Standd provides private credit and PE firms with continuous, real-time portfolio monitoring using autonomous agents and proprietary predictive models to surface risk signals before they appear in financials.
Product
Standd
Headquarters
United States
Founders
Julie Saltman, Stephen Solka
Last updated
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What Standd does
The platform's autonomous agents track macro, market, and company-level signals across portfolios, building cumulative knowledge over time. It offers dynamic scenario modeling, strategy testing, and custom reporting to support capital deployment, position monitoring, and exit decisions. Standd differentiates from LLM-based tools by continuously monitoring without prompts, compounding intelligence, and enabling pre-commitment simulation.
What it does
Standd core capabilities
Autonomous Agents
Continuously research portfolio and market signals without prompting
Proprietary Predictive Models
Monitor macro, market, and company signals to flag deterioration early
Dynamic Scenario Modeling
Test strategies and simulate position evolution before committing
Compounding Knowledge Base
Learns your firm's perspective and builds cumulative intelligence over time
Custom Reporting
Generates reports tailored to your portfolio and decision needs
Technical specifications
- Proprietary predictive models (not LLM-based)
- Single-tenant architecture by default
- SOC 2 Type II compliant
- Independently audited security controls
- Built with former DoD scientists
- Also builds Hey, Lefty autonomous research agent
Who it is for
Who Standd is built for
Target audience
- In-House Legal Teams
Case studies
No case studies yet
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Trust & compliance
Standd security at a glance
Security certifications
Named enterprise customers
Pricing details
Standd pricing
Starting price
Pricing model
Free version
Product videos & screenshots
See Standd in action
Product interface
Standd Interface
Comparisons
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Transparency
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FAQs
Frequently asked questions about Standd
Unlike LLM tools that respond only when prompted, Standd's autonomous agents monitor continuously, compound knowledge over time, and simulate scenarios to predict outcomes rather than just summarize existing data.
Standd detects covenant stress, revenue anomalies, acquisition windows, collections pressure, and other macro, market, and company-level signals before they appear in financial statements or lender reviews.
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