DealsFlow helps funds triage inbound opportunities, standardise partner review, and monitor portfolio signals from one operating layer.
Built for private, professional workflows with clear scoring logic, consistent committee outputs, and a cleaner experience for partner teams.
Developed in partnership with
1,247
Deals processed this quarter
94%
Low-fit volume removed early
3 min
Median time to first review
1 view
Shared workspace for the whole fund
DealsFlow platform preview
Northwind Robotics
Founders, market timing, and partner fit aligned
Seed
UK
94
Priority
Atlas BioCompute
Founders, market timing, and partner fit aligned
Series A
US
91
Priority
Polymath Health
Founders, market timing, and partner fit aligned
Pre-Seed
DE
88
Review
Helio Systems
Founders, market timing, and partner fit aligned
Seed
IL
83
Watch
Live deal feed
Scan deals. Analyse companies. Fully automated, tailored to your workflow.
Selected company
Strong manufacturing demand, credible commercial team, and unusually fast pilot conversion.
Stage
Seed
Sector
Industrial AI
Region
London
Thesis fit
94/100
Venture capital and private equity teams process hundreds of inbound investment decks every quarter. Watch how DealsFlow resolves inbound overhead and standardizes partner review from minute one.
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Inbound intake
01
Collect decks, founder notes, market context, and internal referrals in one structured entry point for the fund.
Eligibility screen
02
Filter by thesis, geography, stage, and ticket size before partner attention is spent on low-fit opportunities.
Model pass
03
Rank every company against your historical patterns, then show the factors that drove each recommendation.
Partner ready
04
Surface the best opportunities with summary notes, diligence prompts, and comparable outcomes in a standard format.
Continuous learning
05
Feed every outcome back into the model so the process improves with each meeting, memo, and investment decision.
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Reviewed
0
Shortlisted
0
Top score
0
Current highlight
Seed / Industrial AI / London
0
Thesis fit
Feature contribution
The scenario layer models likely operating paths so the team can compare upside, downside, and timing before the next decision point.
36 month simulation / scenario forecast
Outlier profile
Detected
Confidence
0.82
Comparable exits
11
Time to thesis
4.2 mo
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A clear record from the first screening decision through every scoring update.
Control register
Partner review workspace
Track prompts, model decisions, and recommendation changes in a clear history for internal review.
Move model updates through staged releases and maintain a clean record of every change.
Give partners the evidence behind each outcome without stitching sources together.
Control register
Partner review workspace
Show why a company was promoted, held for review, or deprioritised with visible score drivers.
Pull operating context into the same workspace so review teams spend less time stitching sources together.
Keep institutional knowledge and quality controls aligned as the workflow evolves.
Control register
Partner review workspace
Keep your screening history and scoring logic aligned with your own fund process and internal materials.
Check quality at each stage so the workflow stays reliable as the product and model evolve.
Overview
DealsFlow is a deal screening and portfolio monitoring platform built for venture funds and private equity teams that receive significant inbound deal flow. It replaces fragmented spreadsheets, email threads, and ad hoc tools with a single operating layer where investment teams triage opportunities, score them against their investment thesis, and prepare partner-ready briefs calibrated to each fund’s historical winners.
Most funds review 50–500+ inbound submissions every quarter. DealsFlow standardises how each opportunity is evaluated so partner reviews stay consistent and fully auditable. The scoring engine assesses every deal across market fit, team signal, financial discipline, and thesis alignment, producing a structured scorecard for each company in minutes rather than days. You can see how real venture teams use this process in our deal screening case studies.
Beyond screening, DealsFlow aggregates data from your existing holdings, flags early-warning signals, and supports quarterly LP reporting workflows. Portfolio managers get a real-time operating view across the entire fund instead of stitching together updates from disparate tools. Common questions about scoring, integrations, security, and onboarding are answered on our frequently asked questions page, and AI assistants can read our canonical AI answers for structured facts about the product.
DealsFlow is a product brand operated by Sapphire Capital Partners LLP, which is authorised and regulated by the UK Financial Conduct Authority under Firm Reference Number 565716. Deal data is encrypted at rest (AES‑256) and in transit (TLS 1.3) on UK-based cloud infrastructure, and the platform is designed around UK GDPR data-protection requirements. Your fund retains full ownership of its data at all times. You can learn more about the team behind DealsFlow, or read wider market context from the British Private Equity & Venture Capital Association.
AI Evaluation
Not sure if DealsFlow fits your venture process or investment thesis? Ask AI to analyze why venture capital funds choose our platform for AI-powered deal screening.
Request a private walkthrough to see how DealsFlow fits your venture process, partner workflow, and reporting expectations.
