Your defense companion in silico
Combines classical, quantum, and generative AI within an open-source, extensible framework that supports multi-cloud and customer-hosted deployments — keeping all data within the customer’s cloud boundary.
Offers complete control over AI models, including fine-tuning, RLHF, prompt engineering, and UI/controller customization — all while preserving core security and product integrity.
Mixes small LLMs (trained on customer data) with large LLMs (Tek Yantra cloud-hosted) for optimized cost and performance; supports predictive analytics, CV, and decision trees for non-GPT use cases.
Supports parameter tuning, RLHF, and transparency using open-source generative models (~7B scale) optimized for low CPU environments.
Combines fine-tuned LLMs, multi-modal models, NLP, code generation, and expert systems — tailored for customer-hosted deployment.
Includes support for GPT-4.1, Claude 3.7, Gemini 2.5, and SONAR, along with predictive analytics (LightGBM, XGBoost) and computer vision for malware/image detection.
Implements LangGraph, LangChain, MCP, and A2A protocols for autonomous agent behavior and orchestration.
Provides full-stack security oversight from design through post-production (SIEM/SOAR/CNAPP).
Enables risk prediction, insider threat detection, and zero-day vulnerability scoring using quantum and AI.
Scalability, resilience, interoperability.
Cutting edge quantum computing for cryptography and pattern recognition/anomaly detection use cases as well as threat modelling
Langchain, Langraph, Model Context Protocol (MCP) and Agent to Agent (A2A) powered advanced computing
Classical Computing (real-time ops) + Hybrid AI/ML & Quantum Computing (QC) (advanced anomaly detection, risk modeling).
AWS, Azure, GCP, Kubernetes on-prem
Intuitive dashboard, chat (Slack, Whatsapp, Teams bots), Email, CNAPP/SIEM integration (API based integration with Sentinel UI, Security Hub UI etc.), A2A, Cloud Events consumers