Evidence, not claims.
Every entry here is labelled by its actual evidence status — from early product capability through to live deployment — across life sciences, animal health, financial & legal, professional services and environmental applications.
Financial & legal
View all 7 Financial & legal proof →Governed litigation analysis
Complaint-to-strategy reasoning across dense documentary evidence, with a reviewable audit trail suited to adversarial and regulated settings. Agxio⋅Intelligence builds the underlying document-reasoning models directly from case material, while Agxio⋅Cognition turns model output into source-traceable, review-ready legal argument.
Regulatory-ready credit decisioning
Agxio⋅Intelligence built a credit loan-decisioning model that met regulatory requirements in hours rather than weeks or months, demonstrated by Agxio at more than ten times the output of a three-person bank analyst team, with Agxio⋅Cognition generating the source-traceable rationale behind every decision for regulatory review.
Conduct-of-business horizon scanning
Continuous monitoring of conduct-of-business regulatory change — ingesting regulator publications and rule updates, classifying and mapping each change against a firm’s existing policies and controls, and surfacing the gaps that need action. Agxio⋅Intelligence performs the underlying change-detection and classification modelling directly from regulatory text, while Agxio⋅Cognition turns matches into a source-traceable, review-ready impact assessment.
Life sciences & healthcare
View all 5 Life sciences & healthcare proof →Multimodal healthcare classification
83% accuracy and a 0.96 ROC AUC on a labelled, multi-class brain-MRI benchmark, demonstrated by Agxio as in line with specialist-level performance. Agxio⋅Intelligence built and validated the multimodal classification models directly from imaging data, while Agxio⋅Cognition generated the clinician-facing, source-traceable explanation behind every classification.
Explainable AI for skin cancer screening
An explainable prediction engine covering the top 20 skin cancer conditions — around 95% of all presenting cases. Agxio⋅Intelligence builds the underlying discriminative and generative classification models directly from clinical imaging, and Agxio⋅Cognition combines those with rules-based reasoning to produce clinician-interpretable, source-traceable output.
End-of-life pathway & COVID causal-factor analysis
Agxio developed a machine learning solution to identify end-of-life care pathways and the critical causal factors associated with COVID-19 outcomes, working across structured clinical records and unstructured case notes to surface the variables that mattered most. Agxio⋅Intelligence built the underlying causal and survival-modelling pipeline directly from patient-level data, while Agxio⋅Cognition turned model output into source-traceable, clinician-reviewable narrative rather than an opaque risk score.
Animal health & agrifood
View all 4 Animal health & agrifood proof →GALEN microbiome intelligence
Microbiome sequence data engineered into a nutrition and health decision loop, cutting biome-analysis turnaround from the traditional 4–6 weeks to 24–48 hours, in active use across livestock and performance-animal health programmes.
On-farm disease sensing
Sensor fusion engineered for early disease-risk detection and intervention timing, live and in active use on-farm.
Automated parasitology imaging
Chiron automates faecal egg counting and parasite-motility analysis from image and video samples, replacing slow manual microscopy as rising anthelmintic resistance drives demand for faster parasitology pipelines. It has dramatically changed how assays are graded — moving manual, subjective scoring onto a fine-tuned model that grades on a 0–100 scale, and includes a unique model Agxio developed to measure peristalsis. Agxio⋅Intelligence powers the underlying grading models, with Agxio⋅Cognition applied for interpretable, review-ready output.
Professional services
View all 6 Professional services proof →Para-expert knowledge assistant
Agxio⋅Intelligence answers questions directly from an organisation’s own knowledge base using real-time retrieval rather than retraining, and flags when that knowledge base can’t fully answer a question rather than guessing. Built for domain teams without engineering support.
Natural-language database analytics
Agxio⋅DataScience lets non-technical teams query an underlying database directly in plain English — no SQL, no engineering ticket — turning a multi-step reporting request into an immediate, reviewable result set.
Data & platform strategy for a wealth manager
For a leading wealth manager, Agxio redeveloped the underlying data and platform strategy required to support sustained economic growth — auditing the existing data estate, redesigning governance and access models, and setting a platform architecture capable of carrying predictive and generative AI at scale. The engagement paired deep technical architecture work with commercial strategy, aligning the roadmap to the growth case the business needed to make internally.
Environment & sustainability
View all 4 Environment & sustainability proof →Real-time soil, air & water quality analytics
Mercury combines IoT sensors placed in fields, buildings and on machinery with machine learning to monitor nitrates, phosphates, sediment, soil and air quality in real time — live and in active use across multiple farms, and proven further through Ceres, Agxio’s controlled-environment agriculture platform, where robotics and automated control systems actively manage growing conditions across live CEA sites. Agxio⋅Intelligence builds the underlying anomaly-detection and risk-scoring models directly from raw sensor streams, Agxio⋅TimeSeries forecasts trend trajectories ahead of threshold breaches, and Agxio⋅Cognition turns sensor and lab results into audit-ready, plain-language reporting for compliance and operations teams.
ESG framework & regulatory-conformance monitoring
Agxio built a full ESG framework and monitoring system engineered for regulatory conformance — structuring environmental, social and governance data into a single governed model, then continuously monitoring it to flag drift against reporting thresholds before a compliance deadline is missed. Agxio⋅Intelligence builds the underlying scoring and anomaly-detection models across structured and unstructured ESG data sources, Agxio⋅Cognition turns raw evidence into audit-ready regulatory narrative and disclosure text with full source traceability, and Agxio⋅TimeSeries tracks metric trajectories against regulatory targets over time.
Robotic environmental control for antimicrobial resistance management
Agxio monitors and optimises environmental conditions — temperature, humidity, airflow and hygiene-relevant variables — to robotically manage farm environments as part of antimicrobial resistance (AMR) management, reducing the conditions that drive infection pressure and antibiotic use rather than only treating outbreaks after the fact. Agxio⋅Intelligence models the relationship between environmental variables and infection risk, Agxio⋅TimeSeries forecasts when conditions are trending toward an AMR-risk threshold, and Agxio⋅Cognition closes the loop with defensible, audit-ready intervention records for vets and regulators.
We label every result by its actual status — historical demonstration, completed programme, pilot or evaluation, beta, product capability, or live deployment — and update labels as work progresses. We do not present a benchmark result as a production outcome, a beta as a finished product, or a pilot as a deployment.
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