Technology Areas

Nine practice areas, from generative AI and retrieval to MLOps and responsible AI.

06

Model-agnostic and cloud-agnostic by design. The stack follows the problem, not a partnership agreement.

  • Generative AI

    LLMs, RAG, embeddings, fine-tuning, and applications built on them.

  • AI Agents

    Agentic AI, autonomous workflows, and multi-agent systems with guardrails.

  • Machine Learning

    Predictive analytics, classification, and recommendation systems.

  • NLP

    Text analysis, language applications, and conversational AI.

  • Computer Vision

    Image analysis, video analysis, inspection, and visual AI.

  • AI Automation

    Business workflow and process automation, document to decision.

  • MLOps

    Model deployment, monitoring, evaluation, CI/CD, and AI infrastructure.

  • AI Architecture

    Enterprise AI architecture and end-to-end solution design.

  • Responsible AI

    Governance, risk, security, privacy, and systematic evaluation.

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