Everyone Wants AI.Most Never Ship It.We Do.
Erbis builds and deploys custom AI applications for supply chain, healthcare, manufacturing, and industrial automation companies — in production, with a track record that predates the hype. Anthropic partner. AWS partner. Databricks partner. 200 engineers. $110M in documented client savings.
We engage Certified senior-level expert Teams
Show All CertificationsMost AI projects stall. Yours does not have to.
MIT's NANDA initiative found that 95% of enterprise generative AI pilots show no measurable profit-and-loss impact. Gartner puts the GenAI abandonment rate after proof of concept at 30%, and predicts 60% of projects lacking AI-ready data will be canceled through 2026. The problem is rarely the idea. It is the gap between building something in a demo and getting it to run reliably inside a real operation: real integrations, real data governance, and real people whose work depends on it.
Erbis was built for that gap. Our engineers have shipped AI inside supply chain operations at DHL scale, built regulated healthcare systems used by institutions like Mayo Clinic, and developed production AI for manufacturing and industrial automation environments. We know what it takes to get from a working prototype to production software your team actually uses. We build the data governance in from the start, so the AI you deploy stays under your control.

What We Build

AI That Runs in Production
Machine learning pipelines, AI orchestration, agentic systems, and computer vision for live operations, built the 2026 way rather than bolted onto five-year-old patterns. Roughly 95% accuracy in production.
Our tech stack will meet your unique needs
Anthropic Claude
OpenAI
Google Gemini
LangChain
LangGraph
Multi-model strategy and advanced, stateful multi-agent orchestrations.
The Numbers
in documented client cost savings
AI accuracy in production deployments
efficiency gains, typical engagement
system integrations completed
engineers with deep roots in supply chain, healthcare, manufacturing, and industrial automation
in production since 2017
What Clients Say
Who We Work With
Mid-market and enterprise companies with a real operational problem and the discipline to see it through.
Supply chain:
demand forecasting, warehouse and logistics automation, and AI orchestration across the systems you already run.
Healthcare:
HIPAA-governed clinical and operational systems, built to the standard the Mayo Clinic and Pfizer-funded work required.

Manufacturing:
computer vision quality control and predictive maintenance for plants already outsourcing this work because they cannot hire for it in-house.

Industrial automation:
AI and IoT integration for the sensor networks, control systems, and automated equipment running modern industrial operations.
Our clients are typically $25M to $500M operations in supply chain or healthcare — established enough to have real data, complex enough that off-the-shelf tools have started failing them, and serious enough about the outcome that a pilot is not the goal. We also work with companies in manufacturing and industrial automation, where the operating environment carries the same demands: regulated data, complex integrations, and zero tolerance for systems that do not hold up.
If your team spends real time working around what your systems cannot do, we should talk. A discovery call takes 45 minutes. We will tell you directly whether custom AI is the right move. If it is not, we will say so.





















