Professional deal screeningfor venture teams that needclarity at scale.

    DealsFlow helps funds triage inbound opportunities, standardise partner review, and monitor portfolio signals from one operating layer.

    dealflow / shell
    $ dealflow > review every inbound company in one workspace.

    Built for private, professional workflows with clear scoring logic, consistent committee outputs, and a cleaner experience for partner teams.

    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

    dealflow.app / partner workspace

    DealsFlow platform preview

    CompanyStageRegionThesis fit

    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

    A cleaner view of inbound opportunity flow

    Scan deals. Analyse companies. Fully automated, tailored to your workflow.

    Selected company

    Northwind Robotics

    Priority

    Strong manufacturing demand, credible commercial team, and unusually fast pilot conversion.

    Stage

    Seed

    Sector

    Industrial AI

    Region

    London

    Thesis fit

    94/100

    I / Workflow

    Move from inbound volume
    to partner conviction with a structured system.

    DealsFlowDealsFlowturnsturnsscreeningscreeningintointoaavisiblevisibleoperatingoperatingprocess.process.EachEachstagestageisismeasurable,measurable,explainable,explainable,andandeasiereasierforforthethewholewholefundfundtototrust.trust.

    Inbound intake

    01

    Capture

    Collect decks, founder notes, market context, and internal referrals in one structured entry point for the fund.

    1,247companies reviewed this quarter

    Eligibility screen

    02

    Apply fit rules

    Filter by thesis, geography, stage, and ticket size before partner attention is spent on low-fit opportunities.

    68%volume reduced automatically

    Model pass

    03

    Score and explain

    Rank every company against your historical patterns, then show the factors that drove each recommendation.

    20 to 40weighted decision features

    Partner ready

    04

    Prepare review

    Surface the best opportunities with summary notes, diligence prompts, and comparable outcomes in a standard format.

    Top 3%move to partner review

    Continuous learning

    05

    Close the loop

    Feed every outcome back into the model so the process improves with each meeting, memo, and investment decision.

    Ongoingcalibration after each cycle
    II / Scoring

    Train the model on what matters to your fund.

    DealsFlowDealsFlowcalibratescalibratesagainstagainstyouryourownownmemos,memos,outcomes,outcomes,andandpatternpatternrecognitionrecognitionsosoeacheachscorescorereflectsreflectsyouryourinvestmentinvestmentstylestyleratherratherthanthanaagenericgenericbenchmark.benchmark.

    Structured around your historical decisions
    Transparent feature contribution on every score
    Consistent outputs for analysts, principals, and partners
    Model calibration / partner scoring view

    Reviewed

    0

    Shortlisted

    0

    Top score

    0

    Current highlight

    Northwind Robotics

    Seed / Industrial AI / London

    0

    Thesis fit

    Feature contribution

    Founder-market fit
    92
    Revenue quality
    86
    Market timing
    78
    Capital efficiency
    71
    Reference strength
    64
    Execution risk
    39
    III / Scenario view

    Understand where a company could go,
    not only where it is today.

    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

    Northwind Robotics

    Base case
    Upside
    Downside
    M0M6M12M18M24M30M36Outlier growth profile

    Outlier profile

    Detected

    Confidence

    0.82

    Comparable exits

    11

    Time to thesis

    4.2 mo

    IV / Controls

    Built for professional review,
    and ready for scrutiny.

    DealsFlowDealsFlowisisdesigneddesignedforforrealrealinvestmentinvestmentworkflows,workflows,wherewhereeveryeveryscorescoreshouldshouldbebetraceable,traceable,everyeverychangechangeshouldshouldbebecontrolled,controlled,andandeveryeveryoutputoutputshouldshouldstandstandupupininpartnerpartnerdiscussion.discussion.

    Audit trail

    Track prompts, model decisions, and recommendation changes in a clear history for internal review.

    Versioned scoring

    Move model updates through staged releases and maintain a clean record of every change.

    Explainable outputs

    Show why a company was promoted, held for review, or deprioritised with visible score drivers.

    Diligence support

    Pull operating context into the same workspace so review teams spend less time stitching sources together.

    Private fund context

    Keep your screening history and scoring logic aligned with your own fund process and internal materials.

    Continuous evaluation

    Check quality at each stage so the workflow stays reliable as the product and model evolve.

    Overview

    AI-powered deal screening for venture capital and private equity

    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.

    Screen inbound deal flow with a consistent process

    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.

    Monitor your portfolio from one operating view

    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.

    Built on regulated, secure UK foundations

    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.

    Support

    Common Questions

    Bring more discipline to inbound screening.

    Give your team a cleaner operating layer.

    Request a private walkthrough to see how DealsFlow fits your venture process, partner workflow, and reporting expectations.