The operating system
for your fundraise.
Built for founders who'd rather be building. AI runs the raise alongside you, handling investor matching, outreach, and the data room while you stay close to the product.
Free tier never expires · No card · Nothing sends without your approval
investors
1,24,806 records scored · 312 match your raise
| investor | fit | cheque | thesis | stage |
|---|---|---|---|---|
MK Northbeam Capital Seed fund · Bengaluru | 94 | $250K–$750K | B2B SaaS, India-first | Meeting |
AR Harbourline Ventures Pre-seed fund · Singapore | 91 | $150K–$500K | Applied AI, SEA | Contacted |
SD Meridian Labs Accelerator · Remote | 87 | $100K | Fintech infrastructure | Added |
PN Kavery Fund I Micro VC · Mumbai | 84 | $200K–$600K | Vertical SaaS | Diligence |
RV Studio Fifty-One Angel syndicate · Delhi NCR | 79 | $50K–$200K | Founder-led GTM | Committed |
TG Ashford Incubator Incubator · Pune | 74 | $25K–$100K | Early product | Added |
Matching refreshed 4 minutes ago – 6 new funds active at your stage
Illustrative RaiseOS screens from the private beta. Every name, firm and figure shown is fictional sample data.
1.25L
Investors, VCs, incubators and accelerators in the scored database
21+
AI agents that run the steps of a raise
100%
Of outreach waits for your explicit approval before it sends
Three steps. The system keeps the state.
Nobody needs another dashboard to keep up to date.
- 01
Get matched
Fill in your stage, sector, geography and traction. Matching scores 1.25L records against it and hands back a ranked list with reasons. Fifteen minutes.
Fit score, stage, cheque band
- 02
Run the raise
Agents draft for email and LinkedIn, fill the forms, log the touches and tell you what to do next. You approve what sends.
21+ agents, zero unapproved sends
- 03
Close, then keep going
The data room flags gaps before diligence starts. The captable stays current through each SAFE. Investor relations continues from the same record after the wire lands.
Data room, captable, IR
Fill the profile once. Every agent works from it.
Identity, background, founder-market fit, traction and financials live in one record. Matching ranks against it. Outreach writes from it. The data room checks it for gaps. You stop retyping your own company into six different forms.
founder profile
one record · reused by every agent
founder
Maya Iyer
company
Fernpost Labs
stage
Pre-seed
sector
B2B SaaS · workflow AI
based in
Bengaluru, IN
raising
$1.2M
founder-market fit
Six years building internal ops tooling before starting Fernpost. Shipped the first version to twelve design partners she already knew from that work.
arr
$18K
growth / mo
22%
customers
34
runway
11 mo
Matching, outreach and the data room all read from this record
Seven modules, one record of the round.
Matching feeds the CRM. The CRM feeds outreach. Outreach logs itself back. The data room and captable close the round out. Nothing to sync.
matching
Scores 1.25L records against your raise
agents
21+ agents run each step of the raise
crm
Auto-captures leads, logs every touch
outreach
Drafts email and LinkedIn, you approve
data room
Flags missing documents before diligence
captable & ir
Keeps ownership and relationships current
mcp server
Connects your raise to Claude and ChatGPT
and underneath
One record of the round. Every module reads and writes the same investors, threads, documents and dates, so nothing is entered twice.
The list and the pipeline share the same brain.
Your ranked investor list feeds straight into a CRM that already knows your stage, size, and warm intros. Every lead, email, and note lives in one place so you always know who to talk to and where you stand.
- 1.25L investors, VCs, incubators and accelerators, pre-built
- Fit scored on stage, sector, geography, cheque band and recent deployment
- Auto-captured leads from email and LinkedIn
- Stages: added, contacted, meeting, diligence, committed
- Activity logs with an AI-suggested next step per investor
investors
312 match your raise| investor | fit | stage |
|---|---|---|
MK Northbeam Capital Seed fund · Bengaluru | 94 | Meeting |
AR Harbourline Ventures Pre-seed fund · Singapore | 91 | Contacted |
SD Meridian Labs Accelerator · Remote | 87 | Added |
pipeline
238 investorsAshford Incubator
Auto-captured
Meridian Labs
From matching
Harbourline Ventures
Replied 2d ago
Northbeam Capital
Partner call Thu
Studio Fifty-One
$150K signed
Talk to your raise.
Twenty-one agents handle the steps inside RaiseOS. The MCP server lets you bring that same intelligence into Claude or ChatGPT, so you can ask about your pipeline, an investor's history, or what's missing from the data room without switching tabs.
- List building, research briefs, warm paths, follow-ups and diligence prep
- Ask in plain language and get sources you can check
- Read your pipeline, records and data-room status from Claude or ChatGPT via MCP
- Writes and sends always stop in your approval queue first
Assistant
Ask about your raise...FiltersMCP settings+ New threadLet's raise, Ananya
21 agents ready. Connect Claude or ChatGPT to ask from anywhere.
Which funds should I follow up with this week, and what's missing from my data room?
Email and LinkedIn drafts that wait for your yes.
Each draft is written from that investor's thesis, portfolio and last ninety days of activity. Then it stops and waits in a queue. You approve, edit or reject. There is no autopilot switch, and we are not going to build one.
- Email and LinkedIn drafts written per investor
- Nothing sends without your explicit approval
- Cadence and follow-up sequencing handled for you
- Opens, replies and meetings logged back to the CRM
Outreach
Search drafts...FiltersTemplates+ New sequence- MK
Northbeam Capital
Email · first touch
- AR
Harbourline Ventures
LinkedIn · first touch
- JC
Calder Fund
Email · first touch
- SD
Meridian Labs
Email · first touch
To: partner@northbeam.example · Subject: Pre-seed, vertical SaaS for compliance teams
Hi Maya,
You led Runwell's pre-seed, which sits directly upstream of what we're building – automated evidence collection for compliance teams at mid-market fintechs.
