The startup offers a risk decision platform that automates decision-making processes for companies, utilizing continuously improving rules and models to minimize false positives and reduce churn from delayed decisions. This technology enables efficient management of fraud, credit, and compliance risks by empowering analysts to confidently write rules and review cases.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many companies face challenges in automating complex decision-making processes, leading to delayed decisions, increased false positives, and customer churn. Existing solutions often require extensive coding and deployment cycles, hindering agility and optimization.
Solution
Sperta offers a no-code decision engine that enables businesses to automate and optimize critical decisions related to fraud, credit, insurance, and compliance. The platform allows users to build, test, and deploy decision workflows through a drag-and-drop interface, eliminating the need for code changes or lengthy deployment processes. By integrating with various data sources and offering features like workflow versioning, backtesting, and experimentation, Sperta empowers analysts to iterate quickly, reduce risk, and improve approval rates. The platform also provides case management tools for handling complex scenarios that require manual review.
Target Audience
Sperta targets fintech, e-commerce, and financial services companies that need to automate and optimize high-volume decisions related to fraud detection, credit risk assessment, and regulatory compliance.
Features
- No-code workflow builder with drag-and-drop interface
- Expression language for building custom rules and logic
- Pre-built integrations with industry-leading data vendors
- HTTP connectors for integrating with any API
- Workflow versioning, backtesting, and A/B testing capabilities
- Case management module for manual review of complex cases
- SOC 2 and HIPAA compliant data security
- Role-based access control