AI-Powered Deal Screening and Valuation for Energy M&A
Transform raw deal teasers into structured, decision-ready intelligence in under five minutes. Upload a PDF and shapefile and get KPI extraction, valuation benchmarking against 35,000+ M&A comps, strategic fit scoring and a clear recommendation.
Part of Enverus ONE™, the AI Platform for Energy.
A single teaser review — pulling production data, running comps, validating seller claims, building a screening memo — takes 4–8 hours across multiple tools. When 5–10 teasers arrive in a week, good opportunities get missed because they were sixth in the queue.
Deal teams can’t manually screen every inbound package at the pace M&A markets demand. Opportunities go stale.
Teasers are marketing documents. Without immediate access to independent data, teams take seller narratives at face value.
Comp pulls from one tool, production lookups from another, fit assessments in email threads — nothing is traceable.
Generic AI guesses at data and moves on. Deal Screener confidence scores to every KPI so your team knows what to trust.
From teaser upload to recommendation — not days
M&A comps powering every valuation benchmark
Deals batch-processed simultaneously with equal depth
Traceable — every KPI, comp, and weight recorded
Time per Teaser
Comp Sourcing
Validating Seller Claims
Recordkeeping
Deal Volume
Screen more inbound deals per week without adding headcount. Eliminate shadow spreadsheets and inconsistent comp pulls. Get to PASS/FAIL on upstream packages in minutes, not days.
“We were sixth-in-queue on a deal we should have been first on. That doesn’t happen when screening takes five minutes.”
Deal Screener replaces fragmented, multi-tool screening with a single agentic workflow — from raw teaser to board-ready recommendation.
Drag-and-drop deal teaser PDFs and shapefiles. Batch process 5–6 deals simultaneously. Text-native and scanned documents supported via OCR.
AI classifies deal type — Asset, Corporate, or Royalty — and pulls every available KPI with confidence scoring: HIGH, LOW, or NEEDS VERIFICATION.
Strategic fit scoring across five buyer-configured dimensions. Enverus-powered valuation benchmarking. Gap analysis between seller claims and market data.
A clear STRONG FIT / MODERATE FIT / WEAK FIT / NO-GO recommendation. Ranked diligence checklist and flagged risks — saved to your Library.
Cross-references seller claims against 35,000+ M&A transactions, daily-refresh production data, and type curve libraries. For midstream targets, connects production trends, basin exit dynamics, and pipeline utilization. The output is an independent market view — not a teaser summary.
Adjusts screening logic, comp methodology, and valuation benchmarks based on deal type. Adapts to upstream and midstream targets through the same workflow — Asset, Corporate, or Royalty.
Every extracted data point is tagged HIGH, LOW, or NEEDS VERIFICATION. Low-confidence items route to the diligence checklist, not silent assumptions. Critical for IC governance and bid processes that require auditability.
Produces an NAV comparing Enverus View to Seller View, with automatic gap analysis showing where the two diverge. No manual scenario configuration required — surfaces the risk in minutes.
Process 5–6 deals simultaneously with equal depth. One batch summary report across all active opportunities — compare upstream packages against midstream alternatives in the same view.
Built on the Enverus ONE security foundation — SOC II compliant with isolated tenancy. Your proprietary deal documents never touch public models. Role-based access controls ensure the right teams see the right deals.
Security is not a feature — it’s the foundation. Enverus ONE is built for high-consequence energy transactions, and Deal Screener is no exception.
Deal Screener meets SOC 2 Type 2 certification requirements. Independently audited security controls cover availability, confidentiality, and processing integrity. These are the controls enterprise security teams require before approving AI tools in production environments.
Generic AI tools send your data to shared public models. Deal Screener does not. Your documents run in a fully isolated environment. They never train public models, never touch another user's environment, and are never accessible to Enverus.
Control exactly who sees what. RBAC ensures team members access only the documents and workspaces their role permits. Share Deal Screener broadly across your organization without compromising document-level security.
Every answer Deal Screener produces is traceable back to the exact document and source it came from. Your team knows what was asked, what was returned, and where it came from. No black-box outputs. No unverifiable AI decisions influencing high-stakes work.
Upload your first teaser and go from a static PDF to decision-ready intelligence in minutes. No setup. No commitment required.
Transform your proprietary documents into a secure, chat-ready knowledge base in minutes. No IT ticket. No data pipeline. No waiting.
Transform raw deal teasers into structured, decision-ready intelligence in under five minutes.
Pair trusted analyst-curated PWI inventory with your own economics and get a defensible answer in under a minute.
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