Explore our catalog of AI solutions, agents, models, and tools. Find what you need to accelerate your projects.
Utility
Self-healing Selenium WebDriver wrapper for Java 17+. Intercepts findElement calls via JDK dynamic proxies, fingerprints elements on first success, and automatically recovers broken locators using heuristic scoring with optional LLM fallback (Claude or OpenAI). Zero infrastructure ā runs entirely in-process.
Solution
AI-powered knowledge graph and insights platform for enterprise data
Workflow
Enterprise-grade visual workflow platform for building, deploying, and managing AI agent workflows with multi-LLM support (Claude, GPT-5.2, Gemini 3, Groq), 6 integrated tools, drag-and-drop builder with 15 node types, real-time SSE execution streaming, Azure AD SSO, and OWASP-compliant security.
Advanced AI chat with multi-model support and agent-based intelligence
AI Enablement and Efficiency Tracking Portal
A multi-agent agentic AI layer for Telecom Network Operations Centres. Four autonomous agents handle fault resolution, alarm correlation (ML-powered), cross-domain VoLTE RCA, and proactive capacity monitoring. Includes human-in-the-loop controls, live tool-call tracing, and a system flow diagram. Built as a white-label prototype, adaptable to any major operator.
A strategic framework and interactive toolkit designed to transition traditional Network Operations Centers (NOC) into AI-native environments. Features a multi-layer Agentic AI architecture blueprint and a comprehensive maturity assessment tool to guide organizations toward autonomous, zero-touch network operations.
Unified AI Operations Centre for B2B energy suppliers running Gas and Power. Six autonomous AI agents with human-in-loop governance, four operational dashboards, Vi NOC-style system flow walkthrough, and offline conversational assistant. White-label accelerator ā adaptable to any energy supplier.
Dataset
This is a network simulation of a 5G network. It uses a hub and spoke method and consists of 500 RAN sites, 50 Transmission Hub Sites and 6 Core sites. The dataset conforms to 3GPP Release 17 standards. There are two files: 1. JSON file containing the data 2. HTML file which summarises the data and also provides a GUI for viewing the network over a geographical map.