Turning data and knowledge into practical value

We develop intelligent IoT solutions, tailored AI assistants and digital learning tools to help businesses and research organisations make practical use of data and knowledge in their operations, research and learning.

Conceptual illustration showing equipment data and documents flowing through analysis into insights and practical outcomes.
INTELLIGENT IoT SOLUTIONS

Understand your equipment.
Inform your next decision.

We build on our IoT technology and ongoing development to connect equipment data with practical maintenance and energy questions.

Conceptual illustration of industrial and medical IoT devices connected through a gateway to a monitoring dashboard.
EQUIPMENT CONDITION

Condition Monitoring & Predictive Maintenance

We develop monitoring and analytical tools to understand equipment behaviour and support timely maintenance decisions.

  • Equipment monitoringBring available sensor readings and operating data into a clear view of equipment condition.
  • Deviation analysisIdentify changes in operating patterns for further investigation.
  • Maintenance decision supportDevelop and evaluate indicators that help technical teams prioritise inspections and maintenance.
ENERGY PERFORMANCE

Energy Monitoring & Efficiency

We develop tools to make energy consumption easier to understand and support the assessment of efficiency opportunities.

  • Consumption visibilityConnect available meter and equipment data with dashboards and reporting.
  • Operating pattern analysisExplore how energy use varies with operating conditions and identify unusual consumption.
  • Improvement evaluationEstablish relevant baselines and assess changes against agreed operating conditions and measures.
AI ASSISTANTS & WORKFLOW AUTOMATION

Make knowledge more useful in business and research.

We develop tailored AI assistants around specific business and research tasks, organisational knowledge and working practices, supporting employees, researchers and technical teams.

Conceptual illustration of organisational documents, an AI assistant and a source-supported response.
KNOWLEDGE & DOCUMENTS

AI assistants for your team

  • Internal knowledge assistantsHelp teams find and use information in selected organisational manuals, procedures and documents, with references to the source material.
  • Document & reporting supportAssist with drafting, summarising and reviewing documents and reports, with outputs checked by the user.
TASKS & WORKFLOWS

Support for everyday work

  • Workflow assistanceDevelop support for clearly defined, repeatable tasks, with review and approval steps agreed for each workflow.
  • Tools shaped around your needsConnect relevant information and task instructions to a focused assistant, and evaluate its usefulness in the intended working context.
RESEARCH & DEVELOPMENT

AI-assisted knowledge management & research workflows

We develop focused assistants for university laboratories, research centres and company R&D teams, shaped around their research projects, approved information sources and working practices.

Research knowledge assistants

Help researchers find and use information across selected publications, protocols, technical documentation and project records, with references to the source material.

Research workflow support

Support literature organisation, preparation of research documentation and clearly defined project tasks, with researchers reviewing outputs and approving subsequent actions.

DIGITAL LEARNING TOOLS

Digital tools for learning and skills.

Discuss your needs ↗
Conceptual illustration of learning objectives, activities and assessment with a digital learning interface.

We develop digital learning tools to support education, professional training and workforce skills development.

Our interests include digital learning tools, support for educators and trainers, and workforce skills development. We welcome focused collaborations with vocational education and training providers, education organisations and employers.

SUPPORTING SERVICES

Cloud Applications & Deployment

We build and deploy secure cloud applications shaped around specific business tasks, helping organisations modernise their systems, protect their data and support everyday work.

BUILD & DEPLOY

Bring your applications to the cloud.

  • Cloud migrationPlan and carry out the transfer of existing applications and data to the cloud, with checks for data integrity and access.
  • Application deploymentSet up and configure cloud environments, deploy applications and test them before handover.
CONTINUITY & GROWTH

Support operations as needs evolve.

  • Operational continuityPlan and test transitions to minimise disruption to daily work, with agreed changeover and recovery steps.
  • Scalable architectureDesign infrastructure around expected workloads, with capacity that can be adjusted as demand changes.
SECURITY & COST

Design for protection and control.

  • Security by designBuild security requirements into the architecture, including access controls, data protection and monitoring.
  • Cloud cost optimisationConfigure and monitor resources to match workload needs, using automated scaling where appropriate and reviewing costs over time.
ABOUT GlaucusAI Labs

Technology with a practical purpose.

GlaucusAI Labs develops intelligent IoT solutions, AI assistants and digital learning tools for businesses, university laboratories, research centres and company R&D teams.

Our areas of development connect equipment performance and energy efficiency with AI-assisted knowledge management, business and research workflows, and digital skills. We shape each application around a defined operational, research or learning need.

We also support cloud application development, migration and deployment, connecting our specialist services with the infrastructure needed for everyday use.

Our approach starts with understanding the need, then developing and evaluating practical applications with attention to usability and the intended working context.

GET IN TOUCH

Let’s discuss your needs.

Tell us about your equipment, energy efficiency, AI assistant, knowledge management, research workflow, digital learning or cloud application needs.

contact@glaucus.ai ↗

Include your organisation and a short description of what you would like to achieve.

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PROJECTS / COMMERCIAL REFRIGERATION

IoT Monitoring & Maintenance for Commercial Refrigeration

An application under development to explore how equipment data can support condition monitoring, maintenance decisions and energy performance assessment in commercial refrigeration.

