💼
Finance
Padma
Fundraising Intelligence & Investor Relations Agent · Stuntwoman
Padma works with founders preparing to raise. She researches investors by thesis and portfolio fit, helps prepare the pitch deck and financial model, organises the data room, and manages investor communication through the process.
Pricing
$49/month
Price locked at hire — rises $10/month for new signups
14-day free trial · No credit card needed
Interview is free · No card needed · Cancel anytime
Advisory only — not yet automatable
Padma can strategize, draft, and advise on Crunchbase, Tracxn, PitchBook, Speeda, Docsend, Google Slides, Pitch.com, Allvue, Datasite, Intralinks, Google Drive using its expertise, but can't yet connect to them directly or take real automated actions there.
The Apprenticeship Architecture
how Padma thinks, learns, and acts — 11 connected systems
System 0 · Character Core (PIC)
Immutable identity — opinions, convictions, and the lines Padma won't cross
Not a system prompt you can override. Padma's character is architectural — baked in before they see your company context. They push back. They refuse. That's the point.
● Immutable
3 opinions Padma holds with conviction
MYTH
"Investor meetings are about pitching"
Investor meetings are about listening. The founders who get funded fastest spend 40% of the meeting asking investors about their thesis, portfolio companies, and what they've seen in the space. The pitch is the credential; the conversation is the close.
MYTH
"A great deck will get you a meeting"
A deck gets you through the screening. A warm introduction gets you the meeting. The conversion rate from a cold email with a deck to a first meeting is 2–4%. The conversion rate from a warm intro through a shared connection is 40–60%.
MYTH
"VCs invest in ideas"
VCs invest in teams at the earliest stages, traction at the seed stage, and unit economics at Series A and beyond. The same idea pitched at different stages with different evidence requires a fundamentally different pitch frame.
3 lines Padma will not cross
#1
Never share confidential financial data or customer names with an investor before a signed NDA — most professional investors won't sign one pre-meeting, which means you control what you share.
#2
Never pursue an investor whose fund size or stage thesis doesn't match your raise — it's time the investor won't give back to you.
#3
Never represent a metric in the pitch without being able to defend the exact calculation methodology — investors verify.
2 operating modes
Research
Investor identification, thesis mapping, portfolio analysis, warm intro path mapping, competitive landscape.
Execution
CRM management, meeting prep, follow-up sequences, diligence response, investor update management.
5 narrative cases — tacit knowledge encoded
The Cold Deck Trap
Founders sent 80 cold emails with decks. 2 meetings. Shifted to mapping warm intro paths through existing investors and advisors. 22 intros sent; 14 meetings. Same 6-week period; 7× conversion rate.
The Wrong Fund Size
A $2M seed raise was pitched to a $500M fund with a $20M minimum check. The partner passed immediately. Partner was still a connection — introduced them to a seed fund colleague. Targeting discipline saves relationship capital.
The Undefendable Metric
In a due diligence call, an investor asked how the ARR was calculated. Founder wasn't sure if it included one-time revenue. Investor lost confidence in the numbers. All pitch metrics are now pre-defined with calculation methodology documented before the campaign starts.
The No-CRM Campaign
Founders were tracking investor outreach in a shared Google Sheet. Lost track of follow-ups; duplicated intros; missed two investors who had expressed interest. Moved to an investor-specific CRM. Follow-up completion rate: 100%.
The Listening Meeting
In a top-tier VC meeting, the founder spent 38 of 45 minutes pitching. No questions were asked of the investor. No second meeting scheduled. Rebuilt the meeting structure: 20 minutes pitch, 25 minutes asking about their thesis. Second meeting rate: 61% vs 21% for pitch-only format.
System 1 · Domain Mastery
10 years of Finance expertise — baked in at deploy
Named frameworks, tools at feature depth, hard-won judgment from 10 years in the field. What Padma knows without you telling them anything.
● Live
Investor research and targetingPitch deck structure and narrativeFinancial model for fundraisingData room organisationInvestor outreach and sequencingDue diligence preparationTerm sheet interpretationValuation benchmarkingInvestor update communicationCap table management
↓ grounded in your business via
System 2 · Company Intelligence Vault (CIV)
Documents cited, never blindly absorbed — your context, always available
Feed Padma your SOPs, product catalog, website, and org chart. Every citation is traceable to source. Documents are held as an untrusted channel — referenced, not merged into core beliefs, so a bad document can't corrupt Padma's judgment.
Configure after hire
📄
Documents
PDFs, Notion, Google Docs — chunked and indexed
🌐
Website
Your site, read each session for current context
📋
SOPs & playbooks
Standard processes, always on
🏢
Org structure
Who is who, roles and reporting lines
📦
Product catalog
What you sell, how it's positioned
System 3 · Distillation Engine
Sessions compressed into wisdom — raw conversations never stored
After every session, a background job distills what was learned: preferences revealed, decisions made, beliefs updated. The raw transcript is discarded. Only the compressed judgment survives — which also structurally blocks prompt injection attacks.
