Elementra provides an AI‑native ERP platform that continuously ingests demand, supplier and shop‑floor data to generate real‑time forecasts, production schedules and replenishment actions. Its context‑aware software agents operate in a human‑in‑the‑loop mode, enabling manufacturers to reduce safety stock, avoid stockouts and improve equipment effectiveness.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers rely on static ERP cycles and manual planning processes that struggle to incorporate real‑time demand signals, supplier updates, and shop‑floor disruptions, leading to inaccurate forecasts, excess inventory, frequent stockouts, and unplanned downtime.
Solution
Elementra delivers an AI‑native ERP platform that replaces traditional batch‑oriented planning with continuous, agentic orchestration across procurement, production, and warehousing. Context‑aware software agents continuously ingest demand data, supplier feeds, and equipment status, then autonomously generate forecasts, schedule jobs, and trigger replenishment actions. The platform operates in a human‑in‑the‑loop mode, allowing planners to intervene when needed while the agents execute routine decisions at scale. By aligning planning decisions with live operational inputs, Elementra improves forecast accuracy, reduces safety‑stock levels, minimizes production interruptions, and lifts overall equipment effectiveness.
Target Audience
The primary customers are mid‑size to large manufacturers and their supply‑chain or operations teams that require real‑time, data‑driven coordination of planning, procurement, and production processes.
Features
- Intelligent, context‑aware agents that communicate in a self‑optimising planning loop to predict, simulate, and act across the entire manufacturing value chain
- Forecasting Intelligence that blends historical sales, inventory signals, seasonality, and external market data to outperform legacy models by 15‑20%
- Market Intelligence Layer that continuously ingests supplier signals, competitor activity, and commodity trends to enrich planning decisions
- Dynamic Production Scheduling that automatically builds and adjusts line schedules in real time, balancing machine capacity, labor shifts, and priority orders
- Capacity Optimisation engine that detects bottlenecks, balances workloads, and maximises throughput based on live floor inputs
- Materials Readiness Check that validates raw‑material availability for each job and proactively coordinates with procurement to resolve shortages
- Smart Order Prioritisation that reorders production queues based on customer urgency, margin, and delivery commitments
- Automated Replenishment Planning and Inventory Optimisation logic that calibrates safety‑stock levels using service targets, demand volatility, and lead‑time variability to free working capital while preventing stockouts