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01Capability

AI & Intelligent Systems

Systems that reason over your own information.

AGENTSLLMsRAGVISION

01What we offer

Inside AI & Intelligent Systems.

  • 01

    AI Agents

    Software that plans a task, calls the tools it needs and reports what it did — built against your systems rather than a demo environment.

  • 02

    LLM Applications

    Language models applied to a defined job, with the prompts, evaluation and guardrails that make the behaviour repeatable.

  • 03

    Retrieval-Augmented Generation

    Answers grounded in your documents and data, with the retrieval layer, indexing and citation path engineered as part of the system.

  • 04

    Computer Vision

    Extracting structure from images and video — detection, classification and inspection wired into an operational workflow.

  • 05

    Natural Language Processing

    Turning unstructured text into something a system can act on: classification, extraction, summarisation and routing.

  • 06

    Intelligent Decision Systems

    Models and rules combined so a decision can be made consistently, explained afterwards, and adjusted as conditions change.

02Engineering FAQ

Questions about AI & Intelligent Systems.

How do you reduce hallucinations in a RAG system?

By treating retrieval as part of the system rather than a prompt trick: answers are grounded in passages retrieved from your own indexed documents, the citation path is engineered so a reader can check the source, and the prompts, evaluation and guardrails are what make the behaviour repeatable rather than a one-off demo.

What happens to an AI feature when the model provider has an outage?

We design for it. In Mindora, our AI journaling platform, the AI layer falls through Gemini to Anthropic to HuggingFace and finally to deterministic heuristics, so mood detection gets less precise during an outage but keeps working, and a request never hangs waiting on someone else's API.

Can AI agents act on our internal systems safely?

Yes, with the controls built in from the start: scoped permissions, approval steps for consequential actions, and a record of what the agent did. Agents are built against your real systems rather than a demo environment, so those controls are tested where they matter.

Do you only build chatbots?

No. The capability covers AI agents, LLM applications, retrieval-augmented generation, computer vision, natural language processing and intelligent decision systems that combine models with rules so a decision can be explained afterwards.

03Next

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