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Three examples of how we solve problems
These aren't off-the-shelf products. They're working examples of what happens when we start with your problem and build the technology around it.
See it. We connect your real-world problems to what technology can actually enable.
Prove it. We scope a fixed-fee proof of concept around your process and goals, using safe, non-production data in our secure environment. You get a working model, results measured against your success metric, and a clear go/no-go.
Build it. We deploy the proven agent in your environment or a secure cloud, integrate the data, and operationalize it. From there, you have a path to scale across lines.
Agents
"What do we know, and what should we do with it?"
River.AI searches your documents, follows training-based instructions, and asks targeted questions. The result is complex enterprise knowledge turned into clear, actionable outputs.
Feeds on: documents, SOPs, ERP knowledge, training materials
Delivers: sourced answers and step-by-step instructions
"What's the best way to schedule production?"
Rolling balances everything competing for your floor at once. It optimizes scheduling and workflow and surfaces bottlenecks before they bite.
Feeds on: open orders, specs, equipment and labor capacity, constraints
Delivers: optimized schedules, sequencing, and bottleneck flags
"How do we create consistent results?"
Catapult finds the variable ranges that reliably hit your target and monitors performance. When the process starts to drift outside set controls, it responds.
Feeds on: process variables, run history, target specifications
Delivers: operating windows, live monitoring, and drift response