Core AI Services

Core-AI builds complete AI solutions that run directly on your infrastructure. Our focus is on privacy, production readiness, and full system ownership. We help organizations move from AI experimentation to robust, scalable production systems.

Enterprise AI Chatbots

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Custom AI assistants trained on your internal data to provide accurate, context-aware responses.

These chatbots are designed to integrate seamlessly with your company knowledge, allowing employees and customers to query complex documentation through a natural conversational interface.

Key Capabilities:

• Document Search: Instantly find information across large document collections.
• Contextual Conversation: Maintain context for multi-turn reasoning and problem-solving.
• Role-based Access Control: Ensure users only see information they are authorized to access.
• Multilingual Support: Communicate effectively across different languages and regions.
• Analytics Dashboard: Monitor usage patterns and improve system performance over time.

Architecture Example

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graph LR
  User((User)) --> CI((Interface))
  CI --> KR((Retrieval))
  KR --> LLM((Local
LLM))
  LLM --> Ans((Answer))

  classDef n1 fill:#3b82f6,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n2 fill:#6366f1,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n3 fill:#8b5cf6,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n4 fill:#a855f7,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n5 fill:#c084fc,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;

  class User n1;
  class CI n2;
  class KR n3;
  class LLM n4;
  class Ans n5;

AI Agents

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Autonomous AI systems designed to perform complex business tasks and automate multi-step workflows.

Unlike simple chatbots, AI Agents can use tools, browse the web, and interact with your internal systems to complete objectives with minimal human intervention.

Example Agents:

• Research Agent: Gathers information from multiple sources and produces structured, comprehensive reports.
• Operations Agent: Automates internal workflows by connecting different software systems and processing data.
• Data Analysis Agent: Interprets internal datasets to identify trends and generate business insights.

Agent Architecture

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graph LR
  Req((Request)) --> Plan((Planner))
  Plan --> Exec((Execution))
  Exec --> Sys((Systems))
  Sys --> Out((Output))

  classDef n1 fill:#3b82f6,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n2 fill:#6366f1,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n3 fill:#8b5cf6,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n4 fill:#a855f7,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n5 fill:#c084fc,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;

  class Req n1;
  class Plan n2;
  class Exec n3;
  class Sys n4;
  class Out n5;

Document Intelligence

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Convert large, unstructured document collections into searchable, AI-ready knowledge bases.

We build processing pipelines that transform PDFs, internal wikis, and databases into a format that LLMs can understand and query accurately.

Results & Benefits:

• Faster Knowledge Discovery: Reduce the time spent searching for information by up to 90%.
• Automated Report Generation: Generate summaries and technical reports from raw documentation.
• AI-Powered Search: Move beyond keyword matching to true semantic understanding of your data.

Processing Pipeline

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graph LR
  Docs((Docs)) --> Proc((Processing))
  Proc --> Emb((Embeddings))
  Emb --> Vect((Vector
DB))
  Vect --> Resp((Response))

  classDef n1 fill:#3b82f6,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n2 fill:#6366f1,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n3 fill:#8b5cf6,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n4 fill:#a855f7,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n5 fill:#c084fc,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;

  class Docs n1;
  class Proc n2;
  class Emb n3;
  class Vect n4;
  class Resp n5;

AI Infrastructure Deployment

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Core-AI builds the underlying infrastructure required to run modern AI models securely and efficiently on-premise or in your private cloud.

Infrastructure Components:

• AI Model Servers: High-performance servers for local LLM inference and GPU-accelerated workloads.
• Optimized Data Layer: Secure vector databases and document stores optimized for retrieval.
• Orchestration Layer: Management of agent workflows, model routing, and API integrations.

System Architecture

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graph LR
  Users((Users)) --> Gate((Gateway))
  Gate --> Serv((Services))
  Serv --> LLMs((Local
LLMs))
  LLMs --> Data((Data
Sys))

  classDef n1 fill:#3b82f6,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n2 fill:#6366f1,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n3 fill:#8b5cf6,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n4 fill:#a855f7,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;
  classDef n5 fill:#c084fc,stroke:#333,stroke-width:2px,color:#fff,font-size:20px;

  class Users n1;
  class Gate n2;
  class Serv n3;
  class LLMs n4;
  class Data n5;

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