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The 1000x Banker

An entire deal team. One banker.

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.

NARADA · COVERAGE RADAR your universe, watched 24/7
120 companies watched 0 signals surfaced 0 deals called early

Everyone is buying AI. Almost no one is being transformed by it.

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.

✕ THE COPILOT

35 tools, one tax

Each accelerates a task by a third while the banker pays the context-switching cost across all of them.

✕ THE RESEARCH TOOL

A database with filters

It answers the question you already knew to ask. It never calls you first.

✕ THE SINGLE AGENT

One confident voice

One model, one answer — and it smooths over the disagreement where the risk lives.

One coordinated team — the whole mandate.

01 · ORIGINATE

NaradaLive now

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 →

02 · PRESSURE-TEST

The analytical council

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.

03 · PRODUCE

The deliverable agents

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.

04 · PROVE

The verifiability layer

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.

A Tuesday in 2027 · Anika, MD · six live mandates · no analyst army
07:18

Five calls queued, each with a one-line reason — buyers flagged warm overnight, clients with fresh triggers.

08:42

On the train, a 90-second briefing plays — synthesis, not news: two mandates moved overnight, here's what shifted before Friday's pitch.

09:15

Tomorrow's pitch is already drafted — comps, valuation, three angles, the council's dissent flagged on each. She arbitrates; she doesn't write.

14:00

Partner review. The agent is in the room — sessionless, identity-aware — and pulls the source document before the question is finished.

18:47

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.

Why it doesn't get eaten.

01

Dissent as the unit of analysis

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.

02

A compounding knowledge graph

~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.

03

Regulator-grade by construction

Citations, confidence, rationale and replay on every output — and a multi-jurisdiction compliance roadmap (FCA Sandbox first) that later entrants can't retrofit.

04

Built to ride inference deflation

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.

One engine. Four roles across the deal.

Live

1000x Investor

Buy-side deal scoring. Runs a live fund's own deal flow today — the reference implementation.

You are here

1000x Banker

Sell-side M&A & fundraising advisory. Starts with Narada, the origination agent — live now.

In build

Fundraising Advisor

Startup-side: investor matching, pitch refinement, term-sheet analysis.

Next

Research Analyst

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.

It already runs. And it's measured, not claimed.

~111k
entities of context behind every signal you get
49
agents already doing this daily — for a live fund
24/7
self-scoring on every call it makes for you
FCA
Supercharged Sandbox applicant

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.”
Nitin · Co-founder, Tavaga — the venture operation this engine runs in production

Built by a banker who lost the room.

Mayank Mathur, founder of Manthan Intelligence

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

Start where it's live

The 1000x Banker begins with Narada — the origination agent.

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