CovaSyn provides intelligent software and expert services for optimizing chemical workflows across research and industrial production. The company specializes in AI-powered tools for reaction optimization and retrosynthetic planning to accelerate R&D timelines. These solutions help chemical, pharmaceutical, and biotech organizations streamline processes, reduce waste, and scale sustainable chemistry.
Funding
Funding not disclosed
Founders
Product
Problem
Chemical research and production workflows often rely on manual experiment design and trial‑and‑error synthesis, leading to long development cycles, high material waste, and difficulty scaling sustainable processes. Organizations lack integrated, data‑driven tools to predict optimal reaction conditions or plan efficient synthetic routes.
Solution
CovaSyn delivers an AI‑enabled software platform combined with expert consulting to automate and accelerate chemical workflow steps. The system uses machine‑learning models to generate design‑of‑experiments (DoE) plans, predict optimal reaction parameters, and propose viable retrosynthetic pathways from existing data. Integrated process automation tools orchestrate laboratory equipment, data capture, and analysis, reducing manual effort and enabling rapid iteration. By quantifying waste and cost metrics, the platform helps users prioritize greener routes and scale processes from bench to production. The solution is delivered via a cloud‑based interface with APIs for seamless integration into existing LIMS, ERP, or laboratory automation systems.
Target Audience
Primary customers are pharmaceutical companies, specialty chemical manufacturers, and biotech firms that conduct R&D and scale synthesis, as well as contract research organizations seeking to improve efficiency and sustainability of their chemical processes.
Features
- AI‑driven DoE engine that suggests experimental matrices to maximize yield while minimizing reagents and energy use
- Retrosynthetic planning module that predicts feasible synthetic routes and recommends reaction conditions based on curated reaction databases
- Automated workflow orchestration linking experimental design, instrument control, and data capture for end‑to‑end process execution
- Centralized data management hub with versioned experiment records, analytics dashboards, and sustainability KPI tracking
- RESTful API and plugin connectors for integration with LIMS, ELN, and manufacturing execution systems (MES)
- Expert consulting services for model customization, validation, and regulatory compliance support
- Cloud‑native deployment with role‑based access control, audit logging, and encryption to meet industry data‑security standards