DeepSpring Architecture Diagram
Supply Chain Management
Unlock service levels and working‑capital gains with network‑wide optimization and scenario planning. Typical impact: +3–7% service, −10–15% inventory, and a step‑change in planner productivity. Integrates with ERP and planning systems to operationalize recommendations in one click.
Our supply chain optimization engine analyzes multi-tier supplier networks, demand variability patterns, and transportation constraints to deliver actionable insights. The system continuously monitors supplier performance, identifies potential disruptions before they impact production, and automatically adjusts safety stock levels across your entire network. Advanced machine learning algorithms process historical demand data, seasonal patterns, and market signals to predict future requirements with unprecedented accuracy. The platform also enables rapid scenario modeling for supply chain resilience, allowing you to test different strategies for handling supplier failures, transportation delays, or demand spikes without risking actual operations.
📊 Supply & Demand Intelligence
Experience our supply chain intelligence platform with demand forecasting, inventory visibility mapping, and SKU optimization insights.
📈 Launch Supply Chain Demo ↗Enterprise Systems Agent
Production Line Optimization
Increase throughput and OEE with AI‑assisted finite‑capacity scheduling and real‑time exception handling. Supervisors get clear, explainable reschedules when constraints shift—reducing changeover loss and idle time while protecting quality and safety limits.
The production optimization system leverages advanced constraint programming and machine learning to create optimal production schedules that maximize equipment utilization while minimizing waste and energy consumption. Real-time monitoring of machine performance, material flow, and quality metrics enables proactive intervention before issues escalate into costly downtime. The platform integrates with existing MES and SCADA systems to provide a unified view of production status, automatically detecting bottlenecks, quality deviations, and maintenance needs. Intelligent scheduling algorithms consider complex interdependencies between production lines, material availability, workforce constraints, and customer priorities to deliver schedules that are both optimal and executable. When disruptions occur, the system rapidly recalculates schedules and provides supervisors with clear, actionable recommendations backed by detailed explanations of the reasoning behind each decision.
🎯 See It In Action
Experience our AI-powered manufacturing insights dashboard with real-time monitoring, predictive analytics, and interactive data visualization.
📊 Launch Live Demo ↗Monitoring Agent
Inventory Management
Right‑size buffers and reorder policies with machine‑learned demand signals and explainable drivers. The system rebalances across sites and channels, flagging obsolete stock and supply risk before it hits service.
Advanced inventory optimization algorithms analyze demand patterns, lead time variability, and supply chain dynamics to determine optimal stock levels for each SKU across your entire network. The system continuously monitors inventory velocity, identifies slow-moving and obsolete stock, and recommends liquidation strategies to minimize write-offs. Machine learning models process external factors such as economic indicators, weather patterns, and competitor actions to enhance demand forecasting accuracy. Multi-echelon optimization ensures that inventory is positioned at the right locations to minimize total cost while maximizing service levels. The platform also provides real-time visibility into inventory levels across all locations, enabling rapid rebalancing when demand patterns shift or supply disruptions occur. Automated alerts notify planners of potential stockouts, excess inventory, or quality issues, allowing for proactive management of inventory health.
📊 Inventory Optimization
Explore our advanced inventory optimization dashboard with demand forecasting, visibility mapping, and SKU-level optimization details.
📈 Launch Optimization Demo ↗Regulatory Compliance
Automate policy checks and evidence collection across operations. The platform reads SOPs and audit requirements, validates each run digitally, and produces ready‑to‑sign trails—cutting manual effort and audit exposure.
The compliance automation system transforms regulatory requirements into executable workflows that monitor operations in real-time. Natural language processing capabilities extract compliance requirements from regulatory documents, SOPs, and audit protocols, automatically creating monitoring rules and validation checkpoints. The platform continuously tracks process parameters, quality metrics, and operational activities against regulatory standards, flagging deviations before they become compliance violations. Digital audit trails capture every decision, action, and approval with immutable timestamps and digital signatures, ensuring complete traceability for regulatory inspections. Advanced analytics identify patterns in compliance data to predict potential issues and recommend preventive actions. The system also generates automated compliance reports, regulatory submissions, and audit documentation, reducing the administrative burden on compliance teams while ensuring accuracy and completeness.
📋 Audit Trail & Compliance
Explore our comprehensive audit trail system with compliance dashboards, deviation management, and regulatory watch capabilities.
📊 Launch Audit Demo ↗Document Intelligence Agent
Due Diligence
Give leadership a live, data‑backed view of operational health. The system consolidates KPIs across plants and suppliers, highlights emerging risks, and forecasts impact on service, cost, and cash—so you can steer proactively.
The due diligence platform provides comprehensive operational intelligence through advanced data integration and predictive analytics. Real-time dashboards aggregate performance metrics from across your entire operation, including production efficiency, quality indicators, financial performance, and supply chain health. Machine learning algorithms analyze historical trends and current conditions to identify emerging risks and opportunities before they impact business outcomes. The system performs continuous supplier assessments, evaluating financial stability, operational performance, and risk factors to ensure supply chain resilience. Advanced scenario modeling capabilities allow leadership to test different strategic options and understand their potential impact on key business metrics. Automated alerts and recommendations help executives focus on the most critical issues requiring immediate attention, while comprehensive reporting provides the detailed insights needed for informed decision-making and stakeholder communication.
Custom Agents
Start from our core agents and tailor to your process. We add connectors and guardrails to model your constraints, then deploy safely in your cloud. Most customers go from pilot to scaled value in 6–10 weeks.
Our custom agent development process begins with a comprehensive analysis of your existing systems, processes, and business requirements. We map your current workflows, identify optimization opportunities, and design tailored AI agents that integrate seamlessly with your technology stack. The development approach includes rapid prototyping, iterative testing, and continuous refinement based on real-world performance data. Our team works closely with your subject matter experts to ensure that each agent understands your specific business rules, constraints, and objectives. Advanced configuration management allows for easy updates and modifications as your business evolves. The platform supports both cloud and on-premises deployment options, with robust security controls and compliance features to meet your specific requirements. Comprehensive training and support ensure your team can effectively manage and optimize the agents for maximum business value.
Enterprise‑Ready from Day One
Deploy in your cloud or ours. We keep your data within your tenancy, honor existing controls, and maintain full lineage from source to decision. All agent actions are logged with human‑readable rationales for review.
Our enterprise-grade platform is designed from the ground up to meet the most demanding security and compliance requirements. Multi-tenant architecture ensures complete data isolation, while advanced encryption protects data both in transit and at rest. The system integrates seamlessly with your existing identity and access management infrastructure, supporting SAML, OAuth, and LDAP protocols for single sign-on and role-based access control. Comprehensive audit logging captures every system interaction with detailed context and timestamps, enabling complete traceability for compliance and security reviews. Data residency controls ensure that sensitive information remains within specified geographic boundaries, while advanced backup and disaster recovery capabilities protect against data loss. The platform undergoes regular security assessments and maintains SOC 2 Type II compliance, with additional certifications available based on your industry requirements. All AI model training and inference operations are performed using your data within your controlled environment, ensuring that proprietary information never leaves your organization.