Erbis builds and deploys custom AI applications for supply chain, healthcare, manufacturing, and legal and compliance technology solutions — in production, with a track record that predates the hype.
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 operations and legal and compliance 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.
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.
Agentic AI engineeringWe build on whichever platform your team already runs — SageMaker and Bedrock on AWS, lakehouse architecture on Databricks, or on-premises for teams that need data to stay inside their own walls. The infrastructure your team already trusts, without proprietary lock-in.
Data and AI platformsYou should not have to explain your business before we can talk about the technology. We have built inside supply chain and regulated healthcare, and for manufacturing and legal and compliance technology. When the conversation turns technical, we can go there too: 3PL constraints, WMS architecture, EMR integration, lakehouse pipelines.
IndustriesAnonymized where the contract requires it. The metrics and the sector are always specific.
$10M+annual savings across the companies using the solution
AWS Textract plus SageMaker Ground Truth human-in-the-loop review digitizes ~95% of invoices unattended, saving 10+ companies $10M+ a year.
28,800 hsaved per year
A custom-trained LLM with a verification controller generates Word contracts from 10,000+ precedents via an intranet chatbot, making drafting 10x faster.
15 min to < 1 minaccount setup time per user
Two AI agents generate onboarding and password-reset scripts on serverless AWS; script caching cut OpenAI API costs 90% and setup time to under a minute.
21.4 hRMSE of the linear regression model on 80,889 test shipments
Linear regression and XGBoost on Amazon SageMaker predict delivery times from 304K shipments, with account-based Lambda routing and no GPU CapEx.
60+carrier APIs integrated and maintained
60+ carrier APIs (DHL, FedEx, UPS, USPS, DPD and more) integrated over EDI, SOAP and REST for a global TMS used by Fortune 500 shippers.
60%faster insights with AI-driven visualizations and automated reporting
Embedded dashboards and natural-language Q&A on Redshift and QuickSight Q for a multi-tenant SaaS, with Keycloak SSO and row-level security per tenant.
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, industrial operations, and legal and compliance technology, where the operating environment carries the same demands.
Demand forecasting, warehouse and logistics automation, and AI orchestration across the systems you already run.
60+ carriers integrated Supply chain HealthcareHIPAA-governed clinical and operational systems, built to the standard the Mayo Clinic and Pfizer-funded work required.
HIPAA-governed since 2012 Healthcare ManufacturingComputer vision quality control and predictive maintenance for plants already outsourcing this work because they cannot hire for it in-house.
Vision QC and predictive maintenance Manufacturing Legal and compliance technologyAI built for the data governance and audit requirements regulated environments do not forgive.
€3.5M/yr saved with contract automation Legal and compliance technologyYou own the code and the architecture from day one. If custom AI is not the right move, we say so on the first call.
One use case, your data, your stack. A working pilot in production conditions and a go/no-go decision with a production plan. Most pilots end as demos. Ours end as decisions.
DetailsIntegrations, data governance, evaluation and observability built in. Your team trained on the system. Hand-over of every line of code and every architecture document at go-live.
DetailsMonitoring, model and prompt updates, cost control and the next use cases. 89% of our clients stay longer than 12 months.
DetailsLong-term supply chain data partnership, San Francisco Bay Area
“I'm most pleased with Erbis' ability to be proactive and good communicators. They have proven to be a trustworthy partner. Erbis isn't simply trying to bring in resources that would maximize their profit margin; they've scrutinized resources and candidates before introducing them to our team. It was a surprise to find someone take so much pride in building a team. The result is having a long-term partner.”
Data platform engagement
“We quickly saw the potential in partnering with Erbis during our data project. Their team integrated seamlessly, bringing expertise and dedication. Their strong work ethic and cultural alignment helped us advance with quality. I highly recommend Erbis as a valuable business partner.”
Routing and location-tracking platform
“Erbis is a great partner to work with, highly experienced and motivated employees helped us push tricky features forward, by managing the time and developers, as well as QA to ensure the highest quality before going live. The communication with Erbis is a real pleasure, very solution oriented and open to discuss the broader challenges in depth before giving suggestions.”
Build AI into your product engineering with Claude. Discover how Erbis applies agentic workflows to accelerate delivery, improve quality, and move from pilots to production.
ReadErbis partners with Databricks to help enterprises scale data and AI, accelerate digital transformation, and turn analytics into real business value with the Databricks Data + AI Platform.
ReadHow a near real-time ETL pipeline on AWS works: source databases, change data capture, AWS Glue, Redshift or an Iceberg or Databricks lakehouse, and analytics. Built inside your AWS account by an AWS Select Tier partner.
ReadA 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.
AWS partner · Databricks partner · ISO 27001 · You own the code from day one
