KronosX provides an agentic data layer that automates discovery, cleaning, de‑identification, and synthetic data generation directly within enterprise pipelines, delivering compliant, ready‑to‑use data in minutes. Its SEALS‑X autonomous agents continuously analyze raw data to detect sensitive fields and apply context‑aware privacy controls, while the Knox Engine enforces dynamic PII/PHI policies, logs transformations, and offers audit trails. A unified orchestration hub lets teams monitor and manage these agents across development, testing, and AI environments, accelerating projects for regulated industries.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises in regulated industries often face lengthy, manual processes to prepare data for development, testing, and AI training, while also needing to ensure strict privacy and compliance with PII/PHI regulations. Delays in data readiness and the risk of non‑compliant data handling can hinder innovation and increase operational costs.
Solution
KronosX offers an agentic data layer that automates data discovery, cleaning, de‑identification, and synthetic data generation directly within existing pipelines. Its SEALS‑X autonomous agents continuously analyze raw data, detect sensitive fields, and apply context‑aware privacy controls in real time. The Knox Engine enforces dynamic PII/PHI policies, logs every transformation, and provides audit trails across development, testing, and AI environments. A centralized orchestration hub lets teams visualize agent activity, set execution guardrails, and fine‑tune performance to meet compliance goals. By delivering compliant, ready‑to‑use data in minutes instead of weeks, KronosX accelerates data‑driven projects while reducing privacy risk.
Target Audience
Primary customers are regulated enterprises such as financial services, healthcare, and life‑science organizations that need rapid, compliant data preparation for software development, QA testing, and AI model training.
Features
- SEALS‑X agents that auto‑discover data schema, anomalies, and sensitive fields without manual configuration
- Real‑time detection and contextual de‑identification of PII/PHI with high precision
- Generation of high‑fidelity synthetic, masked, or safe‑copy datasets for testing and AI training
- Knox Engine privacy governance layer that enforces dynamic policies, monitors transformations, and provides full audit logs
- Unified command and orchestration hub for visualizing, managing, and optimizing autonomous agents across the enterprise stack
- Integration points for existing development, testing, and AI pipelines to enable plug‑and‑play deployment