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Contextual search engine
for faster and smarter information retrieval

Facing inefficient and inaccurate information retrieval from extensive datasets? A robust contextual search engine tackles these complexities, improving accuracy and user interaction.
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When search slows you down.

Traditional keyword-based engines struggle with context, often returning inconsistent or irrelevant results. In high-stakes fields like customer service and investigative work, this leads to wasted time, missed insights, and mounting frustration.

  1. Overwhelming results

    Current keyword-based solutions flood users with information but fail to pinpoint specific details in large databases, causing frustration and inefficiency.

  2. Delayed assistance

    Inaccurate historical knowledge, compliance protocol, and performance information hinder service quality and customer satisfaction in mission and service-critical situations.

  3. Lack of bespoke content

    Users struggle to generate relevant content and interact meaningfully with their knowledge bases, reducing productivity and making tasks harder to complete.

Introducing KAIROS: Search that understands you.

KAIROS understands context, not just keywords, to deliver faster, more accurate search results.

Built to surpass traditional search, it finds what matters, when it matters.

Users can interact naturally via a chatbot, which delivers accurate, context-aware responses from the knowledge base.

Contextual Search Engine Kairos - Mobile Mac - Knovel Engineering
Extracts key insights from complex documents, including tables and flowcharts. These help users to make quicker decisions without sifting through pages of data.
Produces newsletters, survey questions, and more based on user preferences and past interactions.
Analyse call transcripts to assess agent performance, and check for compliance with SOPs.

Technologies powering KAIROS.

KAIROS combines smart, user-focused technology to understand context in the midst of all the noise, delivering clarity with only the most relevant information.

Large Language Models (LLMs)

Drive natural language understanding and generation, enabling accurate content creation and chatbot interactions.

Retrieval-Augmented Generation (RAG)

Combines LLMs with real-time data retrieval to enrich responses with up-to-date, relevant information.

Speech-to-text and Diarisation

Converts audio calls into text and identifies individual speakers for detailed analysis.

Optical Character Recognition (OCR)

Drive natural language understanding and generation, enabling accurate content creation and chatbot interactions.

Multimodal Capabilities

Supports audio, video, and image data types, offering seamless interaction across diverse content formats.

Cloud and On-Premise Flexibility

Available as a scalable cloud solution or on-premise for clients needing stricter data control.

Advanced Databases

Utilises vector databases for quick, context-based retrieval of information, ensuring highly relevant search results.

Find context-rich answers instantly with LLM-powered natural language search

Success Stories
Search using plain, natural language and receive accurate, relevant responses instantly.
This secure, AI-powered tool understands context to deliver deeper insights with speed and simplicity.
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Harness the power of GenAI to enhance quality assurance for call-based services

Success Stories
Automatically audit and analyse call recordings to accelerate quality assurance, drive consistent reviews, and uncover insights to improve citizen-facing services.
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Unlock efficiency. Elevate productivity.

Early users of KAIROS reported significant improvements in their information retrieval workflow.

40% time savings

Reduced time spent on information retrieval, allowing teams to focus on higher-value tasks.

25% faster task completion

Improved task efficiency by enabling users to find relevant information quickly.

Up to 20% cost reduction

Achieved significant cost savings through better operational efficiency.

Higher engagement

Personalised content generation and chatbot interactions increased user satisfaction and engagement.

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