Predictive Deal Sourcing Engine
Proactively spots and ranks potential investment opportunities by fusing fund thesis parameters, CRM intelligence, and alternative data signals. The engine deploys parallel scenario reasoning to surface evidence-backed targets with probability-weighted conviction scores, compliance flags, and warm introduction pathways.
How It Works
The engine ingests the fund's investment thesis, historical deal data, and real-time market signals across 14 alternative data channels. Using MPPT-CoT multi-branch reasoning, it scores each target across financial fit, strategic alignment, and regulatory clearance dimensions. Outputs are cryptographically anchored to source evidence for full audit traceability.
MPPT-CoT Execution Framework
Intake & Specification Lock
Secure data ingestion with schema checks and specification confirmation.
Evidence Kernel Retrieval
Cryptographic checks and provenance anchoring of all source data.
Multi-Branch Scenario Review
Parallel scenario forking across base, adverse, and adversarial conditions.
Evidence-Locked Deliverable
Board-ready output with complete audit trails and ownership mapping.
Key Performance Indicators
Source Documentation
Deliverable Outputs
Execute Predictive Deal Sourcing Engine
Provide the required inputs below to initiate the MPPT-CoT review pipeline. Your data will be processed by our AI-powered review engine, producing genuinely tailored, evidence-locked deliverables specific to your submission.
Your fund's investment thesis document defining target criteria, sector focus, and return expectations.
Export from your CRM system (Salesforce, HubSpot, DealCloud, etc.) in CSV or JSON format.
Specific criteria, requirements, or standards to judge against.
Numeric threshold value for scoring, filtering, or alert triggering in the review.
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