Qinch Intelligence Engine · QIE

One growing brain for your whole organisation.

QIE connects to every app and database you already run, makes sense of the knowledge inside them, and puts it to work — in chatbots, automations and enterprise systems. No extra work to get on-demand, AI-driven answers.

Structured + unstructured data Multi-LLM agent suite Runs on your infrastructure
QIE · knowledge flowingest → understand → apply
Retrieval: graph + vector Evaluation: metric-driven Processing: local infrastructure
Connects with
SQL & NoSQL databasesPDFs, Office docs, wikisSlack & Microsoft TeamsEmailERP, CRM & ticketingInternal APIsLive web search
How QIE works

Built for hyper‑connectivity and scale.

The key is our knowledge ingestion orchestrator. It manages the end-to-end ingestion of complex knowledge from multiple systems, sources and formats — then a suite of AI agents and multiple LLMs turn it into answers you can rely on.

01 · Ingest

Connect everything you already run

The orchestrator plugs into every app and database — structured tables and unstructured documents alike — and keeps ingesting as they change.

  • Structured and unstructured formats
  • Multiple systems, sources and forms
  • Nothing to reformat or re-key
02 · Understand

Figure out your organisational intelligence

Specialised agents break each task into smaller sub-tasks, structure knowledge as graphs and vectors, and check their own work before anything is stored.

  • Graph-based data structuring
  • Multi-modal, self-reflective agents
  • Metric-driven evaluation of every answer
03 · Apply

One brain, many applications

The same knowledge powers chatbots, RPA and enterprise systems — and keeps growing over time with AI web search.

  • Slack, Teams and web chatbots
  • RPA and enterprise integrations
  • Expands with AI web search
Qinch AI agents

Accuracy and reliability, by design.

Instead of asking one model to do everything, QIE breaks complex AI tasks into smaller, specialised sub-tasks — each handled by a multi-modal agent that is self-reflective and corrective.

Structure

Graph-based knowledge

Entities and relationships are stored as a graph alongside vector representations, so retrieval understands context, not just keywords.

Evaluate

Metric-driven answers

Every response is scored for retrieval accuracy, contextual relevance and information correctness before it reaches a user.

Adapt

Adaptive behaviours

Agents reflect on their own output, correct mistakes and adjust to the way your organisation actually works.

Models

Multiple LLMs, chosen per task

The right model for each sub-task — including locally hosted models — rather than a single vendor dependency.

Agent loopper sub-task

QIE has shown measurable improvements in retrieval accuracy, contextual relevance and information correctness.

Deployment

Your data stays where it belongs.

AI at work should be safe, accessible and value-driven for organisations of every size — which is why QIE runs inside your own infrastructure.

89%up to, vs cloud

Data sovereignty

All AI processing occurs within your local infrastructure. Optional local AI appliances cost up to 89% less than cloud-based options — critical for healthcare and finance.

Scalability and customisation

From a small deployment to comprehensive infrastructure, solutions scale to your specific needs without re-platforming.

Rapid deployment and integration

Seamless integration with the enterprise systems you already have, minimising downtime and disruption.

Support and training

Extensive support and training for your teams, from initial setup through ongoing operation.

Tested and accredited
Accredited memberAI Verify FoundationSingapore's open-source AI governance testing community
PartnerProject MoonshotLLM evaluation toolkit for benchmarking and red-teaming
CommitmentBias and safety testingRigorous testing on everything we deploy for clients
Talk to us

See QIE running on your own data.

Tell us a little about your systems and we'll come back with how QIE would connect to them — and what a first deployment looks like.

  • AI Quick Start engagements
  • Our consulting approach: People, Processes, Technology
  • On-premise and appliance deployment options

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