Always on
Your agentic AI systems work 24/7
For Research & Development (R&D) Firms
For Research & Development (R&D) Firms
For Research & Development (R&D) Firms
Your researchers spend 60% of their time on literature reviews, documentation, and resource coordination instead of innovation. Mitochondria's AI agents understand scientific context – mining insights from millions of papers, designing optimal experiments, and navigating IP landscapes. They transform chaotic lab notebooks into regulatory submissions, identify breakthrough patterns in complex data, and orchestrate resources for maximum throughput. R&D heads see 40% faster time-to-milestone. Scientists focus on discovery, not documentation. PIs manage portfolios, not paperwork. Compress innovation cycles without compromising rigour.
Your researchers spend 60% of their time on literature reviews, documentation, and resource coordination instead of innovation. Mitochondria's AI agents understand scientific context – mining insights from millions of papers, designing optimal experiments, and navigating IP landscapes. They transform chaotic lab notebooks into regulatory submissions, identify breakthrough patterns in complex data, and orchestrate resources for maximum throughput. R&D heads see 40% faster time-to-milestone. Scientists focus on discovery, not documentation. PIs manage portfolios, not paperwork. Compress innovation cycles without compromising rigour.
Your researchers spend 60% of their time on literature reviews, documentation, and resource coordination instead of innovation. Mitochondria's AI agents understand scientific context – mining insights from millions of papers, designing optimal experiments, and navigating IP landscapes. They transform chaotic lab notebooks into regulatory submissions, identify breakthrough patterns in complex data, and orchestrate resources for maximum throughput. R&D heads see 40% faster time-to-milestone. Scientists focus on discovery, not documentation. PIs manage portfolios, not paperwork. Compress innovation cycles without compromising rigour.
Literature Mining
Continuously scans papers, patents, and internal reports to identify breakthrough connections and suggest novel research directions – finding insights humans miss across disciplines.
Experiment Design Optimisation
Analyses past trials, failure modes, and resource constraints to design statistically powerful experiments that answer multiple hypotheses efficiently.
Lab Resource Orchestration
Understands project priorities, equipment capabilities, and researcher schedules to optimise lab utilisation and reduce experiment queuing by 50%.
IP Landscape Navigation
Maps patent landscapes, identifies white spaces, and predicts freedom-to-operate issues before significant investment – saving millions in pivot costs.
Research Documentation
Transforms lab notebooks, meeting notes, and raw data into publication-ready manuscripts, patent applications, and regulatory submissions.
Collaboration Intelligence
RFQ Response Generation
Identifies potential research partners, funding opportunities, and cross-functional synergies by understanding project needs and external capabilities.
Data Pattern Recognition
Analyses complex experimental data to identify subtle patterns, suggest mechanistic hypotheses, and predict promising research avenues.
Customer Configuration Advisor
Engages in technical dialogue with customers to understand unstated needs, suggest optimal configurations, and explain trade-offs in natural language.
Regulatory Strategy
Navigates evolving compliance requirements across jurisdictions, predicting approval pathways and identifying potential roadblocks early.
Incident Root Cause Analysis
Correlates data from multiple shifts, products, and processes to identify hidden root causes of recurring issues, finding patterns that humans miss.
Research Portfolio Optimisation
Client Development
Balances risk, resource allocation, and strategic goals to recommend portfolio adjustments that maximise R&D ROI and innovation potential.
