Engineering
Intelligence
Frameworks & Technologies
Cutting-edge tools and integrations powering your intelligence environment
At enaiblr, we bring together the most advanced frameworks, models, and infrastructure to power enterprise-scale intelligence. From agentic protocols that enable seamless collaboration, to a broad ecosystem of supported models, to secure and flexible cloud integrations, our technology stack is designed for adaptability and impact. By combining cutting-edge tools with enterprise-grade reliability, we ensure your AI environment is always future-ready.
Agentic Frameworks & Protocols
- Retrieval-Augmented Generation (RAG) for contextual intelligence
- Contextualized Agentic Generation (CAG) for dynamic responses
- Model Context Protocol (MCP) for seamless model communication
- Custom knowledge graphs, vector databases (Pinecone, Weaviate, FAISS)
Supported Models
- OpenAI (GPT Family, Audio & Speech, Deep Research, Codex etc) for versatile AI capabilities
- Google Gemini (Ultra, Pro, MedGemma) for specialized applications
- Anthropic Claude, Meta Llama, Mistral for diverse reasoning approaches
- Full Hugging Face library integration with 100,000+ models instantly
Cloud & Infrastructure
- Azure AI, AWS Bedrock, Google Vertex for cloud-native deployments
- IBM, SAP, Databricks, Palantir enterprise integrations
- Salesforce and CRM platform connectors
- Hybrid and on-premises deployment options for maximum flexibility