Wilh Hamm GmbH

AI Software · Industrial Systems · Site Intelligence

From field engineers to smart software — connected operations that learn.

We build production-grade AI software for industrial sites: predictive models that feed into control loops, operator interfaces that explain decisions, and developer tools to ship changes safely.

Realtime inference

Deterministic latency guarantees, model monitoring and automatic failover where decisions must be fast and safe.

Explainability

Operator-facing explanations, counterfactual traces and audit logs for regulated environments.

DevOps for AI

CI/CD pipelines, canary rollouts and structured retraining workflows that keep live models healthy.

Unified product: Hamm Intelligence Platform

Edge runtime, secure gateway, model registry and a lightweight orchestration layer that lets your engineers deploy features safely and rollback quickly when needed.

Who benefits

Plant managers, reliability engineers and operations leaders who need measurable uptime gains while keeping human oversight central to every automated decision.

Platform core

Secure data ingestion, time-series feature store, model registry and a lightweight orchestration engine. Designed for low-bandwidth sites and intermittent connectivity.

Feature Store
Model Registry
Edge Runtime
Observability

APIs & integrations

Standard REST and gRPC APIs, OPC-UA connectors, and pre-built adapters for common historians and MES systems to reduce integration time.

Solutions we ship

Predictive Maintenance

Multi-sensor fusion for early fault detection, prioritized action lists and automated workpack generation for field teams.

Process Stabilization

Closed-loop recommendations with operator-in-the-loop and safety envelopes to improve yield without compromising safety.

Energy Orchestration

Site-level energy optimisation coordinating storage, CHP and production schedules to minimise peak costs.

Selected deployments

Concrete examples where software and operations combined delivered clear ROI.

01

Compressor fleet: 45% drop in unplanned stops after 6 months of model-guided inspections and spare-part staging.

02

Batch reactor: 2.8% yield increase from closed-loop setpoint adjustments with operator override and explainability traces.

03

Storage dispatch: daily peak shaving reducing grid charges by 18% for a medium-sized plant.

Contact & demo

We run short technical demos and 4-week pilots to prove value quickly. For demos, share a sample dataset or asset list and we will prepare a tailored walkthrough.

Start a pilot

Send project scope and preferred dates. Our engineering team will propose a pilot plan including KPIs and success criteria.

Email: ai@wilh-hamm.de

Phone: +49 541 000 987