Feature Deep Dive

1. Consolidated Reporting Module

Purpose: Give users a single, accurate view of performance and allocation across their alternative investments.

Functionality:

• Entity-level and portfolio-wide reporting with real-time NAV calculations

• Dynamic filters by asset class, geography, strategy, or manager

• Interactive charts for capital allocation, performance trends, and exposures

• Multi-entity portfolio management with hierarchical data views

• Real-time performance metrics (MOIC, IRR, DPI, annualized yield)

AI Capabilities:

• Normalize inconsistent reporting from GPs and custodians through document processing

• Autofill missing fund metadata based on historical inputs

• Detect anomalies in performance data and flag outliers

• Intelligent fund name resolution and entity matching

 

2. Due Diligence Toolkit

Purpose: Help investors evaluate new fund opportunities more efficiently, with structured

information and fewer manual steps.

Functionality:

• LP Friendliness scoring system with percentile rankings across fees, timelines, and liquidity

• Fund comparison capabilities with detailed term analysis

• Document classification and association with due diligence workflows

• Investment opportunity pipeline with stage tracking

• Due diligence checklist fields (DD Call, Legal & Gov Docs, Subscription Docs)

AI Capabilities:

• Auto-classify uploaded documents and match them to fund records

• Extract fund terms, fees, and structure from offering materials

• Calculate LP Friendliness scores using statistical models and industry benchmarks

• Intelligent fund name matching and entity resolution

 

3. K-1 Automation & Tax Tracker

Purpose: Streamline and de-risk the most painful part of tax season: tracking, extracting, and sharing K-1s.

Functionality:

• Smart inbox for receiving and tagging K-1s with entity-level organization

• Timeline view showing what's arrived, what's missing, and estimated due dates

• Entity-level rollups for tax teams or CPAs with consolidated views

• Tax document classification and processing pipeline

• Sent flags and CPA collaboration features

AI Capabilities:

• Extract key values and source fund info from K-1 documents

• Match K-1s to historical fund allocations for auto-tagging

• Alert users to missing documents based on historical patterns

• Intelligent entity matching and fund name resolution

 

4. Data Consolidation & Document Intelligence

Purpose: Eliminate fragmented data and siloed PDFs across inboxes and shared drives.

Functionality:

• Centralized documentation with filtering by doc type, entity, and fund

• Semantic search across all documents with vector similarity

• Email ingestion pipeline (in development) and file upload processing

• Multi-format document support (PDF, images, etc.)

• Automated document processing with Azure Document Intelligence

AI Capabilities:

• Classify documents on upload (e.g. capital call, quarterly letter, K-1)

• Extract structured data (dates, amounts, fund IDs, and metadata)

• Automatically associate each document with the correct fund, manager, and reporting cycle

• Vector embeddings for similarity search and content retrieval

• Intelligent fund name extraction and entity matching

These features combine to form a full-stack system for alt investment intelligence—rooted in automation, designed for clarity, and scalable across teams. The platform provides comprehensive portfolio management with AI-powered document processing, real-time reporting, and intelligent data consolidation to streamline alternative investment operations.