Enterprise-grade AI Solutions
Enterprises urgently need a composable AI framework capable of managing many different AI services. We are experienced in implementing ensemble and federated learning with MLOps and DataOps, alongside governance, privacy and lineage. Our experience with multiple enterprises operating in a range of verticals gives us a proven model for implementing with speed, agility and excellence.
How We Work
Computer Vision Services
Computer vision-enabled text-image-video analytics services for quick text and image-based classification.
Natural Language Processing
NLP-based text analytics, and sentiment and information analysis solutions for enterprises.
Robotic Process Automation
An RPA-driven platform that enables you to develop digital virtual agents, chatbots, predictive agents and cognitive process automation.
Cognitive Customer Analytics
Customer analytics solutions for understanding customer behavior, enabling product recommendations and unlocking predictive analytics.
Enterprise Operational Analytics
Enterprise-grade solutions for operations resource planning, enabling companies to make better decisions about their IT environment.
Featured Client Stories
Boosting Population Health
The client pioneered workflow automation and system integration with community care providers to streamline care coordination and value-based payments.
Infrastructure Automation for Financial Services
A US-based global financial investment services firm successfully deploys a multi-cloud portal that provides a self-service infrastructure to development staff and business users.
Automating Daily Banking
The client wanted to automate their daily banking reconciliation process where they match transactions in the company’s book (in ERP) along with bankers’ statements.
AI-based Oncology Scribing
The client, an oncology-focussed technology provider, implemented OCR-based image-to-digital scribing, with great success.
System needed to:
- Interface with legacy file delivery mechanisms such as Fax;
- Communicate with file servers containing hand-written documents;
- Scribe the scanned documents and translate the text to digital formats;
- Create regression models for trained and untrained data
- OCR technology for the reading interfaces;
- Apache NiFi and Apache Kafka for the data ingestion;
- NLP-NLTK for the scribing element.
- The team set small achievable goals and hit MVP increments.
- The team delivered MVPs in a manner which were production-usable.
Key Results Achieved
- System now scribes hundreds of thousands of hand-written images and PDFs.
- Complex business intelligence, data mapping and matching algorithms in place.
- Regression models (trained and untrained) continue to improve the efficacy of the system.
- NLP-NLTK effectively uncovered the hand-written notes for analytics.