Company
Snappt specializes in AI-driven fraud detection for the property management industry, protecting landlords from rental application fraud through automated document verification. The company provides instant detection of forged financial documents in tenant applications, filling a critical gap where traditional verification tools have become ineffective in the digital era.
The Challenge
As a growing Series A company, Snappt needed to evolve from a single-product offering to a comprehensive platform strategy to reduce churn and create deeper integrations with Property Management Solutions. Their existing product development process lacked clear accountability structures and defined roles across departments, while the data science function was understaffed for scaling ML capabilities. With landlords losing an average of $1,000 to $5,000 per fraudulent tenant in unpaid rent, property damage, legal fees, and eviction costs (Source: SA Rents), the market presented significant opportunities for expanded solutions. Snappt required new infrastructure and processes to diversify their product portfolio and capture this market potential.
The Solution
A.Team matched Snappt with Gaurav Nukala, an experienced product leader who served as Interim Chief Product and Technology Officer to transform their single SKU into a multi-product AI SaaS portfolio. Nukala brought systematic change through the RACI framework, mapping the entire organization and creating clear accountability from corporate strategy through delivery.
Nukala collaborated with R&D to scale the ML platform, adding classification and extraction components with high accuracy for both existing and new markets. Working with Information Security, he defined roadmaps for SOC2 and CCPA compliance. To build organizational capacity, Nukala created career rubrics, hiring plans, and budgets that gained CEO and board approval. He established "tiger teams" with key representatives from various functions to drive strategic projects and personally piloted a new product discovery process with the product team to ensure sustainable practices and knowledge transfer.
Technologies Used
Google Document AI: Automated document processing and fraud pattern recognition across financial statements
Python: Core ML model development and data pipeline automation
Decision Trees: High-accuracy classification models for fraud detection and document categorization
"Gaurav's tenure as our Interim CPO has been transformative. He swiftly understood our product, market, and culture, establishing a scalable innovation strategy. Under his leadership, we're on track to launch new products and enter new markets, significantly expanding Snappt's TAM."
— Daniel Berlind, CEO of Snappt
The Results
In just six months, Nukala transformed Snappt from a single-product company into a scalable multi-product AI platform with established processes for continuous innovation.
Product Portfolio Expansion
Launched 2 new AI products within 6 months
Revenue Impact
New products improved attach rates of core product by 15%
Market Expansion
Defined new market entry strategy into financial services
Operational Excellence
Established scalable product development processes with clear RACI accountability
