研究開発業務の時間短縮とコスト削減を実現し、研究者がサイエンスに集中できる環境を整備するには、実験のオートメーションはもちろん、繰り返しかつ手作業で時間を要するデータ解析・管理・意思決定のオートメーションが鍵となります。しかしながら、データ取り込み・処理・解釈をはじめとする日々の業務の自動化へ向けた、ラボオートメーションシステムや機器の連携・統合にはハードルがあります。
このような課題には、Genedataソリューションが最適です。
Accelerate Innovation. Reduce Costs.
- Cut manual data handling to reduce operational costs, refocus expert talent on high-impact R&D, and shorten project timelines
- Standardize and automate processes across global teams to ensure compliance, reproducibility, and data integrity
- Accelerate time-to-market with faster, data-driven decisions enabled by real-time insights and automated reporting
Streamline Data Handling. Focus on Science.
- Automate manual data operations – from capture to analysis – for GS, HTS, MS, chromatography, and other complex assays
- Run more experiments and analyze complex, multi-dimensional data with less manual effort and fewer errors
- Generate consistent, high-quality results with guided workflows, built-in QC, and automated data validation
Optimize Integration. Scale with Confidence.
- Connect instruments, automation platforms, and lab data management systems via open APIs, flexible interfaces (e.g., RESTful web services), and vendor integrations
- Maintain full traceability and compliance with barcoded workflows, audit-ready logs, and secure data governance
- Reduce system downtime and support overhead with automated processing, real-time monitoring, and centralized control
End-to-endのデータオートメーション、
よりスピーディーでスマートなバイオ医薬品の研究開発へ
Enabling Our Customers to Achieve End-to-End Automation
Sartorius Stedim Increases Productivity 3X
Discover how Sartorius Stedim, a global leader in bioprocess development, fully digitalized lab workflows with Genedata. By moving from spreadsheets to automated data handling, they streamlined operations and achieved a threefold increase in productivity.
