Customized Artificial Intelligence Applications at Scale
Argus removes the complexity of building and servicing customized Artificial Intelligence applications at scale.
Powered by Argus OS, a new technology stack for AI/ML apps, Argus designs, and deploys customized solutions within months for both startups and large enterprises.
Query & Generate
Improve organizational productivity with Generative AI
Harness the power of Large Language Models (LLM) on internal data bases and knowledge banks. Answer queries via simple natural language (NLP) prompts using Web dashboard, SMS, Slack, or MS Teams .
Applications: Knowledge mining, quality control, due diligence, sales and service support, sales and marketing management, production support, and training.
Improve efficiency - embed in internal and external workflows
Be self reliant - no coding required and no waiting for I.T.
Get more out of your existing databases
Predict & Prevent
Improve yield and utilization by preventing process and or equipment failures
Trained AI/ML algorithms autonomously monitor machine and process data and predict when machine or process will deviate from normal operating conditions. Alert in advance so pre-emptive action can be taken.
Applications: Steel Making, Cement Mfg., Welding, Injection Molding, and Equipment (e.g. Electric Motors, Battery Fleets, auxiliary manufacturing equipment, Robot fleets).
Avoid outages and improve operational KPIs - OEE, yield, & savings
Increase revenue - augment OEM product offerings with predictive AI
Reduce machine downtime - predict health & optimize asset utilization
Reduce carbon footprint for zero capex
Detect Anomalies
Augment observability and reaction time with software
Trained AI/ML algorithms autonomously monitor machine, process, and transactional data and alert when process anomalies (statistical trends that are abnormal) are detected.
Applications: process and equipment anomalies, fraud alerts in financial transactions, anomalous behavior in cyber security
Monitor thousands of data points autonomously
Augment OEM product offerings with anomaly detection feature
Deploy context and role specific alerts
Augment Vision
Monitor millions of images and video feeds autonomously
Trained Neural Networks (e.g. CNN) autonomously classify millions of data points from digital images and video to monitor parts, people, and or workflows.
Applications: Manufacturing (Part Inspection, Worker Safety, Supply Chain - inventory), Equipment (Visual data), Heath (Image or video classification to detect disease, monitor OR personnel), Autonomous cars (LIDAR and other sensor data), Workflow (training, adherence to rules, safety)
Monitor millions of parts/data points autonomously with software
Faster and more accurate than human observers
Improve safety - track workflow and flag unsafe conditions
Classify into categories of interest (e.g. good, bad, anomalous)
Our current and past customers
Build it with Argus
Argus manages the entire workflow from data onboarding, model design and testing, and deployment, data security, architecture decisions and support services.