Enterprise-Grade AI, Faster5 Years. 3 Phases.
1 Engine.
Building AI features from scratch takes months. Integrating third-party LLMs securely and compliantly is complex.
We've solved this. Our standard LLM integration framework lets you deploy chatbots, predictive engines, and intelligent automation in weeks, not quarters.
AI Capabilities
Custom chatbots & virtual assistants
Predictive risk & analytics engines
Document processing & extraction
Intelligent search & recommendations
Automated content generation
Computer vision integration
Our AI Stack
Rapid Onboarding
Pods spin up in 1–2 weeks with engineers who match your tech stack and domain.
Vector Databases
Pinecone, Weaviate, Qdrant for semantic search and RAG (Retrieval-Augmented Generation).
Computer Vision
Proprietary CV libraries via our partner Vizenta AI for image/video analysis.
MLOps & Monitoring
Production-grade deployment with monitoring, versioning, and cost optimization.
Case Study: Jindal Stainless
Challenge:
Needed to integrate LLMs into their Crashview platform to provide predictive risk insights while maintaining SOC 2 compliance.
Solution:
Deployed our standard LLM integration framework with custom risk prediction models, secure data handling, and audit logging.
Result:
Achieved SOC 2 compliance while delivering AI-powered predictive risk insights that differentiated their platform in the market.
