Forward Deployed Engineering
Most enterprise AI never leaves the pilot. rSTAR embeds industry-native engineering teams alongside yours, working your highest-priority problems until production-ready solutions are live and delivering.
11 Days
From concept to operational solution
~40%
Faster resolution with deployed AI agents
500+
Enterprise integration patterns
20+ Years
Utility & industrial engineering depth
Industry-native engineers for regulated, asset-intensive operations.
A full engineering stack embedded inside your operation — not a single point solution handed off at the end of a pilot.
Production-grade agentic AI grounded in real utility and industrial workflows, not generic demos. Agents support customer operations, outage response, asset intelligence, field operations and engineering workflows, with human-in-the-loop controls designed for regulated environments.
Explore our rSTAR AI Agent on Microsoft Azure MarketplaceGoverned foundations across Snowflake, Azure, and GCP, modeled to IEC CIM and other industrial canonical standards so grid, plant, and customer data are queryable and trustworthy from day one, not months into the build.
A library of prebuilt microservices and integrations spanning CIS, OMS, MES, SCADA, and ERP systems cuts months of ground-up development while preserving fit to your environment.
NERC-CIP-aware, FERC/PUC-ready deployments with full data lineage and ISO 27001 aligned security practices built in from sprint one, not retrofitted the week before an audit.
Migrate off Oracle, Teradata, SQL Server, or Hadoop without disrupting the operations that depend on them every day.
Certified across Microsoft, Oracle, SAP, and Salesforce, connecting the full operational stack from plant floor to enterprise systems.
Outcomes measured in production value, not decks — each one reinforces the next as solutions scale.
Value 01
Concept to operationalized delivery in as little as 11 days, because we start with the operational outcome, not the technology. Value arrives while a traditional pilot would still be in discovery.
Value 02
Aligning to real operational needs early and reusing rSTAR’s prebuilt industry accelerators cuts solution cost well below a ground-up build.
Value 03
Once a solution proves out at one site, the same pod carries the pattern across sites, regions, and functions in a fraction of the usual time.
Value 04
Governed automation and deployed agentic AI lift workforce output on the repetitive, high-volume tasks consuming operator time today.
20+ years of utility and industrial engineering experience fluent in the systems that run the plant and the grid before the first sprint begins.
Utilities20+ years of engineering depth in CIS, OMS, MDM, GIS, WAM/EAM, AMI, and SCADA/OT — teams that read a one-line diagram as fluently as a data model.
ManufacturingEngineers who converge IT and OT across ERP, MES, SCADA, historians, and IoT sensor networks — turning plant-floor data into enterprise-grade intelligence.
We don’t hand you a deck — we sit inside your operation and ship, then transfer the capability as we go.
Traditional Model
rSTAR Forward Deployed Engineering
The rSTAR FDE Promise
“We didn’t have to teach rSTAR our industry. Their engineers embedded with our team, built on data they already understood, and had a production solution live while a traditional pilot would still have been in discovery.”
The rSTAR FDE Promise
To utility & manufacturing leaders
Deploy a Forward Deployed Engineering Team
Book a discovery call to scope your first embedded engagement.
Bring an rSTAR forward deployed engineering pod into your highest-priority initiative and move it from stalled pilot to production, with the capability transferred to your team along the way.
What Deployment Includes
A working session to scope the operational outcome, the embedded pod, and the delivery plan.
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