Sinky is an AI-native decision infrastructure platform that unifies data, AI models, rules, and workflows to automate and govern critical business decisions such as credit underwriting, fraud prevention, and compliance. The platform enables teams to consolidate fragmented decision pipelines into a single auditable system, with customers reporting an 85% reduction in manual review workload and 100% auditable decisions.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Financial Technology
- Insurance Technology
- Regulatory & Compliance Technology
- Software Only
Funding
Funding not disclosed
- saasholic.com (opens in a new tab)investor website
Founders
Product
Problem
Enterprises rely on fragmented, manual, and slow systems to make critical decisions across credit, fraud, onboarding, and compliance. These disconnected pipelines create bottlenecks, increase operational risk, and make it difficult to govern or audit decision processes effectively.
Solution
Sinky provides an AI-native decision infrastructure platform that unifies data, AI models, rules, and workflows into a single system. The platform connects internal and external data sources—such as credit bureaus, ERP systems, and anti-fraud tools—and enables teams to design, automate, and monitor decision pipelines with full governance. Sinky supports dynamic, explainable decisioning through machine learning and statistical models, while maintaining complete audit trails for every decision. The platform is designed to evolve with business needs, allowing teams to adjust policies and models without engineering overhead.
Target Audience
Primary customers are teams responsible for credit operations, fraud prevention, compliance and risk, customer onboarding, portfolio monitoring, and operational decisioning across banks, fintechs, insurance, retail, marketplaces, and other data-intensive industries.
Features
- Unified decision layer that consolidates data, policy logic, AI models, and execution into one platform
- AI/ML-powered recommendations with decision explainability and pattern detection
- Integration with credit bureaus, Open Finance, ERP, CRM, anti-fraud systems, and public databases
- Full auditability of every decision with governance controls
- No use of client data for training public foundational AI models; data confidentiality maintained
- Decision support mechanisms that leave final approval authority with the client