Pricing and inventory decisions relied on experience rather than data.
Sudolabs
team of 51-100 · clients 1-50 to 5,001+ people
Sudolabs builds custom agentic AI platforms for large SMBs and enterprises, usually starting with a 4 to 6 week discovery that produces a roadmap, prototype and ROI case. It serves finance, customer experience, manufacturing, insurance and healthcare clients. Team of 51 to 100. AI discovery, workflow automation, data architecture, custom agentic builds and training.
Solutions
6 on fileiQor's enterprise clients had no visibility into the patterns and trends within their customer interaction data.
Conservative, static furnace profiles wasted energy across thousands of batch configurations, and the operation had no predictive capability to customize.
Senior representatives spent 20–30% of their time coaching junior reps rather than generating revenue, creating a bottleneck that limited growth and lengthened.
Analysts at the firm spent excessive daily hours searching PowerPoint decks whose visual content, charts, maps, and diagrams, traditional keyword search could not parse.
A wind power plant operator, where turbine uptime is the core measure of business performance, was losing significant operational time to inefficient field maintenance.