AInnov™
Drive Innovation and transformation through STL Digital’s AInnov™, a Generative AI solutioning fabric for enterprises
Overview
STL Digital’s AInnov™ empowers enterprises to leverage AI for innovation and business value realization. AInnov is a comprehensive AI solutioning fabric with a human feedback loop. It integrates software libraries, model data engineering methodologies, model management, data structures and algorithms. It also includes 360-degree image-to-insights processing capabilities.
STL Digital’s
AInnov™ Business Model
Solution
Highlights
Built on Top of Industry-Leading AI Platforms
Foundation Models provide a fantastic combination of accuracy and versatility
Customization by fine-tuning these models for enterprise-specific data
Ready to use AInnov™ solutions that can be quickly implemented for your business needs
Our
Differentiators
End-to-end Solutioning Capability
Expert Data Engineering
Comprehensive Model library
Gen AI Center of Excellence
Partner Ecosystem
Faster Time to Market
Industry Trends
AInnov™
Solutions
Key Features:
- Automated AI-generated Threat Advisories (Industry-specific, Asset Based, Malware and Ransomware – related)
- Continuous surveillance and Real-time threat monitoring
Key Features:
- Advanced Document Processing and Analysis
- Handling Large Document Volumes
- Uncover Hidden Insights
- Enhanced Document Processing and Analysis
- Advanced Search and Question-Answering
- Document Citation
Key Features
- Automated Resume Screening
- Objective Candidate Scoring
A transformative solution in managing and enhancing operational efficiency across industries by leveraging Gen AI, coupled with AR/MR overlays on Digital Twin models and streamlined through Process Orchestration. This helps manufacturing, energy and utilities industries to enhance decision-making, predict issues, and test scenarios in real-time on the asset.
Key Features
- Seamless augmentation of physical and digital realms using Unity-based modeling
- Utilizes advanced IOT, AI, and analytics to monitor, simulate, and optimize performance
Industry Value Realization
Increase productivity by generating synthetic data, optimizing processes, and automating tasks
Improve predictive maintenance by predicting equipment failure and identifying anomalies
Enhance security and safety by detecting fraud and preventing accidents
Think Tank
Hear From Our Expert
Partner Ecosystem
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