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Your business, agentified
from design to delivery.

Your business, agentified
from design to delivery.

We engineer private AI systems that manage data, actions, and logic with traceability, alerts, and full tooling control.

We engineer private AI systems that manage data, actions, and logic with traceability, alerts, and full tooling control.

Scope of Delivery

After gathering and structuring all relevant business information and requirements from business analysts, we deliver the full lifecycle of agentic AI system deployment through the following stages:

AI Model Strategy

  • Analyze use cases and operational context to select the most suitable LLMs or multi-agent models.

  • Apply fine-tuning or custom embeddings as needed for alignment with business-specific language and workflows.

Deployment Strategy

  • Offer flexible deployment options:

    • On-Premise

    • Hybrid (Private + Cloud)

    • Full Cloud Deployment

  • All options are tailored to match the organization’s infrastructure, compliance, and scalability needs.

System Architecture Design

  • Design a complete architecture that integrates:

    • Existing business infrastructure

    • All defined use cases and workflow patterns

    • AI agent orchestration layers

  • Ensure modular design for scalability, observability, and security.

Task Development & Execution Layer

  • Develop all agent tasks according to a unified Agent Task-Object (ATO) standard, enabling interoperability, modular execution, and clarity across workflows.

  • Build and align execution logic with:

    • Secure and observable agent runtime environments

    • CI/CD pipelines for continuous task deployment and iteration

    • Role-based security and execution policies

  • Enable external agent support by designing tasks and workflows to interface with MCP-compatible servers, allowing:

    • Multi-agent collaboration across distributed environments

    • Integration with third-party or partner-owned agents and services

    • Dynamic task delegation and data flow across agent networks

  • All pipelines are mapped and executed with support for Hugging Face Spaces, custom microservices, or local runtime agents.

Agent Tooling Infrastructure

  • Provide full access to the tools and infrastructure supporting the agents, including:

    • Task Execution Tool

    • Queue Management System

    • Alerts & Notification Center

    • Logs & Insights Monitoring

    • Admin Manager Interface

  • Optionally develop custom in-house technology for any of these components based on organizational needs.

Framework Installation and Inquiries

Omar Soman