Your AI analyst that learns from every deal.

Our AI learns how your fund invests, helping you evaluate more companies and continuously identifying founders that fit your thesis.

Connected to leading healthcare ecosystems

University of AlbertaUniversity of ManitobaUniversity of North CarolinaVanderbilt UniversityGeorgia TechVelocity at the University of Waterloo

Automation

250+ hrs
Automated to date

Efficiency

$16,000+
Labor costs saved

Network capital

$350M+
AUM of firms on the platform

Curated sourcing

200+
Curated deals surfaced
From an investment teamContent placeholder
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One platform for your entire deal funnel.

From the moment a deck lands to the memo after the call, DealRiverscreens, researches, replies, and syncs every deal, so nothing sits unread and nothing gets typed in twice.

Learns from every deal

Each decision adds context about how your fund actually invests.

Your team reviews a company and records a decision
Thesis fitDecision rationale
Agents continually learn the rationale behind every decision
Proactively find and identify new opportunities

Improve thesis understanding, and actively screen for new deals.

Pitch deck screening

Every deck is extracted, researched, and scored against your thesis before your team opens it.

Intake is one click

Forward the deck. DealRiver handles extraction, research, thesis scoring, CRM entry, and the reply, with no forms or manual entry.

Hours back, every day

Triage, research, CRM entry, replies, and post-call notes run on their own, leaving analysts more time for the deals worth pursuing.

One shared Unibox

Every deal email in one place, labeled and organized, so anyone on the team can pick up the thread.

Everything lands in Affinity

Deals, verdicts, replies, and memos are written to the right organization and mapped to your fields and stages.

How it works

Forward inbound deals, it's that easy.

Optimized to plug into your existing workflows. When a deal arrives, simply forward it to start the screening process.

Deck arrives in your inbox

Forward the email, or upload the document directly to the platform. That's all you need to do.

Email forwardShared inboxUploadURL
Unibox / inbound09:14
D
dana@verata.aito deals@
Verata AI, Seed round, intro from Medical Alley
Verata_Seed_Deck.pdfLabel: Inbound deckSource: Ecosystem partner

Extract data and enrich

Extract and synthesize 40+ structured fields, then enriched with the healthcare context a generic summarizer never has: trials, predicate devices, reimbursement precedent, comparables.

Clinical trialsRegulatoryReimbursementComparables
Extracted & researched40+ fields

Stage & raise

Seed · $2.5M

ARR

$410K · 18% m/m

Regulatory pathway

510(k), Class II

Reimbursement

CPT 93297 precedent

2 active trials6 comparables3 named pilots

Evaluate against your thesis

Assessed against criteria you write in plain language. Clear fits and clear passes are handled consistently; anything uncertain is flagged for investment-team review.

Your criteriaShown reasoningOverridable
Thesis check / Helix Surgical4 criteria
  • B2B with recurring revenueMet
  • ARR above $250K floorMet
  • Round within check rangeMet
  • Core geographyFlagged
Intro callWatchPass

Draft replies in your fund's voice

A real reason on a pass, a booking link on a fit, drafted in your fund's voice from the actual deal data. You read it and click send.

Your templatesCalendar-awareOne click
Draft / passAwaiting approval
Todana@verata.ai
SubjectVerata AI / Foreline Capital
Hi Dana, thanks for sending the Verata deck. We're going to pass: we don't lead diagnostic-AI at Series A and our check sits below your round. That's about our mandate, not the business.
Tone matched to your past repliesApprove & send

Integrated with your tools

Use the platform alongside your current workflows. If an integration doesn't exists, we'll build it. No manual entry, no lost context, no missed deals.

AffinityDropboxGranolaOtter AI
Written backNo manual entry
  • AFAffinityOrg created · stage, raise, sector, source mapped
  • DBDropboxDeal folder · deck, memo, transcript filed
  • UBShared UniboxThread linked to the deal, visible to the whole team

The analyst math.

Every inbound company requires the same sequence of small tasks: open the materials, research the business, form a view, record the deal, and respond. None takes long by itself. At volume, the work compounds.

