Oplit

Connects planning with shopfloor operations, aligns teams around a live production plan, and helps reduce delays with constraint-aware scheduling.

Helps industrial teams anticipate disruptions, coordinate autonomous planning decisions, and improve financial performance across operations and sites.

Oplit Core

Oplit Core is a plug-and-play production planning and scheduling platform that connects ERP systems to shopfloor operations. It builds a living, constraint-aware production plan and aligns planners and operators around shared, continuously updated priorities. Teams can model factory rules without code, balance load and capacity, automatically sequence production across work centers, and track shopfloor execution. Native ERP and MES connectors support batch or real-time updates, and the platform is designed for deployment in weeks.

• Keep Teams Aligned On One Plan
  Give planners and operators a common, continuously updated view of the production plan and priorities, helping close the gap between planning and shopfloor reality.
• Sequence Production Within Real Constraints
  Automate job sequencing across work centers while accounting for resource availability, setup times, skills, priorities, and bottlenecks.
• Connect ERP And MES Systems
  Connect planning with existing enterprise and shopfloor systems through native connectors and APIs that support batch or real-time data updates.
• Balance Load Against Available Capacity
  Help teams assess capacity, validate production objectives, and test the impact of changes to shifts, resources, or demand before acting.
• Align Shopfloor Work With Current Priorities
  Keep production priorities current across planning and execution, track work-in-progress and queues, and capture performance at each work center.
• Configure Factory Logic Without Code
  Model factory structure, machines, scheduling rules, and priorities without code so the platform can reflect how the factory operates.
• Build A Constraint-Aware Master Plan
  Bring demand, stock, capacity, bills of materials, and routing sequences into master planning, with multi-site analysis for group oversight.
• Spot Bottlenecks Before Delays Escalate
  Identify capacity overloads and emerging bottlenecks in advance, giving teams time to respond before they lead to missed deliveries.
• Deploy Planning In Weeks
  Follow a staged implementation to model the factory, connect ERP data, validate scheduling processes, train users, and prepare the system for ongoing use.
• Protect Data With Enterprise Security Controls
  Use the stated security measures, including SOC 2 Type 2 certification, single sign-on, dedicated infrastructure, and data backups.

Oplit Kosmos

Oplit Kosmos is an AI-first supply chain platform for industrial organizations operating at scale. It combines operations research, hybrid optimization, reinforcement learning, and agentic planning to model operational knowledge and reason across live supply chain and production conditions. The platform continuously adapts plans, identifies risks and constraints, and presents prioritized actions with their financial impact for teams to validate, simulate, or execute. It supports coordination across sites and connects with ERP and MES systems through two-way synchronization.

• Adapt Plans As Operations Change
  Keep production plans responsive to changes on the factory floor, moving teams from repeated manual replanning toward continuous decision-making.
• Prioritize Actions By Financial Impact
  Help teams focus on operational decisions with the greatest expected financial impact, using ranked options and measures tied to business performance.
• Coordinate Planning With AI Agents
  Bring optimization methods, reinforcement learning, and AI agents together to evaluate operational conditions and adapt planning decisions over time.
• Act On Live Operational Data
  Use two-way ERP and MES synchronization to give agents current operational information and support governed actions based on live data.
• Coordinate Decisions Across Sites
  Align sites around shared operational information and group objectives while preserving each site's operational autonomy. The agent playbook can be extended across additional sites, product lines, and business units.
• Encode Expertise For Reuse
  Capture operational knowledge and planning rules in a reusable model so agents can reason across the organization without relying solely on individual planners' memory.
• Detect Supply Risks Ahead Of Time
  Identify potential critical-material shortages in advance, assess disruption scenarios, and adapt decisions to supplier reliability to help protect production.
• Anticipate Demand And Protect Inventory
  Use forward-looking demand and inventory planning to prepare production for changing needs, reduce stockout risk, and avoid excess inventory.
• Map Operations For Agent Reasoning
  Connect operational entities and decisions in a live model so agents can reason across the real system, including its constraints and relationships.
• Simulate Long-Range Operational Trade-Offs
  Assess capacity and revenue implications over a 36-month horizon and compare the impact of changes, supporting data-based strategic and multi-site decisions.
• Identify Value And Deploy In Stages
  Begin with a two-week opportunity assessment, then deploy agents for selected high-value use cases and extend the approach across the organization.