Embed generative AI, ML auto-insights, and conversational reporting into every decision — transforming raw data into intelligent action at enterprise scale.
The era of static dashboards is over. Modern AI analytics embeds machine learning, generative AI, and agentic reasoning across the entire analytics workflow — from data ingestion to narrative reporting — so every user, technical or not, can drive outcomes rather than just read charts.
From clickers to coders — generative AI, ML auto-insights, and agentic reporting tailored to every skill level in your organisation.
A generative AI-powered chat interface that lets analysts create, modify, and explore analytics workbooks through plain-language commands — no SQL or tool expertise required.
Machine learning scans your datasets automatically, surfaces undiscovered patterns, and generates visual insights with fully transparent, editable calculations — eliminating blank-canvas syndrome.
Domain-aware AI Agents blend structured enterprise data with uploaded documents using Retrieval-Augmented Generation, explaining not just what happened — but why.
Embed advanced forecasting models — including Seasonal ARIMA — directly on charts and dashboards. AI-generated financial narratives, variance explanations, and trend commentary automate management reporting.
Bring your own large language model subscription (OpenAI and others) to enrich queries with external world knowledge beyond your internal datasets — unlocking richer, context-aware filtering.
Deliver analytics directly inside business applications and workflows. Responsive canvas design, real-time visualisations, and scheduled workbook emails keep every stakeholder informed.
Built on Oracle Cloud Infrastructure, our platform leverages OCI AI Services, AutoML, semantic modelling, and LLM orchestration — purpose-engineered for production-scale enterprise analytics.
Everything you need to know about deploying AI analytics and automated reporting in your enterprise environment.
AI-powered analytics uses machine learning and generative AI to automate data exploration, surface insights, generate forecasts, and create narrative reports — dramatically reducing the manual effort traditionally required of analysts.
The AI Assistant translates natural language into analytical actions — creating visualisations, modifying workbooks, and generating dashboards from a simple prompt. Users with no SQL knowledge can produce production-grade analytics in seconds.
Retrieval-Augmented Generation (RAG) allows AI Agents to blend your enterprise datasets with uploaded documents like policies and reports, providing context-aware insights that explain business trends in relation to actual organisational knowledge.
Yes. The BYO-LLM capability allows you to connect an external LLM subscription to enrich queries with world knowledge beyond your internal data — enabling highly complex, multi-attribute analytical questions.
Absolutely. Built-in PII identification and masking, fine-grained role-based permissions, data encryption, and audit-ready governance ensure enterprise compliance across all analytics operations.
AI models apply prescriptive analytics to historical and real-time financial data, generating daily, weekly, or monthly cash forecasts with automated variance commentary and trend narratives for management reporting.
Unlock AI-powered insights, automated reporting, and intelligent forecasting — tailored to your enterprise data and goals.
Tell us about your data challenges and we'll map out the right AI analytics solution for your organisation.