WorkBy handWith DealRiver
Read the materials, research the company, and form a first view~12 minCompleted before review
Create the company and populate CRM fields~6 minSynced automatically
Draft the response~7 minApproximately 30 sec to approve
Convert a call transcript into structured notes~20 minApproximately 1 min to review

What that means at your volume

3,000 inbound companies + 500 intro calls / year

5006,000
06,000

1,330

Analyst hours recovered

33

Full working weeks of capacity

$80,000

Estimated loaded analyst cost

Model assumptions: 25 min per inbound company and 20 min per intro call by hand, versus 1.5 min and 2 min with DealRiver; $60/hour loaded analyst cost and 40-hour weeks.

Integrations

Fully integrated and plugs into your existing tools.

DealRiver reads from the inbox your team uses, books on the calendar already in place, and writes back to your CRM and file storage.

How integrations work

Inbox & calendar

OutlookEmail
GmailEmail
Google CalendarScheduling
Microsoft 365Scheduling

Meetings & notes

ZoomMeetings
Microsoft TeamsMeetings
GranolaTranscripts
Otter.aiTranscripts

CRM & storage

AffinityCRM
DropboxStorage
Google DriveStorage
+Custom buildAnything else

Live, planned, and custom connections are confirmed during implementation. Enterprise integrations are scoped separately around your systems and workflow.

Pricing

One plan, all features.

Monthly platform fee plus AI usage. No setup fee, no per-seat pricing.

Standard platform
$150/mo

USD, billed monthly, plus AI usage.

Book a demo

No setup fee. Screening live deals inside your first week.

Everything included

  • Inbound company screening
  • Shared inbox
  • Research and structured extraction
  • Thesis scoring and recommendation
  • Response drafting
  • Meeting transcript processing
  • CRM, storage sync, and pipeline reporting
  • Ventrium deal sourcing

Enterprise integrations are scoped separately based on the customer's systems and workflow.

Ecosystem partners for curated deal flow

Visibility into 200+ new deals per year.

Through our Ventrium Sciences partnership, DealRiver members access a curated pipeline of healthcare and life sciences companies.

Medical Alley
Medical Alley
Health cluster
Plug & Play
Plug & Play
Global accelerator
Velocity
Velocity
Early-stage accelerator
IRCAD North America
IRCAD North America
Surgical training
Wexford Science & Technology
Wexford Science & Technology
Innovation platform
NCBiotech
NCBiotech
Life science network
UNC Chapel Hill
UNC Chapel Hill
Research university
+ 20 more partners
Explore the Ventrium network
About the Ventrium Sciences network

Frequently asked questions.

DealRiver is an AI deal-screening platform built for early-stage healthcare and medtech VCs. It takes an inbound pitch deck, extracts the key data, researches the clinical and regulatory context a generalist tool would miss, scores the opportunity against your investment thesis, and returns a structured company profile with a Pass, Watch, or Intro Call recommendation, typically in about five minutes per deck.

Deal data is encrypted in transit and at rest, and each fund's data is logically isolated so it is never shared across customers or used to train shared models. Access is scoped to your team, and syncing happens over your existing authenticated connections to Affinity and Dropbox rather than by moving files somewhere new.

Beyond the deck itself, DealRiver pulls the context that matters for a healthcare or medtech decision: CPT codes and reimbursement pathways, predicate device history, active and completed clinical trials, and market sizing with competitive context.

Every deck is scored against your fund's investment thesis, and the recommendation reflects the reasoning behind it, not just a number. The criteria are configurable so recommendations line up with the calls your partners would make.

DealRiver syncs with Affinity and Dropbox. Every screened deck becomes a structured company profile written back to Affinity and stored in Dropbox automatically.

Onboarding starts by connecting your systems and encoding your investment thesis. Most teams are screening live deals within their first week.

DealRiver is a standing pipeline: it ingests inbound decks, extracts and researches them, scores them against your thesis, drafts the reply, and writes the result back to your systems.

The busywork. Your team keeps the judgment and approves every recommendation and reply.

Book a demo

See DealRiver on your own deal flow.

Forward us a real pitch deck and watch the profile build itself.

Raising, not investing?Join the Ventrium network