Upload your pitch deck. Three independent frameworks analyse it simultaneously — each reads the same evidence, none reads the others' conclusions. The disagreements between them are where the real intelligence lives. Results in 10 minutes. £9 per deal.
Upload on website · Pay via Stripe · Results in 10 minutes · PDF download + email delivery
entities in KG
backtested outcomes
per analysis
High Alignment reliability
You match founders to investors, track deal progress, and report outcomes — using spreadsheets and WhatsApp. ManthanBot screens every deal in your pipeline in under 10 minutes, matches to 5,042 investor profiles, and produces structured analysis you can share with your network.
Your 2–3 person team processes 200+ inbound decks per month. PitchBook costs £12,000/user/year and gives you data, not judgement. ManthanBot gives you structured analytical assessment on every deck for £9. Deals that pass screening flow into Blueprint for full pipeline management.
Your team wants consistent frameworks applied to every deal — not memos that vary by which analyst wrote them. ManthanBot applies up to 9 independent analytical perspectives to every deal, calibrated against 213 real outcomes. Structured, comparable, decision-ready.
You're the analyst, the partner, and the board member. Every hour on deal screening is an hour not spent on portfolio companies. ManthanBot is your analyst. £9 per deal. 10 minutes per analysis. No hire. No training. No turnover.
Most investment tools run a single prompt. Garbage in, garbage out — add a few hundred tokens of refinement, and the output quality plateaus at ~45% accuracy.
ManthanBot runs three independent analytical frameworks on the same deck. Each reads the evidence. None reads the others' conclusions. When they agree — "High Alignment" on momentum, TAM, unit economics — you have high-confidence signal. When they disagree — one framework sees secular decline, another sees market expansion — you've found the real tensions that matter.
This multi-agent structured tension isn't hypothetical. It's how human investment committees have worked for decades. We've systematised it.
Multi-agent architecture scores 66.7% weighted accuracy vs. 41–48% for best single-agent prompt.
Evaluates technical foundation, AI/ML capability maturity, product moat, and technology risk vectors.
Assesses revenue models, unit economics, margin expansion paths, and capital efficiency metrics.
Evaluates team capability, execution velocity, operational leverage, and execution risk mitigants.
Drop your pitch deck PDF on getmanthan.com. Enter your email. Pay £9 via Stripe. Your email is your safety net — if you close the tab, we'll send results there.
Three frameworks run in parallel. Live status updates show each framework's progress. While you wait (~10 min), read relevant sector intelligence from our knowledge graph. Results appear on screen as an interactive HTML report.
Download a PDF. Upgrade to Deal Memo (£81, AC-6) or Extended AC (£324, AC-9) for deeper analysis. Every analysis feeds a knowledge graph of 84,900+ entities — your next analysis is smarter because this one happened.
The Knowledge Graph is why your 47th deal is smarter than your first.
Time: 5–10 hours per deal. Cost: £80,000–160,000/year (junior analyst salary). Output quality: Varies by analyst. ManthanBot: 10 minutes per deal. £9 per deal. Consistent rigour across all 213 historical outcomes.
Cost: £12,000–55,000/seat/year. What you get: Data — investor profiles, funding rounds, exit comps. What you DON'T get: Judgement. ManthanBot: Structured analytical assessment on EVERY deck. Investor matching. Sector context. £9 per analysis.
Single-pass accuracy: 41–48%. Calibration: None. ManthanBot: Multi-agent deliberation, 66.7% accuracy, calibrated weekly against real outcomes. Different architecture, dramatically better results.
Coverage: Each covers 1–2 modules. Hebbia = document analysis. Bridgetown = research synthesis. Deliverables = structured output. ManthanBot: Per-deal analysis — pitch screening, memo generation, investor matching, sector intelligence. For the full 8-module stack (adding relationship intelligence, pipeline management, deal tracking, continuous KG compounding), see Blueprint — our continuous infrastructure product for investment teams.
Current state: 85% of VC/PE firms use some AI daily. Most use ChatGPT + spreadsheets + email. Risk: Inconsistent analysis, high CAC, poor deal screening, lost patterns. ManthanBot: Consistency, speed, calibration, knowledge compounding. Competitive moat.
AC-3 (3 core frameworks)
Equivalent to 3–5 hours of analyst work
AC-6 (6 frameworks)
Equivalent to a 2-week analyst project
AC-9 (all 9 frameworks)
Equivalent to a full consulting DD engagement
vs 41–48% single-agent
27 of 29 confirmed
13,600+ companies, 5,000+ investors
calibrated weekly, improving monthly
No hired analysts. No outsourced research. The analysis is delivered by AI agents with explicit mandates, calibration loops, and error-preservation systems. Humans would be slower and more expensive.
Cap tables, burn rates, and founder disclosures are classified as Engagement-Confidential (T4) and never stored in our knowledge graph. Four-tier confidentiality architecture ensures your sensitive data stays private.
Every output includes confidence ranges and caveats. A Framework Alignment Score of 7.2/10 is not a binary recommendation — it surfaces the tensions that matter. Every analysis feeds a calibration loop; we get better weekly because we track what we missed.
One-click checkout. Structured analysis. No account needed.
Upload Your Deck — £9ManthanBot provides structured analytical frameworks, not investment advice. Past accuracy metrics reflect backtested performance against historical funding outcomes and may not predict future results. All scores represent framework alignment assessments, not recommendations to invest or pass. Consult qualified professionals before making investment decisions.