Rekordsoftware offers an AI‑native platform that unifies data from multiple sources into a single structured view, allowing financial institutions to design, test, and deploy intelligent decision flows for underwriting, onboarding, compliance, and fraud detection. The platform provides visual workflow orchestration, a policy engine, case management, and a simulation environment, enabling real‑time execution with full audit trails and explainability to meet regulatory requirements.
Funding
$2.1M 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.
3OPNFounders
Product
Problem
Financial institutions often rely on disparate data sources and manual decision processes for underwriting, onboarding, compliance, and fraud detection, leading to slow, error‑prone outcomes that are difficult to audit and explain to regulators.
Solution
Rekord provides an AI‑native platform that consolidates all relevant data into a single structured view, enabling teams to design, test, and deploy intelligent decision flows. Users can simulate outcomes with historical data, run A/B tests, and operate in shadow mode to validate models before full production. Once validated, the platform orchestrates end‑to‑end decision execution in real time, while maintaining full audit trails and explainability for regulatory compliance. The solution combines data unification, workflow orchestration, case management, and a policy engine to streamline and automate critical risk decisions.
Target Audience
Primary customers are credit risk, underwriting, compliance, and fraud teams within banks, fintechs, and other financial services organizations that need to automate and govern high‑volume decision processes.
Features
- Unified data view that aggregates and normalizes data from multiple sources into a single source of truth
- Visual workflow orchestration tool for building and managing decision pipelines without extensive coding
- Policy engine that translates business rules into executable decision logic
- Case management interface that presents full context for each decision, supporting manual review when needed
- Simulation environment using historical data for outcome testing, A/B experiments, and shadow deployments
- Real‑time execution engine that runs validated decision flows from data intake to final outcome
- Built‑in audit logging and explainability features to satisfy regulatory and compliance requirements