Cloud platform for animal-protein producers to digitalize operations and optimize yield
MTech Systems operates a cloud-based platform purpose-built for the animal-protein industry, with over 150 producers relying on their Amino product for operational visibility and supply-chain management. The tech stack is heavily Azure-native (SQL, Cosmos DB, Data Lake, Synapse, Fabric) with Databricks and Delta Lake for analytics — a data-forward architecture reflecting their shift from basic digitalization to AI-driven optimization. Current hiring emphasizes senior engineering and data roles across a distributed team, while projects center on test automation, telemetry pipelines, and AI-powered farm monitoring, indicating internal focus on platform reliability and intelligence.
MTech Systems provides software to help animal-protein producers increase operational yield, improve animal welfare, and reduce waste. The platform serves producers of all sizes — from independent farmers to multinational integrators — across poultry, swine, feed production, and processing. Amino, their flagship product, provides a centralized database and dashboards that allow production teams to digitalize operations without dependency on specific hardware. The company operates on a secure cloud-based platform and has built a customer base of over 150 leading producers who use the software daily to extract field data and make operational decisions.
Azure ecosystem (SQL, Cosmos DB, Data Lake, Synapse, Fabric), Databricks, Delta Lake, SAP, Angular, .NET Core, Kubernetes, and monitoring tools including OpenTelemetry and Azure Monitor.
AI-driven test automation, custom reporting and analytics, database/data platform architecture, ERP/SAP integrations, telemetry pipelines with OpenTelemetry, and AI-powered health monitoring for farms.
MTech Systems's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.