Apps

Ensure investigational medicinal products (IMPs), comparators, and co-medications are delivered to clinical trial sites while minimizing costs, delays and disruptions.

Analyze and improve the design and operation of supply chains to enhance their efficiency, reduce costs, improve resiliency and bolster overall performance.

Integrate real-time data and process models into a user-facing dashboard that provides end-to-end visibility and real-time insights across a supply chain.

Plan and respond to both potential brewing (unannounced) and actual (publicly acknowledged) competitor stockouts, through AI analysis of public data and competitive intelligence.

Simulate physical production lines and factories, integrating real-time data from sensors and machinery, in order to provide enhanced visibility, optimize production schedules and factory layouts, and support predictive mainteance.

Continuously track and analyze production processes to optimize efficiency, ensure consistent product quality, and identify potential issues before they impact output, improving overall operational efficiency.

Forecast and optimize production processes, to improve efficiency, reduce waste, enhance quality, and minimize downtime in manufacturing.

Forecast and optimize production processes, to improve efficiency, reduce waste, enhance quality, and minimize downtime in manufacturing.

Real-time transportation visibility platforms (RTTVPs) provide live updates on the location and status of shipments.

Analyze and plan available capacity within a supply chain to meet current and future demand efficiently, optimizing resources, identifying bottlenecks, and supporting strategic decision-making.

Optimize shipment routes in real-time, adapting to changing conditions like transportation cost, tariffs, customs backlogs, traffic, weather, and geopolitics to ensure efficiency and timeliness.

Optimize shipment routes in real-time, adapting to changing conditions like transportation cost, tariffs, customs backlogs, traffic, weather, and geopolitics to ensure efficiency and timeliness.

Proactively identify and assess potential and realized supply chain disruptions, evaluating and pre-planning mitigation strategies, making recommendations, and forecasting outcomes.

Combine accurate demand planning, robust inventory management, and strong supplier relationship management to avoid unanticipated inventory depletion.

Automate monitoring, analysis, and response to deviations in supplier performance, capacity risks, and information delays.

Manage and streamline the process of (i) predicting and identifying both potential and actual issues and non-conformances in products or processes, as well as (ii) investigating and (iii) resolving them, to prevent their recurrence.

Collect and process data from cameras and sensors on production lines, enabling tasks such as quality control, defect detection, robotic guidance, and process optimization.

Generate detailed visual maps that encompass both physical movements and decision processes in order to identify and eliminate non-value adding activities.

Use sensor data, and/or output metrics to predict when equipment or machinery is likely to fail, supporting proactive maintenance and avoiding downtime.

Map and monitor environmental and social impacts throughout all levels of a supply chain, not just direct suppliers, to enhance transparency and accountability.

Optimize procurement processes through the identification, evaluation, and selection of suppliers to enhance competitiveness, reduce costs, and mitigate risks.

Automatically share sensitive commercial data such as demand plans and schedules with suppliers, securely, and on a compartmentalized basis.

Proactively identify and assess potential disruptions in the pharmaceutical logistical supply chain, ensuring product availability and integrity.

Automatically identify the reasons for manufacturing deviations, based on historical investigation data, equipment logs and contextual parameters, enabling rapid and effective resolution to ensure product quality and compliance.

Simulate supply chains through a dynamic, data-driven, and continuously updated model that reflects the real-world and supports optimization and resiliency.

Automatically review and suggest updates to Business Continuity Plans (BCPs) to identify weaknesses, gaps, and new necessary contingency measures.

Visualize supply chains geospatially, showing nodes on a map according to their geographic location and dependencies.

Automatically generate and analyze validation reports to ensure compliance, accuracy, and efficiency.

Monitor competitor activity across multiple dimensions — product launches, pricing changes, hiring patterns, patent filings, and market positioning — to inform strategic decisions in real time.

Combine CRM data, website behavior, third-party intent signals, and firmographic attributes to score leads dynamically, ensuring sales teams focus on the highest-value opportunities.

Simulate and optimize the allocation of people, machines, and facilities against projected demand, identifying bottlenecks before they occur and recommending rebalancing strategies.

Automatically reconstruct actual process flows from system event logs, identify deviations from intended processes, and recommend targeted optimizations to reduce cycle times and costs.

Automatically ingest regulatory updates from global authorities, map them to internal policies and controls, and alert compliance teams to required actions before deadlines.

Combine product usage telemetry, support ticket history, billing patterns, and engagement metrics to predict which customers are likely to churn, enabling proactive retention interventions.

Automate the extraction, structuring, and cross-referencing of information from data rooms, contracts, financial statements, and public records to dramatically reduce due diligence timelines.

Build a continuously updated knowledge base from published research, internal experiments, patents, and conference proceedings — enabling researchers to discover connections and gaps faster.

Automatically generate optimized schedules that balance demand coverage, employee preferences, skill requirements, labor regulations, and cost constraints across locations and time horizons.

Generate detailed prospect profiles by aggregating information from LinkedIn, company websites, news, funding databases, and CRM history — giving sales reps deep context before every conversation.

Integrate SCADA, weather, market, and maintenance data to optimize energy asset performance — maximizing output, minimizing downtime, and balancing grid constraints in real time.