Enterprises rely on fragmented, manual processes to move data between cloud applications, on‑premise systems, and secure databases. Without a unified automation layer, employees must write custom code or perform repetitive UI actions, leading to high error rates, operational bottlenecks, and limited scalability. Atomatik delivers a no‑code hyperautomation platform that lets business users design end‑to‑end workflows through a visual drag‑and‑drop canvas.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises rely on fragmented, manual processes to move data between cloud applications, on‑premise systems, and secure databases. Without a unified automation layer, employees must write custom code or perform repetitive UI actions, leading to high error rates, operational bottlenecks, and limited scalability.
Solution
Atomatik delivers a no‑code hyperautomation platform that lets business users design end‑to‑end workflows through a visual drag‑and‑drop canvas. The platform combines UI automation, AI‑driven self‑healing, and configurable agentic AI components to extract, validate, and act on data without writing code. Integrated heuristic algorithms monitor changes in target applications and automatically adjust selectors, preventing failures caused by UI updates. All workflow definitions, execution logs, and audit trails are stored in an encrypted, role‑based access environment that meets enterprise security standards. The solution scales across cloud SaaS tools, on‑premise ERP systems, and secure databases, enabling rapid deployment of reliable digital workers for finance, HR, ESG, and other operational functions.
Target Audience
Primary customers are enterprise business users and subject‑matter experts in finance, human resources, compliance, ESG, and other operational departments that need to automate repetitive tasks without developer involvement.
Features
- Visual workflow builder with drag‑and‑drop connectors for SaaS APIs, on‑premise services, and database queries
- UI automation engine that interacts with applications lacking APIs, using widget recognition and selector resilience
- AI‑powered self‑healing layer that detects UI changes and automatically re‑maps interactions to maintain continuity
- Agentic AI digital workers that execute contextual decision logic and can be extended with custom LLM prompts
- Advanced data locating, extraction, and smart value verification modules for spreadsheets, lists, and multi‑page tables
- Comprehensive error capture that generates screenshots, video clips, and diagnostic logs for rapid troubleshooting
- Enterprise‑grade security: data‑in‑motion encryption, role‑based access control, immutable audit trail, and FHIR‑compatible logging
- Pre‑built digital workers for common use cases (e.g., BambooHR onboarding, ESG data aggregation, GHG emissions calculation)