Custom AI/ML Solutions
Our AI & ML developers build custom generative AI solutions to create innovative applications, streamline workflows, and enhance efficiency across diverse industries, to help you make smart decisions, leading your business to success.
Conversational AI
- Customer Support Chatbots
- Generative AI Bots
- Context Aware Interactions
- Virtual assistants - Voice and Text based
Predictive Analytics
- Identify the business objective
- Determine the datasets
- Create processes for sharing and using insights
- Choose the right software solutions
Intelligent Automation
- Process Automation
- Data-Driven Decision Making
- Continuous Learning and Improvement
- Helps enable scalable Operations
- Delivers Real - Time Insights
Document Intelligence
- Data processing and Data Extraction
- Document Organisation and Management
- OCR + NLP Combined Solutions
- Enhance Compliance and Auditability
- Accelerate Document Workflow
AI-Powered Search & Recommendations
- Semantic Search / Query on Documents
- Product & Content Recommendations
- Vector Embedding Search Solutions
- Real time relevance tuning
Computer Vision
- Object & Defect Detection and tracking
- Activity Recognition
- Optical Character Recognition for Handwritten or Printed Forms
- Automated Visual Inspection
- Facial Recognition and Analysis
AI-Driven Cybersecurity
- Real-time Threat & Anomaly Detection
- Fraud & Phishing Identification
- AI for SIEM Enhancement systems
- Behavioural Analytics
- Enhanced SIEM capabilities
MLOps & Infrastructure
- Model Monitoring
- End to End Model Life cycle management
- CI/CD for ML Models
- On-Premises or Cloud AI Architecture
- Data Annotations & Data Labeling
AI Model Training & Validation
- Custom Model Architectures
- Data Preprocessing - Normalisation and Feature extraction
- Training with Structured & Unstructured Data
- Cross-Validation & Performance Tuning
- Model validation and Metrics
Data Annotation
- Enables Supervised Learning Models
- High Quality Training Data Creation
- Custom Labeling for Business Needs
- Improves Model Performance Across Domains
- Drives Automation with Human-in-the-Loop
Content Modernization
- Transforms Legacy Content for Digital Channels
- Enhances Discoverability with AI
- Boosts Engagement and Accessibility
Fraud Detection
- Real-time Transaction Monitoring using ML
- User Behaviour Analytics for Anomaly Detection
- Deep Learning Models for Identity Theft Prevention
- Graph-based Fraud Pattern Recognition
- AI-powered Risk Scoring & Alert Systems