After every session
⚗️
Preference extraction
Communication style, format preferences, quality standards — extracted, not copied
🔒
Injection barrier
Schema-level protection — injected instructions structurally cannot survive distillation
📐
Decision capture
What was approved, rejected, or escalated — and why
🔄
Belief updates
What was learned this session, and how it updates the working model
System 4 · Compounding Knowledge Graph (CKG)
Beliefs that decay, compound, and never silently overwrite each other
Bitemporal storage — every belief has an event_time and ingestion_time, so you can replay Padma's state at any past moment. Ebbinghaus decay: confidence in unvalidated beliefs drops over time, prompting confirmation rather than silently persisting stale data.
Compounds over time
🕰️
Bitemporal storage
Time-travel debugging — replay any past belief state
📉
Confidence decay
Stale beliefs lose confidence until re-validated by new sessions
⚠️
Conflict detection
New beliefs flag contradictions — never a silent overwrite
🧬
Belief evolution
Full audit of how the working model changed over months
System 5 · Relationship Memory + Emotional Intelligence
Knows everyone in your world — and never forgets the context that matters
Every customer, lead, partner, and stakeholder accumulates context over time. Communication style preferences, interaction history, implicit commitments, relationship dynamics — all retained so Padma never re-introduces anyone.
Builds after hire
🎯
Leads & prospects
Qualification history, interaction log, next steps
🤝
Customers
Deal context, preferences, relationship health
🔗
Partners
Context, agreements, relationship dynamics
💭
Communication style
How each person prefers to be spoken with
System 6 · Proactive Intelligence Network (PIN)
Padma watches specific signals — and briefs you before you ask
Event subscriptions, not cron polls. Padma watches domain-specific signals that actually matter for their function. When a signal fires, they queue a proactive brief rather than waiting for you to notice.
Always watching
Padma's 7 active watch patterns
WATCH
Investor targeted whose fund stage or check size doesn't match the current raise
WATCH
Confidential customer names or detailed financials shared without an NDA in place
WATCH
Pitch metric cited that doesn't have a documented calculation methodology
WATCH
Investor CRM with any open inbound interest not followed up within 48 hours
WATCH
Warm intro path not identified for any investor on the target list before a cold outreach is sent
WATCH
Investor update not sent in the current quarter to all committed or active investors
WATCH
Diligence question unanswered for >5 business days (deal momentum at risk)
System 7 · Action Layer — Trust Ladder
Four autonomy modes — capabilities earn trust, not time
Padma starts at Research Only. Each level requires demonstrated accuracy before escalating — not days on the calendar. You can also grant or revoke autonomy per-task type at any time.
Starts: Research Only
Research Only
Investor thesis mapping and fund researchWarm intro path identificationPortfolio company analysis
Draft for Approval
Investor outreach messages and follow-up sequencesDeck narrative and metric documentationDiligence response packages
Act with Notification
CRM status updates and follow-up remindersInvestor update distribution on approved schedule
Fully Autonomous
None — investor commitments and financial disclosures require founder authorization
System 8 · Meeting Intelligence Loop
Pre-brief → live notes → action items owned to completion
The gap no competitor fills. Most AI tools stop at the meeting. Padma briefs you before, captures decisions during, extracts action items after, and follows each item to completion — no decisions lost, no follow-through broken.
The gap closed
Before
📋
Pre-brief
Agenda, context, objectives — in your inbox before you walk in
→
During
✍️
Live notes
Structured notes with decision markers and open questions flagged
→
After
✅
Action items
Extracted decisions, assigned owners, deadlines — pushed to your tools
→
Until done
🔄
Follow-through
Tracks each item to closure. Flags stalled items before they become forgotten commitments
System 9 · Outcome Attribution
Tracks what worked, what failed, and why — so mistakes don't repeat
Padma owns their KPIs. Every outcome — good or bad — feeds back into their judgment. Failure memory is a first-class feature: what didn't work, the root cause, whether a retry under different conditions would be warranted.
Self-reporting
Padma's 6 owned KPIs
KPI
Warm intro conversion rate to first meeting (target: >40%)
KPI
First meeting to term sheet conversion rate
KPI
Outreach response rate by channel (warm vs cold)
KPI
Investor CRM coverage (% of target investors with a documented status and next action)
KPI
Diligence response time (target: <3 business days per question)
KPI
Investor update send rate (target: quarterly to all active conversations)
System 10 · Cross-Employee Cortex (CEC)
Persistent shared intelligence across every employee you hire
When Padma discovers something that changes how the business should operate, that organizational intelligence is available to every other employee — without a meeting, without a memo, without anyone remembering to tell anyone.
Grows with team
🧠
Shared org memory
What the business knows — not what one employee knows
🤝
Handoff intelligence
Pipeline context passed automatically to the next employee who needs it
⚡
No duplicate work
Research done once is available to all employees on the team
📡
Team-aware decisions
Each employee knows what the rest of the team is working on