Jolin provides an AI‑driven low‑code platform that automates end‑to‑end data workflows across on‑premise databases, SaaS APIs, and streaming services, normalizing data into a unified schema for real‑time analytics and decision‑support dashboards. The solution includes a visual workflow builder, AI‑assisted schema mapping, pre‑built connectors, embedded machine‑learning inference, and enterprise‑grade security and governance features.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often rely on fragmented data pipelines and manual processes to move information between legacy systems, which leads to high operational overhead, delayed insights, and increased risk of errors. The lack of a unified, real‑time analytics layer makes it difficult for decision makers to act on up‑to‑date information across business functions.
Solution
Jolin delivers an AI‑driven automation platform that orchestrates end‑to‑end data workflows across heterogeneous sources. The system uses a low‑code visual designer to model complex business processes, while built‑in AI components automatically map, cleanse, and enrich incoming data streams. Integrated connectors pull data from on‑premise databases, SaaS APIs, and event hubs, normalizing it into a unified schema for immediate consumption. Real‑time analytics modules apply machine‑learning models to generate actionable insights and decision support dashboards that update continuously. The platform’s cloud‑native architecture scales elastically, ensuring consistent performance as data volumes grow. Role‑based access controls and audit trails enforce governance and compliance throughout the workflow lifecycle. By eliminating manual data handling, Jolin reduces processing time and frees staff to focus on higher‑value activities.
Target Audience
The primary customers are data‑intensive enterprises—such as finance, supply chain, and marketing organizations—that need to automate cross‑system workflows and deliver real‑time analytics to business users and executives.
Features
- Visual workflow builder with drag‑and‑drop nodes for data ingestion, transformation, and routing
- AI‑assisted schema detection and auto‑mapping for rapid integration of new data sources
- Pre‑built connectors for ERP, CRM, cloud storage, and streaming platforms (Kafka, Kinesis, etc.)
- Real‑time streaming engine that supports sub‑second latency analytics and alerting
- Embedded machine‑learning inference layer for predictive scoring and anomaly detection within pipelines
- Centralized data catalog with lineage tracking, versioning, and impact analysis
- RESTful and GraphQL APIs for programmatic access and custom extension development
- Enterprise‑grade security: RBAC, SSO (SAML/OIDC), encryption at rest and in transit, and comprehensive audit logging