Generative AI

At Ekaa Analytics, we guide your Generative AI journey through a structured, end-to-end approach—from raw enterprise data to governed, production-ready AI systems. We prepare and embed data into governed vector stores, select or fine-tune the right models, build Retrieval-Augmented Generation (RAG) pipelines, and enable agent-based orchestration with human-in-the-loop controls—supported by tracking, guardrails, and auditability in production.

Across every stage, we leverage deep expertise in Databricks, Snowflake, and Microsoft Fabric. From MLflow, Mosaic AI, and Vector Search to Snowflake Cortex and Fabric’s OneLake and Purview, we ensure AI is grounded in trusted data, securely deployed, and seamlessly integrated into business workflows—enabling scalable, compliant, and impactful AI adoption.

RAG & Knowledge Retrieval

  • Semantic Search Solutions: Building intelligent search systems across enterprise documents and knowledge repositories.
  • Enterprise Q&A Automation: Enabling users to ask questions and receive context-aware answers retrieved from internal data sources.

LLM Fine-tuning & Customisation

  • Foundation Model Adaptation: Customizing models like Llama, Mistral, and GPT-4 for domain-specific use cases.
  • Advanced Fine-Tuning: Applying LoRA and RLHF techniques using Databricks MLflow infrastructure.

AI Agents & Automation

  • Autonomous Agent Deployment: Building AI agents to execute multi-step business workflows independently.
  • Workflow Orchestration & Control: Enabling data retrieval, code execution, API orchestration, and human-in-the-loop governance.

Copilot Development

  • Internal Copilot Development: Building AI copilots for finance, HR, and operations teams to streamline internal workflows and decision-making.
  • Enterprise AI Grounding: Leveraging Azure OpenAI, Databricks Mosaic AI, and Snowflake Cortex with governed enterprise data across Microsoft Fabric, Unity Catalog, and Horizon Catalog.

Data-Grounded AI Pipelines

  • Governed GenAI Integration: Connecting GenAI solutions directly to governed enterprise data platforms.
  • Real-Time Trusted Responses: Leveraging Delta Lake, Snowflake, and Fabric data for fresh, accurate outputs with reduced hallucinations.

AI Governance & Safety

  • Responsible AI Governance: Implementing guardrails, bias detection, and policy controls using Databricks Mosaic AI Guardrails, Snowflake Cortex Guard, and Microsoft Responsible AI frameworks.
  • Compliance & Auditability: Enabling MLflow Model Registry, Snowflake governance/audit controls, and Fabric Purview-based lineage for enterprise compliance and traceability.

Single-Purpose Autonomous Agents

  • Task Automation Agents: Deploying focused AI agents using Databricks Agent Bricks, Snowflake Cortex Agents, and Azure AI to execute research, analysis, extraction, and reporting.
  • Autonomous Execution: Enabling independent task completion with governed workflows and minimal human intervention.

Multi-Agent Orchestration

  • Collaborative Agent Networks: Building teams of specialized agents orchestrated through Databricks Mosaic AI and Azure AI Foundry for role-based execution.
  • Coordinated Problem Solving: Enabling agents to delegate, validate, and collaborate across complex enterprise workflows.

Intelligent Process Automation

  • Next-Gen Workflow Automation: Replacing brittle RPA scripts with intelligent agents powered by Cortex Agents, Copilot Studio, and Databricks AI.
  • Adaptive Enterprise Integration: Connecting agents across ERP, CRM, APIs, and SaaS systems with dynamic exception handling.

Agentic Analytics & Insights

  • Autonomous Data Intelligence: Deploying agents that query Snowflake, Databricks SQL, and Fabric semantic models to generate insights and dashboards.
  • Proactive Business Monitoring: Using AI agents to surface anomalies, explain trends, and automate analyst-driven investigations.

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