Our Story
Founded in 2023 in the heart of Boston's innovation district, Horizon emerged from a shared vision between Michael Chen and Sarah Rodriguez. Having spent years in the private equity and artificial intelligence sectors respectively, they identified a critical inefficiency in the investment analysis process that was crying out for innovation.
The genesis of Horizon came from Michael's firsthand experience at Bain Capital, where he witnessed talented analysts spending countless hours on repetitive financial modeling tasks instead of focusing on strategic decision-making. Meanwhile, Sarah's groundbreaking work in AI at Google Brain had demonstrated the potential for machine learning to transform complex financial analysis.
Their collaboration began at a MIT AI symposium, where they realized that combining their expertise could revolutionize how private equity firms evaluate investment opportunities. Within months, they had assembled a team of elite engineers and financial experts, and Horizon was born.
Transforming Private Equity Analysis
The Challenge
Traditional private equity analysis is a time-intensive process that limits the number of opportunities firms can evaluate. Analysts typically spend 40-60 hours per target company, with much of this time dedicated to data gathering, financial modeling, and comparable analysis. This bottleneck means many potentially valuable opportunities are never fully evaluated.
Our Solution
Horizon's AI-powered platform automates up to 90% of the technical analysis process, allowing firms to evaluate 10x more opportunities with the same team size. Our sophisticated algorithms can:
- Process and analyze financial statements in seconds
- Automatically identify and analyze comparable companies using advanced pattern matching
- Generate comprehensive financial models with multiple scenarios
- Provide real-time market insights and trend analysis
- Identify potential red flags and growth opportunities
The Impact
By automating the technical aspects of deal analysis, Horizon allows investment professionals to focus on what matters most: strategic thinking, relationship building, and deal execution. Our clients report:
- 80% reduction in time spent on initial company analysis
- 3x increase in deal pipeline capacity
- 50% improvement in deal sourcing efficiency
- Significant reduction in analysis errors and inconsistencies
Technology That Scales
Our platform leverages cutting-edge technologies including:
- Natural Language Processing for automated document analysis
- Machine Learning algorithms for pattern recognition and prediction
- Real-time data integration with major financial databases
- Cloud-based infrastructure for unlimited scalability
- Enterprise-grade security and compliance measures