A single AI produces a single perspective. We build systems of structured disagreement — where independent analytical personas deliberate, a synthesis layer compresses, and a knowledge graph compounds. Multi-agent intelligence infrastructure that gets better with every decision.
The best decision-making bodies — boardrooms, advisory panels, expert committees — don't succeed because any individual is smarter. They succeed because structured tension between different analytical mandates surfaces what any single perspective would miss.
We recreate that structured tension synthetically. 12 independent personas with genuinely different analytical frameworks evaluate the same evidence base. A synthesis layer compresses — not averages — the disagreement into actionable intelligence.
Not 12 copies of the same prompt with different names. 12 fundamentally different analytical philosophies, forced to commit.
Exhaustively factual extraction from documents, financials, and market data. The shared evidentiary base that all deliberation builds on.
12 independent personas — each with distinct analytical frameworks, domain expertise, and decision philosophy. Independent assessment. No anchoring.
Identifies decision-relevant tensions, distinguishes resolvable disagreements from fundamental risks, preserves nuance rather than averaging.
28,551 entities and growing daily. Every analysis enriches the graph. Every future analysis benefits from accumulated pattern recognition.
One methodology, multiple domains. Structured multi-agent deliberation applied wherever complex decisions need more than a single perspective.
Structured analysis, on demand
Submit a document. Receive a multi-dimensional analysis powered by the Analytical Council — structured disagreement between calibrated personas, synthesised into actionable intelligence. What a team of analysts produces in days, delivered in minutes.
Deployed intelligence infrastructure. One architecture, multiple verticals — each serving a distinct buyer with multi-agent deliberation, knowledge graphs, and institutional memory.
Deal analysis & investor intelligence
The Analytical Council applied to deal flow. Submit a deck, receive a multi-perspective verdict, track your pipeline, match with investors from a 1,747-entity network. What Vasudha and Manutosh see.
Agent employees for professional services
Deploy AI agents that operate like junior-to-senior consultants — analyst through partner grade. 27 analytical lens archetypes, institutional knowledge graphs, and calibration loops that improve with every engagement.
AI operating system for organisations
The infrastructure that makes a 5-person team out-execute a team of 50. Division-level advisory panels, cross-agent synthesis, and institutional memory that compounds. 10,800 lines, 348 tests, ready to deploy.
Professional navigation intelligence
Five analytical lenses calibrated to your profession — whether you're a VP navigating board politics, a consultant managing partner dynamics, or a banker prioritising mandates. The career companion that remembers your context across jobs.
Intelligence dispatches from the knowledge graph
What 28,551 companies, 180 startup postmortems, and a 12-persona Analytical Council reveal about startups, sectors, and the future of AI-native business. Published 5 days a week. Free.
Not a blog. The visible exhaust of an intelligence machine. Every note is backed by verifiable data from a 28,551-entity knowledge graph, 180+ startup postmortems, and continuous research agents running daily.
5 intelligence dispatches per week.
Straight from the knowledge graph.
Launching soon. We'll notify you when the first note drops.
Competition kills 34% of startups in our dataset — the single largest cause of death. But the median time-to-death varies wildly by killer...
India agritech has attracted $2.9 billion in funding and produced exactly zero IPOs. The contradiction tells you everything about the sector...
Of 180 postmortems in our knowledge graph, fintech accounts for the highest concentration of preventable deaths. The patterns are startlingly consistent...
We run 42 autonomous agents for 2 humans. Jensen Huang says 100:1 is the target. Here's why the firms that get there first win everything else...
Three signals from the research agents this week. One is a structural shift. One is a warning. One is an opportunity nobody's pricing correctly...
The failure rate for multi-agent AI in healthcare is 52%. Not because the models are bad — because the deployment architecture ignores three constraints...
Every analysis feeds structured entities into the graph — company profiles, market assessments, risk patterns, valuation comparables. Every day the system runs, the gap between us and a new entrant widens.
The same methodology that drives the best decision-making bodies — structured disagreement, independent evaluation, compressed synthesis — running autonomously.
Forward your document to ManthanBot via Telegram or API. The Deal Memo Analyst extracts every material fact.
Up to 12 independent personas evaluate the evidence. Growth vs. unit economics. Founder vs. market. India-specific vs. global. Genuine tension, not theatre.
The IC Associate identifies decision-relevant tensions, resolves what's resolvable, preserves genuine disagreement. Not vote-counting — structured compression.
Every analysis enriches the knowledge graph. Next month's analysis draws on this month's patterns. Intelligence that gets better with every decision.
Try a free diagnostic — submit any document and receive a multi-perspective analysis in minutes. Or talk to us about deploying Blueprint for your organisation.