Trigo Data Analysis: $125K Raised
What is Trigo Data?
Trigo Rent Verification provides verified rent history directly from the source for resident screening and loan underwriting. Its product includes real-time rent payment updates, 30 plus data fields in a console or API, and pricing starting at 12.99 dollars per applicant. The company says its coverage can reach 75 percent within 48 hours and claims 50 percent lower first-party fraud and 17 percent more loans written using rent history.
Location
New York, United States
Employees
1-10
Founded
2022
Business Model
Real-time rent verification API; revenue from subscription and demo services.
Product Features & Capabilities
- Rent verifications, real-time rent history, access to rent payment history, 30+ additional fields, continuous access with real-time updates, fully-integrated API, rent verifications starting at $12.99 per applicant, 50% reduction in first-party fraud, 17% more loans can be written using rent history, 75% rent data coverage within 48 hours.
Pricing
- Rent verifications starting at $12.99 per applicant.
How much Trigo Data raised
Seed - $125K
2023Lead Investor: Y Combinator
Who are the founders of Trigo Data
SS
Sam Stein
Co-founder & CEO
AW
Abe Wheeler
Co-founder & CTO
Investors
- Y Combinator
- Four Acres Capital
- 2 other investors (specific names not disclosed)
Market Focus
Trigo Data primarily focuses on the real estate and financial services industry, specifically in providing verified, real-time rent history and enhancing tenant screening and loan writing capabilities.
Competitors Overview
Trigo Data operates in the rent verification market, providing verified, real-time rent history to help businesses evaluate applicants and reduce bad debt. Its main competitors include:
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Nomitri: Specializes in AI-enabled human picking and packing solutions, leveraging embedded visual AI technology for retail and logistics. While not directly in rent verification, its technology can enhance operational efficiency in related sectors.
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PIXEVIA: Focuses on autonomous and unmanned store technology, providing an AI-powered platform for automated shopping experiences. Similar to Nomitri, it emphasizes automation but in a retail context.
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Sensei: Offers autonomous retail experiences using AI and computer vision technology, enhancing the shopping process. Like PIXEVIA, it targets retail automation rather than rent verification.
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SMS Storetraffic: Provides people counting and analytics solutions for physical locations, helping retailers analyze traffic trends and improve sales performance.
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InfiViz: Utilizes image recognition and AI to enhance in-store execution and sales metrics, offering visual intelligence for retail.
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Rallyware: Focuses on personalizing sales training and engagement for sellers, boosting sales productivity for global retailers.
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LEAFIO: Specializes in demand-driven replenishment and supply chain optimization, helping retailers manage inventory effectively.
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AiFi OASIS: Delivers a hybrid shopping experience with checkout-free technology, enhancing customer convenience and operational efficiency.
Notable differences include the specific technologies and applications each competitor emphasizes. For instance, while Nomitri focuses on human picking and packing, PIXEVIA and Sensei are more centered on creating fully autonomous shopping environments. This specialization can provide advantages depending on the specific needs of retailers, such as operational efficiency or customer experience enhancement.
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