Seizedata provides DaZoom, a suite of RESTful APIs that automatically classify and enrich unstructured financial and transactional text data into structured, actionable information. The platform delivers services such as cash‑flow forecasting, asset‑management insights, and product‑matching recommendations, enabling banks, fintechs, and enterprises to integrate high‑accuracy data processing without building their own parsing engines. Custom API development is also offered for partner‑specific use cases.
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.
Founders
Product
Problem
Financial institutions and enterprises often receive large volumes of unstructured transaction data (e.g., bank statements, card records, vehicle maintenance logs) that are difficult to classify, aggregate, and transform into actionable insights. Without reliable processing, building credit‑scoring models, demand forecasts, or personalized product recommendations becomes time‑consuming and error‑prone.
Solution
Seizedata offers the DaZoom platform, a suite of data‑processing APIs that automatically classify raw financial and non‑financial text records, generate structured summary fields, and provide ready‑to‑use service‑logic outputs such as cash‑flow forecasts and product‑matching recommendations. The APIs handle diverse sources—including bank accounts, credit cards, public records, and vehicle service histories—and return enriched, standardized data that can be directly consumed by analytics pipelines or downstream applications. By exposing the functionality through RESTful endpoints, clients can integrate the service quickly without building in‑house parsing engines. Seizedata also supports custom API development for partner‑specific use cases, enabling B2B collaborations that extend the core capabilities to niche domains. The solution emphasizes high classification accuracy (≈95% on financial transaction data) and rapid deployment, typically within four weeks from decision to production.
Target Audience
Primary customers are banks, fintech firms, and other financial service providers that need to transform raw transaction logs into structured analytics, as well as enterprise partners seeking custom data‑processing APIs for credit scoring, demand forecasting, or personalized product services.
Features
- Information classification API that precisely tags raw transaction entries by type, category, and attributes
- Summary item generation that aggregates classified data into count, amount, and period metrics for marketing and risk profiling
- Service‑logic APIs for cash‑flow prediction, asset‑management insights, and optimal product recommendation based on transaction patterns
- Custom API development for partner‑specific data processing requirements
- High‑accuracy models (≈95% classification accuracy on financial data) with continuous updates for all major banks, card issuers, and public data sources
- Fast integration via RESTful endpoints; typical onboarding completed within four weeks
- Scalable cloud infrastructure ensuring low latency and secure data transmission