• Business Intelligence

    QOOBIX & IDAAS Private intelligence systems for serious business decisions Sienda develops private digital systems for businesses that need clarity, confidentiality and structured intelligence. Two of our core areas are QOOBIX and IDAAS. They are closely connected, but they are not the same thing. QOOBIX is Sienda’s private AI-assisted market-intelligence environment. It helps organisations investigate […]

  • IDAAS

    IDAAS: Intelligence Delivered As A Service Tell us what you need to understand about a market; we process your business context, target countries, competitors, channels, and objectives, then return a structured intelligence package with analysis, findings, and practical next steps. IDAAS is a managed business-intelligence service for companies that need to examine a market before […]

  • QOOBIX

    Private digital market twins for sharper commercial decisions. QOOBIX is a provisioned market-intelligence system that helps companies analyse markets, discover candidate organisations, map competitors, and decide where commercial action should begin. It builds a private digital twin of a company’s commercial territory: a structured model of products, services, target countries, regions, customer segments, competitors, distributors, […]

  • Jambastic

    The problem Most organisations still pass sensitive operational details through channels that were never meant to hold them properly. A password is dropped into an email. A private link is sent through a chat tool. A settlement figure sits in a message history. Access instructions end up copied into a shared note or forwarded thread. […]

  • Prompt Contracts

    Prompt Contracts for Coding: What They Are, Why They Work, and How to Use Them (with Practical Examples) If you’ve ever asked a GPT to “build a feature” and received something that almost matches what you meant, you’ve already discovered the core problem: a coding request is rarely a single sentence. It’s a small specification, […]

  • AI Agents Flow

    How we deliver operational AI agents without the hype Most “AI projects” fail for boring reasons: unclear scope, messy knowledge, missing guardrails, and no plan for what happens when the model is unsure. Our approach is simple: we treat an AI agent as a governed workflow component, not a magic intern. That means boundaries, escalation […]

  • What Our AI Agents Do

    What Our AI Agents Actually Do for SMEs (Examples Included) These are some of the agent workflows we build. The point isn’t “automation for its own sake”. The point is this: An agent doesn’t just answer. It runs a process.It watches inputs, makes decisions using your rules, uses tools, escalates when needed, and logs what […]

  • Case Studies

    Real-World AI Agent Case Studies (Anonymised) Most businesses don’t need “AI.” They need fewer dropped enquiries, faster resolution, fewer mistakes, and a clear audit trail when something goes wrong. The examples below are anonymised. They include only information we are allowed to share and are deliberately written at a level that protects client identity, internal […]

  • AI Chatbot vs AI Agent

    AI Chatbot vs AI Agent: Same Buzzword Family, Very Different Personalities People keep using chatbot and agent as if they’re interchangeable. They’re not. That’s like calling a waiter and a head chef “the same thing because both involve food”. An AI chatbot mostly talks.An AI agent does things (often across multiple steps, sometimes across multiple […]

  • Short Demo

    What an AI Agent Looks Like in Practice (Short Demo) What you’re seeingThis is a short walkthrough of our Reference Triage Agent — a demonstration of how an AI agent can classify messy inbound messages, identify missing information, draft a safe reply using approved templates, and escalate risk cases with an audit trail. ImportantThis demo […]

  • AI Agents

    Agents are only useful when they behave like operational systems: scope, guardrails, escalation, and logs. What an AI agent is An AI agent is a workflow worker: it takes input, follows your rules, produces controlled output, and escalates when it should. What makes our agents reliable What we will not promise Reliability

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