We're at $34K MRR, growing 22% month over month across 19 paying customers, with 94% logo retention over two quarters.
Worth fifteen minutes next week?
Personalised from thesis, portfolio and last 90 days of activity
Sent
84
Replies
11
Meetings
6
It tells you what's missing before an investor asks.
RaiseOS knows what a pre-seed, seed or Series A room is expected to hold. It reads yours, flags the gaps, and tells you which absent document is most likely to stall diligence.
- Missing documents flagged for your stage
- Per-investor access with viewer-level activity
- Version tracking, so nobody is reading last month's model
- A diligence checklist that fills as you upload
Data room
Search documents...FiltersShare link+ Upload01 · Company
- Certificate of incorporation.pdf
- Founder agreements.pdf
- IP assignment – 4 of 5 signedMissing
02 · Financials
- 12-month model v6.xlsx
- Metrics dashboard – Aug
- Cohort retention by monthMissing
03 · Commercial
- Top-10 customer contracts.pdf
- Pricing & discount policy.pdfStale
Suggested by RaiseOS
Cohort retention by month
Requested in 8 of 10 pre-seed diligence processes
IP assignment – 1 signature outstanding
Blocks legal sign-off at close
Pricing policy is 4 months old
Superseded by your current model
Viewers
- Northbeam Capital – 14 min, model + metrics
- Kavery Fund I – 6 min, financials
- Studio Fifty-One – 2 min, company
The round closes. The relationship keeps going.
Keep the captable current through each SAFE and each priced round. After the close, investor relations runs from the same record: updates, touchpoints, and an honest read on who stopped opening your email in March.
- Captable across SAFEs, notes and priced rounds
- Investor updates with open tracking
- Relationship health, plus a list of who has gone silent
Captable
Search holders...FiltersExport+ Add holder- Ananya Rao (founder)38.5%3,850,000
- Vikram Shah (founder)30%3,000,000
- Studio Fifty-One8.4%840,000
- Kavery Fund I6.1%610,000
- ESOP pool12%1,200,000
- Angels (SAFE)5%500,000
Founder ownership
68.5%
Dilution this round
15.0%
Pool refresh
+2.0%
Investor relations
- RVStudio Fifty-OneUpdate opened 2d ago
- PNKavery Fund INo contact in 74 days
- SDMeridian LabsIntro made 9d ago
August update – draft ready
Written from your metrics and pipeline. 6 recipients, 82% open rate on the last one.
Four things that make this different from a list and a CRM.
Most fundraising software sells a database or a pipeline. The work between the two is where a round is won, and that is the part we built.
The database is already in the product
1.25L investors, VCs, incubators and accelerators, scored against your raise in the first minute. You never rebuild the sheet, and it refreshes while you sleep.
Agents do the step
21+ agents handle research, drafting, follow-up timing and diligence prep. Most fundraising software hands you an empty CRM and calls that a product. We think that is the vendor keeping the easy half.
One record of the round
Matching, CRM, outreach, data room, captable and IR are one system. Nothing to sync at midnight, and no second answer about where a conversation stands.
Nothing sends without your yes
AI writes and you approve. Your reputation with a partner is the only asset in a raise that cannot be rebuilt, so we do not spend it on your behalf.
It runs where the raise already happens.
Connect your inbox and LinkedIn and leads capture themselves. Connect Claude or ChatGPT through the MCP server and ask about the round from the assistant you already use.
- Gmail
- Outlook
- Drive
- Calendly
- Claude
- ChatGPT
- More soon
How a raise actually works, written down.
Playbooks for the round you're running, and a blog about the mechanics rather than the mythology.
Raise Signals
One email a month on what is actually getting funded. Who is deploying, which terms are drifting, and the process details that decide a close.
The things founders ask first.
Still unclear on something? Email us – a founder answers.
Public filings, fund websites, portfolio disclosures and public partner activity, normalised into one record per fund and one per partner. Some fields decay fast. Thesis changes, partner moves and recent cheque activity get checked most often, because those are the ones that waste your introductions. You can also add an investor by hand and RaiseOS fills in the rest of the record.
Stage fit, sector fit, geography, typical cheque size, whether they lead or follow, and how recently they deployed at your stage. Every match shows its reasons, so you can disagree with it. Rejections feed the next pass.
Each one owns a step. List building, fund and partner research briefs, warm-path finding across your team's networks, first-touch drafting for email and LinkedIn, follow-up timing, meeting prep, investor updates, diligence-pack assembly, data-room gap checks, captable scenarios. You ask in plain language and the agent shows its work.
Connect Gmail or Outlook plus LinkedIn. RaiseOS recognises investor conversations, matches or creates the record, and logs the touch. Application forms fill from the matched record rather than being typed again. Each investor carries a suggested next step based on where the conversation actually stands.
Only after you approve each message. Drafts are written per investor and held in a queue. You approve, edit or reject. There is no setting that sends cold email for you, and we have turned down the feature request more than once.
It compares your room against what investors at your stage expect: incorporation and captable documents, the model, a metrics view, customer references, IP assignments, key contracts, founder agreements. Anything absent, stale or superseded gets flagged, and it predicts which document each investor is likely to request next based on where they currently sit in your diligence process.
Start with the list. Close with everything in one place.
Free forever on the base tier. Matching runs as soon as your profile is done – about fifteen minutes.
No card required · 1.25L investor records from day one · Nothing sends without your approval
