RegorTech provides an enterprise platform that integrates robotic process automation, AI/ML, big‑data analytics, IoT, and cybersecurity into a single control plane. The low‑code studio, plug‑and‑play AI modules, and real‑time analytics engine enable organizations to orchestrate workflows across on‑premise and cloud environments while enforcing zero‑trust security and unified governance.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often operate with disconnected automation, analytics, and security tools, which creates integration overhead, data silos, and inconsistent governance. The resulting complexity hampers real‑time decision‑making and exposes digital assets to evolving cyber threats.
Solution
RegorTech delivers a modular, enterprise‑grade platform that unifies robotic process automation, artificial intelligence, big‑data analytics, machine learning, Internet of Things, and cybersecurity services under a single control plane. Each capability is exposed through a common data model and a standards‑based API, enabling seamless orchestration of workflows across on‑premise and cloud environments. The platform provides a low‑code designer for RPA bots, plug‑and‑play AI inference modules, and a real‑time analytics engine that aggregates IoT streams and transactional data. Integrated security controls enforce zero‑trust policies and continuous threat monitoring, while the unified dashboard offers role‑based insights for operations, compliance, and business leadership. By consolidating these functions, RegorTech reduces integration costs, accelerates time‑to‑value for automation projects, and strengthens the organization’s security posture.
Target Audience
Primary customers are large enterprises and mid‑market organizations in manufacturing, logistics, finance, and smart‑city domains that require coordinated automation, analytics, and security across heterogeneous IT landscapes. The solution also serves system integrators and managed‑service providers building turnkey digital‑transformation projects.
Features
- Drag‑and‑drop RPA studio with pre‑built connectors for ERP, CRM, and legacy systems
- Library of ready‑to‑deploy AI/ML models for predictive maintenance, fraud detection, and demand forecasting
- Scalable big‑data pipeline built on Apache Spark and Kafka for real‑time ingestion of IoT sensor streams
- Edge‑compute runtime that processes data locally and synchronizes with the central platform via secure MQTT
- Zero‑trust security framework with adaptive authentication, micro‑segmentation, and automated vulnerability scanning
- OpenAPI‑compliant integration layer supporting REST, gRPC, and GraphQL for custom application coupling
- Centralized governance console with role‑based access control, audit logging, and compliance templates (ISO 27001, GDPR)
- Unified analytics dashboard with customizable KPI widgets, anomaly detection alerts, and export to BI tools