AcquireScout — UK Acquisition Intelligence SaaS

About

AcquireScout — UK Acquisition Intelligence SaaSAcquireScout is a production-ready acquisition intelligence SaaS for search funds, independent sponsors, lower-middle-market investors, corporate development teams, M&A advisors, and acquisition entrepreneurs.The platform helps investors find, evaluate, monitor, and manage UK private-company acquisition opportunities using real Companies House data.Instead of manually searching Companies House, spreadsheets, and financial filings, an investor can define an acquisition thesis through structured Buy Boxes, discover relevant companies, evaluate financial information, receive a deterministic acquisition-fit score, monitor deal-relevant changes, and move promising targets through an acquisition pipeline.This is a fully built SaaS product — not a landing-page prototype or mockup.Core Product:Companies House IntelligenceAcquireScout integrates with the official UK Companies House data ecosystem and works with real company information including:Company profilesCompany statusOfficersPersons with Significant Control (PSC)ChargesFiling historyCompany filingsAvailable financial informationFinancial IntelligenceA purpose-built financial extraction pipeline processes filed accounts and extracts available financial metrics such as:RevenueOperating profitEBITDADepreciationDebtLeverageMarginsFinancial periodsThe system includes XBRL/iXBRL financial extraction and has been tested against real company filings.Buy BoxesInvestors can define acquisition criteria including:Target industriesGeographyRevenue rangesEBITDA requirementsFinancial thresholdsAcquisition preferencesThese criteria are then used consistently throughout the matching and scoring workflow.Deterministic Acquisition ScoringCompanies can receive a 0–100 acquisition-fit score with an auditable breakdown.The scoring engine evaluates explicit acquisition criteria and can classify results as:PassPartialUnknownFailedThe numerical acquisition score is deterministic rather than AI-generated, making the investment logic explainable and repeatable.Company MatchingAcquireScout automatically evaluates companies against Buy Boxes and surfaces relevant acquisition opportunities.Investors can filter matches using acquisition and financial criteria rather than manually reviewing every company.Opportunity Radar & SignalsThe platform detects deal-relevant changes and surfaces opportunities through areas such as:New matchesImproving companiesDeteriorating companiesOwnership signalsFinancing signalsHigh-conviction opportunitiesSignals are grounded in underlying company data and filings.Match History & MonitoringInvestors can review historical acquisition-fit results and understand what changed since their previous review.This allows the platform to become an ongoing monitoring system rather than a one-time company search tool.WatchlistsCompanies can be added to watchlists for continued monitoring and future review.Company ComparisonPotential targets can be compared side-by-side to help investors evaluate multiple acquisition opportunities efficiently.Deal ManagementAcquireScout goes beyond company discovery and includes a complete workflow for managing potential acquisitions.Pipeline / CRMCompanies can move through acquisition stages such as:SourcingReviewingInitial ContactQualifiedDiligenceLOINegotiationClosedPassedThe pipeline includes:Deal recordsStage managementTasksNotesActivity historyDeal detailsDeal RoomEach opportunity can have a dedicated Deal Room for organizing acquisition-related information and activities.DiligenceThe platform includes a dedicated diligence workflow for evaluating potential acquisition targets.Investment MemosAcquireScout can generate structured investment memos using available company data and acquisition analysis.Memos can be viewed, downloaded as Markdown, and printed/saved as PDF through the browser.AI-Assisted Acquisition AnalysisThe AI layer supports acquisition workflows including:Natural-language acquisition thesis interpretationCompany summariesRisk summariesDiligence questionsInvestment analysisInvestment memo generationAI is intentionally separated from the deterministic financial and scoring layer.AI does not calculate acquisition scores or financial metrics.SaaS InfrastructureAcquireScout was built as a real multi-tenant SaaS application rather than a single-user prototype.The architecture includes:User authenticationOrganizationsOrganization membersMulti-tenancyPostgreSQLSupabase AuthPostgreSQL Row Level SecurityTenant isolationPlatform administrationBackground synchronizationNotificationsSaved searchesAutomated Data SynchronizationThe application includes scheduled background synchronization through Vercel Cron.The system can process company updates, filings, financial records, and signals without requiring users to manually refresh every company.Stripe Billing InfrastructureStripe billing infrastructure is implemented, including:Hosted CheckoutSubscription handlingBilling PortalWebhook signature verificationDuplicate-event protectionSubscription synchronizationCancellation handlingFailed-payment handlingProduction billing is intentionally not launched yet.The eventual owner can connect their own Stripe account, products, prices, legal/business information, and live webhook configuration.Security & Production HardeningAcquireScout has undergone extensive security and production-readiness testing.Verified areas include:AuthenticationProtected routesSecure cookiesTenant isolationPostgreSQL RLSCron authenticationStripe webhook verificationDuplicate-event protectionSecurity headersSecret scanningAudit loggingDiagnostic checksThe security/RLS test suite includes 84 passing tests covering tenant isolation and access controls.UI/UX & PerformanceThe product has undergone a substantial UI/UX redesign to give it a professional M&A/private-market intelligence experience.Work includes:Production-grade SaaS design systemResponsive layoutsMobile optimizationNavigationTablesFormsCompany detail pagesPipeline interfaceLoading and skeleton statesEmpty/error statesAccessibility improvementsPublic marketing pagesCompany workflows were also optimized so stale Companies House data does not block the user from seeing already-stored company information.During performance testing, company names appeared approximately 78–110ms after selection, while stale-company pages opened in approximately 118–348ms without waiting for a full synchronization.Testing & VerificationThe latest test suite reports:669 tests passed / 0 failedIncluding:528 unit/component tests84 security/RLS tests29 integration tests28 E2E testsAdditional checks passed:TypeScript typecheckLintFormattingProduction buildVerification suiteProduction smoke testsSecurity-header checksSecret scanTenant-isolation checks