Kruncher's agents work like a team of specialist analysts, each purpose-built for a specific private-market task. Reading pitch decks, financial statements, call transcripts, registry filings, and competitor sites; scoring against your configurable criteria; routing the result to the right partner. 95%+ accuracy. No prompting required.
A modular set of agents to automate research, diligence, reporting, and monitoring.
Evaluates founders' professional backgrounds, fundraising experience, and leadership qualities using data from Crunchbase, LinkedIn, Apollo, Hunter, and Glassdoor.
Analyzes team structure, departmental distribution, tenure, and current job openings to assess organizational health.
Estimates team salary ranges based on roles, experience, and industry benchmarks.
Identifies and analyzes direct competitors, highlighting market positioning and differentiators.
Calculates TAM, SAM, and SOM metrics.
Monitors changes in company structure, strategy, and growth over time.
Processes and summarizes key insights from company pitch decks.
Analyzes financial statements to assess solvency, profitability, and liquidity.
Compares projected budgets against actual performance to identify variances.
Automatically generates comprehensive investment memos summarizing key insights.
Compiles and formats reports for Limited Partners, highlighting portfolio performance.
Generates slide decks for Investment Committee meetings.
Scores companies based on thesis alignment and strategic fit.
Evaluates website traffic to gauge online presence and growth.
Assesses go-to-market strategies and channels.
Evaluates business model components and revenue streams.
Summarizes key traction metrics like growth and adoption.
Compiles past rounds, investors, and valuation changes.
Creates dashboards tracking relevant KPIs.
Alerts on executive changes, funding rounds, and other key events.
Automates email notifications based on triggers and events.
Sends automated requests to founders for progress updates.
Finds missing data and initiates requests to fill gaps.
Validates and tracks employee counts over time.
Assesses branding for consistency and market appeal.
Compares pricing strategies against competitors.
What Kruncher Does with AI Agents
Kruncher's 30+ specialized AI agents work like a team of analysts, each purpose-built for a specific private-market task. Pitch-deck reading, financial-statement parsing, call-transcript synthesis, registry-filing ingestion, competitor-website analysis, KPI extraction, signal classification, each agent focused on one thing, scored at 95%+ accuracy. No single-shot LLM trying to do everything; specialized tools, run in parallel, with human-grade output.
Adaptive means each agent runs through your fund's configured criteria. The deal-scoring agent uses your scoring rubric, the memo-generation agent uses your committee's template, the signal-classification agent uses your sector-specific thresholds. Two funds running the same agent on the same company get different outputs, each tuned to their fund's lens. The agents adapt; they don't impose.
Agent outputs compound inside your isolated Microsoft Azure tenant. Every override, every correction, every accepted result sharpens future agent behavior on similar inputs. ISO 27001, SOC 2 Type II, GDPR. The agents that serve your fund are tuned by your fund's feedback alone, no shared learning across customers, no other fund's overrides influencing your agents' decisions.
Meet our data & AI experts: we’ll walk through your workflow and data sources.
