk lives.
The deal-intelligence agent watches your coverage universe 24/7, is built to flag transactions 3–6 months early, maps warm relationship paths, and drafts the positioning memo — before the other banker calls. Become a Narada design partner →
Twelve role-differentiated lenses engineered to disagree on every decision. The disagreement is the signal — and the banker arbitrates it, not an algorithm. On a matched-decision sample, the council materially out-performs the best single-agent prompt.
Buyer and investor screening, comparable transactions, valuation packs, and client-ready deal memos and pitch decks — the work that used to climb the analyst-to-MD chain by hand.
Every claim carries a citation, a confidence level and a rationale. Every agent action is logged and replayable. Agentic work that is more auditable than the analyst output it replaces — and the foundation of a multi-jurisdiction compliance roadmap.
Five calls queued, each with a one-line reason — buyers flagged warm overnight, clients with fresh triggers.
On the train, a 90-second briefing plays — synthesis, not news: two mandates moved overnight, here's what shifted before Friday's pitch.
Tomorrow's pitch is already drafted — comps, valuation, three angles, the council's dissent flagged on each. She arbitrates; she doesn't write.
Partner review. The agent is in the room — sessionless, identity-aware — and pulls the source document before the question is finished.
247 actions logged. She reviewed 38. The other 209 ran on her behalf — sourced, timestamped, replayable.
This isn't ChatGPT in a tab. It's the colleague that runs your book — and tells you when you're wrong.
Named for Manthan — the churning of the ocean until both poison and nectar surface. Twelve personas engineered to disagree, not a consensus engine that hides the risk.
~111,000 entities built from a working fund's real decisioning — a data substrate a wrapper can't reproduce in a quarter, growing by the day. The firm's judgement compounds with every deal, and stays when people move on.
Citations, confidence, rationale and replay on every output — and a multi-jurisdiction compliance roadmap (FCA Sandbox first) that later entrants can't retrofit.
The model is the substrate, not the moat. Swap the model underneath and the agent topology, the graph and the calibration data all ride along.
Buy-side deal scoring. Runs a live fund's own deal flow today — the reference implementation.
Sell-side M&A & fundraising advisory. Starts with Narada, the origination agent — live now.
Startup-side: investor matching, pitch refinement, term-sheet analysis.
Coverage and research — the next role in the deal lifecycle.
The investor scoring it, the founder pitching it, the banker advising it — all the same deal, all the same engine.
Watch the agents run live → getmanthan.com/live
“Work that would take an analyst a week or longer is on the table before our morning call.”
At Citigroup and Morgan Stanley I watched the same scene for years: we knew the company, we'd done the work — and the mandate went to the rival who'd started earlier and walked in with the sharper angle. Early opens the door; depth and ideas win the room. No team of twelve can deliver both across a hundred names. So I built the system that can — one that argues like a committee, drafts like a VP, and gets smarter with every mandate it touches. The 1000x Banker is the desk I wish I'd had.
Mayank Mathur · Founder — design partners get a direct line, not an account manager
Two founding design-partner seats are taken; three remain. Co-build it with us and lock founding terms before the market price sets.
Become a Narada design partner →Or request a 30-minute briefing · the product brief is in the resource library