Project stage: development. The current implementation brings together historical equipment readings, forecasts and alerts. Further development evaluates the analytical indicators and their usefulness for maintenance decisions.
CURRENT IMPLEMENTATION

Equipment behaviour, in context.

Our refrigeration dashboard brings together recorded measurements, forecasts and alerts, helping technical teams review changes in equipment behaviour over time.

Adapted refrigeration dashboard for Cold Room A: recorded and forecast daily temperature and superheat during September 2026, with selected deviation and threshold alerts.
Current dashboard overview.
01 / OPERATING TRENDS

Follow equipment behaviour

Review cold room temperature, cooling demand, EEV valve opening and evaporation temperature, with superheat where available. Select a cold room and move through its recorded history in the application.

02 / ACTUAL VS FORECAST

Compare readings and forecasts

Compare recorded daily values with forecasts from the previous day. View temperature setpoints alongside the measurements to support interpretation of operating conditions.

03 / ALERTS IN CONTEXT

Review signals for investigation

Review deviations, threshold proximity, trends and rule-based alerts with their supporting measurements. Relate alerts to the equipment history and mark known incidents for technical review.

Technical approach

Start with a defined refrigeration unit, establish which measurements are available, and assess whether they can provide useful maintenance information.

From equipment data to informed maintenance decisions.
  1. Data acquisition

    Collect available sensor, controller and meter readings.

  2. Data preparation

    Align timestamps, integrate readings and check data quality.

  3. Condition analysis

    Compare expected behaviour, deviations and operating trends.

  4. Maintenance decision support

    Present indicators and alerts for technical investigation.

  5. Evaluation & refinement

    Review findings against technical assessments, maintenance records and energy data where available.

Evaluation feeds back into analysis

↳ Evaluation findings feed back into condition analysis.

Energy performance assessment. Where energy consumption measurements are available, we examine them alongside equipment behaviour and operating conditions, comparing changes against relevant baselines to assess potential efficiency improvements.

DEVELOPMENT & EVALUATION

From measurements to useful evidence.

The current dashboard supports historical review of refrigeration measurements, forecasts and alerts. Further evaluation will compare these indicators with technical assessments and maintenance records where available.

Evaluation will examine data completeness, the relevance of detected deviations, false alerts and the usefulness of the information for maintenance decisions. Where labelled events are available, detection performance and warning time can also be assessed.

Development and evaluation focus on the usefulness of maintenance indicators and the assessment of energy performance under relevant operating conditions.

Discuss this project ↗
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PROJECTS / AI ASSISTANTS

Tailored AI Assistants for Business & Research

A project approach for connecting selected documents and organisational knowledge with focused assistants that support everyday work and research tasks.

PROJECT OVERVIEW

From information to useful support.

The assistant is shaped around a defined task and a selected set of sources, helping users find relevant information, prepare documents and work through agreed steps.

Selected knowledge. Focused assistance. Reviewed outcomes.
  1. Selected information

    Manuals, procedures, project records, publications and technical documentation relevant to the task.

  2. Tailored AI assistant

    Task instructions, retrieval of relevant source material and support for clearly defined workflow steps.

  3. User review & use

    Responses with source references, draft documents and suggested next steps for the user to check.

01 / KNOWLEDGE ACCESS

Find and use relevant information

Ask questions across selected documents and review the supporting sources. The scope can cover organisational procedures, technical guidance or research project knowledge.

02 / DOCUMENT SUPPORT

Prepare and review documents

Support summarising, drafting and reviewing reports or research documentation, using agreed instructions and reference material, with the user checking the output.

03 / WORKFLOW ASSISTANCE

Support repeatable tasks

Guide users through defined steps, such as gathering information, preparing a structured draft and checking completeness, with review and approval points agreed in advance.

Technical approach

Start with a specific working need, identify the relevant knowledge and assess whether the assistant provides useful, dependable support for that task.

From a defined need to an evaluated assistant.
  1. Task & scope

    Define the users, working need, expected outputs and review responsibilities.

  2. Knowledge preparation

    Select and organise relevant sources, checking access permissions and document quality.

  3. Assistant configuration

    Configure task instructions, source retrieval, response format and workflow steps.

  4. Evaluation

    Test representative tasks for accuracy, source support, completion time and user corrections.

  5. Refinement & use

    Review findings with users, refine the assistant and agree how it will be maintained.

Findings inform assistant refinement

↳ Evaluation and user feedback inform assistant refinement.

DEVELOPMENT & EVALUATION

Useful support, assessed in context.

Evaluation uses representative business or research tasks and relevant source material, with users reviewing the assistant’s responses and the work required to correct them.

The assessment considers factual accuracy, whether references support the response, task completion time and the corrections required. Tests also examine how the assistant handles questions that the selected sources cannot answer.

The intended users may include business teams, university laboratories, research centres and company R&D teams. Each application is developed around its own knowledge sources and working practices.

Discuss an AI assistant project ↗

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Website information

This website introduces the focus areas and collaboration interests of GlaucusAI Labs. Development descriptions do not represent a commitment that a finished product or a particular performance level is available.

Deliverables, responsibilities, intellectual property and service terms will be agreed for each engagement.

For enquiries or a company profile, email contact@glaucus.ai.