AI Tech Stack

To detail your technical infrastructure and development process, appealing to technically-minded stakeholders

Our Development Approach

  1. Discovery & Feasibility
  2. Agent Design & POC
  3. Secure Development & Integration
  4. Governance Implementation
  5. Performance Monitoring & Scaling
AI-Tech-Stack

AI Technology Stack: Built for Agentic Intelligence

Core AI & Models

GPT-4, Claude, LLaMA, OpenAI, Azure OpenAI, Mistral, Llama 3. Vision & multimodal models like CLIP, GPT-4o, and Gemini.

Agentic Frameworks

LangChain, Auto-GPT, CrewAI, Haystack for autonomous workflows, tools, and planning.

Knowledge & Memory

Vector databases like Pinecone, Milvus, and Weaviate for long-term semantic memory.

Tools & Integration

API calling, browser automation, code execution, and integration with platforms like Salesforce and ServiceNow.

Infrastructure & Deployment

Cloud-native on AWS, GCP, and Azure for secure, high-performance deployment.

Monitoring & Optimization

Real-time logging and tracing with tools like LangSmith and PromptLayer, alongside human feedback and alignment controls.
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