Industrial & IoT-ops AI
Predictive maintenance and anomaly detection on live sensor and equipment data.
Outcome → less unplanned downtime
An AI consulting & product studio — we design, build, and run custom AI, machine learning, and automation that moves one real business metric.
For Schindler, we built a predictive-maintenance engine: real-time machine learning on IoT lift-sensor data that flags a failure pattern early enough to fix it on schedule — not after a breakdown.
Schindler reports a ~40% reduction in unplanned downtime in Q1. This is the client's stated result, not yet independently verified by Audecy. [assumed metric — to confirm]
Industrial / IoT
Intelligent Fault Prediction Engine
Selected clients
Three focus lanes
Not twelve industries. Three where we have a real story, each tied to an outcome you can measure.
Predictive maintenance and anomaly detection on live sensor and equipment data.
Outcome → less unplanned downtime
Machine learning, forecasting, and clean data pipelines for finance and analytics products.
Outcome → faster, sharper decisions
Your AI MVP, built fast — strategy, build, and integration with you as a product partner.
Outcome → in users' hands sooner
How we work
Find where AI drives the highest ROI in your actual process.
Architect and build the model or system against that metric.
Ship to production and wire it into how you already work.
Track the result, tune the model, keep it running.
Sudeep V
Founder & CEO
Who builds it
Audecy is led by founder Sudeep V and incubated at NITK-STEP, the technology entrepreneurs' park at NITK Surathkal in Mangaluru. We're an early but sharp team that would rather prove one outcome than promise everything.
No luxury mood-board. We design, build, deploy, and keep running the AI — owned end to end, against a metric you actually care about.
Free AI audit
A free, no-pressure audit of your process — we map the one place AI moves a real metric, and tell you straight if it's worth building.