Trusted by Industry Leaders
GraphOne transforms relational data into graph-based AI models that predict outcomes, explain their reasoning, and deploy in your own environment.
Most organisations have data, but lack early, actionable insight.
Traditional reporting tells you what happened — not what is about to change. Decisions are made after outcomes are already visible.
Most analytics treats data like spreadsheets — isolated metrics that miss the knock-on effects between customers, invoices, suppliers, and staff.
Consulting and bespoke data science solutions are slow, expensive, and difficult to operationalise repeatedly at scale.
The result? Late visibility into risk, churn, and operational breakdowns — leading to preventable revenue loss and reactive decision-making.
From reactive to predictive. Using the data you already have.
GraphOne transforms relational databases into relationship-aware intelligence that predicts outcomes and explains why.
GraphOne surfaces hidden patterns across industries — here's what organisations are solving today.
Identify which customers are about to leave — and the relationship signals that explain why. Graph patterns reveal churn risk that flat analytics miss entirely.
Retail · SaaS · Telecoms
Discover fraud rings by mapping transaction relationships. Graph Neural Networks detect collusion patterns invisible to rule-based systems.
Finance · Insurance · Payments
Predict supplier failures before they cascade. Map dependencies across your supply network to identify single points of failure and delivery risks.
Manufacturing · Logistics · Procurement
Identify flight-risk employees by modelling organisational graph patterns — team dynamics, reporting chains, and engagement signals that predict departures.
HR · People Operations · Enterprise
Five steps. From database to predictions — no code, no PhD, no AI team required.
Securely attach to your existing databases with read-only connectors. Define joins across multiple tables and data sources visually — your data never leaves your environment.
GraphOne automatically scans your schema, assesses data quality, and identifies graph potential. It auto-detects the right ML task and recommends features with quality scores.
Relational tables are transformed into a knowledge graph that captures how customers, products, invoices, and events are interconnected — no manual feature engineering.
One click launches Graph Neural Network training with automated hyperparameter optimisation and real-time progress tracking. Models learn from relationship structure, not just columns.
Deploy for single, batch, or scheduled inference on live data. Every prediction comes with explainable reasoning — which relationships, patterns, and signals drove the outcome.
Your reporting tells you what happened. GraphOne tells you what's about to change — by modelling how customers, invoices, suppliers, and events interact and evolve over time.
The result: early signals of churn, risk, and operational breakdown surface before they appear in any dashboard — with the reasoning behind every prediction.
GraphOne turns your documents and databases into a knowledge graph you can query in plain English — with source attribution for every answer.
Upload documents, connect databases, and GraphOne automatically builds a knowledge graph — extracting entities, relationships, and context.
Then simply ask questions in natural language. Every answer traces back through the graph with full source attribution, so you know exactly where insights come from.
From automated database analysis to explainable predictions — discover how GraphOne transforms your data into actionable intelligence.
GraphOne automatically discovers and analyzes your database structure, identifying relationships, patterns, and opportunities without manual configuration. Connect to your existing databases and watch as it maps the hidden connections between your tables.
No manual feature engineering required. The platform understands your schema, detects relationships, and prepares your data for graph-based learning — all automatically, so your team can focus on insights, not infrastructure.
Watch your relational database transform into an interactive graph network. GraphOne visualizes the connections between entities, making it easy to understand how your data relates and why certain predictions emerge.
Transparency through visualization. See exactly which relationships influence predictions, explore the graph structure of your data, and understand the "why" behind every insight — turning complex AI into something your entire team can trust and act upon.
GraphOne translates ML predictions into business language — risk categories, confidence scores, and actionable recommendations.
Top driver: Customers with declining order frequency connected to suppliers with delayed deliveries are 4.2x more likely to churn within 60 days.
Export to Tableau, Power BI, Looker — or access via API for custom workflows.
Move beyond rows and columns. Uncover hidden relationships in your data to build models that see the full picture.
Empower your existing data team to build world-class Graph Neural Network models, no niche expertise required.
Get answers in plain English. GraphOne explains why it makes predictions, turning complex AI decisions into understandable business insights.
Set it and forget it. Automates the entire AI lifecycle with continuously improving predictions without constant manual oversight.
Simply point to your data and tell GraphOne what you want to predict. It automatically handles building, training, and tuning the best model.
Platform-agnostic integration with data sources like Snowflake and Databricks, and MLOps tools you already use.
Native connectors for major databases and file formats. Read-only access — your data never leaves your environment.
Domain-specific ontology templates accelerate time-to-value — start with proven entity and relationship models for your sector.
Transaction networks, counterparty relationships, risk exposure mapping, and regulatory compliance patterns.
Patient pathways, treatment relationships, provider networks, and clinical outcome prediction models.
Organisational graphs, team dynamics, performance networks, and attrition prediction frameworks.
Three approaches to defining the entities and relationships that shape your knowledge graph — from expert-curated standards to fully AI-discovered schemas.
Pre-built, expert-curated entity and relationship models from industry standards like FIBO, HL7 FHIR, and Schema.org. Instant structure, zero guesswork.
Example — Finance (FIBO)
AI reads your documents and automatically discovers entities, relationships, and properties. Perfect for novel domains or proprietary data with no existing standard.
Example — Legal Contracts
Start with a proven domain template, then let AI extend it with entities unique to your data. Standardisation where it matters, flexibility where you need it.
Example — E-commerce + AI Extensions
Built differently to solve problems that traditional analytics can't.
GraphOne is deployed directly into your own cloud or on-premise environment. We do not ingest, store, or retain your data.
GraphOne augments your existing data and reporting platforms — it does not replace them. No rip-and-replace required.
GraphOne can be deployed quickly inside your environment to demonstrate value using real data. Initial signals and insights are surfaced within days.
GraphOne deploys inside your infrastructure. Your data never leaves your environment — period.
Deployed via Docker in your own cloud or on-premise infrastructure
Read-only connectors. No data is transmitted, stored, or retained externally
Granular permissions with organisation and division scoping
No new regulatory exposure. Existing security and compliance policies remain intact
Deploy advanced AI without hiring specialists. Your current data team can build world-class Graph Neural Network models.
Transform disconnected data sources into a single, relational understanding of your entire business.
Every prediction shows its reasoning. Turn complex AI decisions into understandable business insights.
Begin with one database and scale to your entire organisation. Real transformation is incremental and pragmatic.