One Knowledge Layer. Three Ways to Use It.
iA turns your content into a single, secure, continuously updated foundation. From there, choose how to put it to work: as a RAG-as-a-Service chat and search experience, as a connector feeding other AI platforms, or as the grounding for autonomous agents that act on your behalf.
How It Works
Everything starts with the same pipeline, regardless of which tier you use.
1. Ingest
Automated content parsers and converters bring in structured and unstructured sources: XML, DITA, Markdown, PDF, DOCX, XLSX, and linked CMS feeds for continual updates.
2. Secure & Index
Content is encrypted at rest, access-controlled, and indexed for retrieval.
3. Retrieve & Verify
iA retrieves the most relevant material, reranks it to filter false positives, and self-reflectively evaluates its own sources before responding — reducing noise and minimising hallucination.
4. Deliver
The verified, attributed result is handed off to whichever layer you’re using: a chat/search interface, a connector into another platform, or an agent taking the next action.
Foundation Features
These capabilities underpin every solution tier.
Data Exchanger
Pre-configured content parsers and automated source document converters for faster implementation with linked CMS options for continual updates.
Secure Content
Enterprise-grade security with encrypted storage and controlled access.
Language Independence
Enable AI translation features supporting multiple languages regardless of your source content, ask and respond in any language.
Reflow Feedback
Reflow corrected responses directly from the user interface to easily update and improve your content for similar future requests.
Reranking
Re-ranking filters false positives, delivering topically precise content, ensuring relevance and trust.
Tonal Analysis
Adaptive problem solving helps to clarify the user’s intention and guide the tone of the conversation with follow-up question and topic suggestions.
Self Reflective Processing
Smart decision making, pre-evaluating the sources it uses, reducing noise and improving response quality.
Transparent Attribution
Every output can be traced back to actual source documents or data snippets, maintaining accountability and transparency.
Conversation Memory
Keeps track of conversations and enables the user to layer their requests.
Flexibility & Customisation
Configure around your requirements, be it choice of AI model, architecture, toolsets or setting up customised UI.
Scalable Solutions
Whether you’re a small team or growing enterprise, our model adapts to fit your size and budget.
Efficiency & Environment
Our efficient context features and targeted choice of LLM result in much lower energy use than flagship public apps. Our environmental investments are further aimed at offsetting energy usage.
Fast
Quick deployment and setup
Scalable
Grows with your business
Secure
Enterprise-grade security
Flexible
Customised to your needs
Technical Foundations
Data Import & Security
Automated feed content converters and data parsers with enterprise-grade security featuring encrypted storage and controlled access.
- Structured data parsing (XML, DITA, Markdown)
- Document format support (PDF, DOCX, XLSX)
- Fernet symmetric encryption
AI Models & Accuracy
Flexible LLM integration with advanced accuracy features to ensure reliable responses.
- OpenAI, Claude, Llama, Cohere and other model compatibility
- Content verified responses (minimising LLM hallucination)
- Ranked feedback loop for improvement
Three Ways to Use Your Knowledge Layer
Once your content is in iA, choose how far you want to take it.
RAGaaS
Chat, search, and content generation directly against your knowledge base. The fastest way to put your content to work.
Connectors
Feed your verified, attributed knowledge into Claude and other AI platforms and tools your team already uses — no separate interface to adopt.
Agents
Autonomous agents grounded in your knowledge base that don’t just answer questions, but take the next action.