Ontology. Analytics. Intelligence.
DataAgentic.ai delivers ontology-driven data architecture, petabyte-scale analytics, and production-grade AI agents. We turn your enterprise data into AI+ agentic ready data intelligence capabilities.
Built on strategic investments and partnerships, DataAgentic.ai brings together machine learning, LLMs, knowledge graphs, ontology engineering, vector retrieval, and distributed data systems to power next-generation data intelligence. Powered by hundreds of AI agents, these capabilities are proven at petabyte scale and supports hundreds of millions of users.
Independently ranked by multiple internationally leading academic engineering and scientific experts.
300+ AI agents validated to run efficiently in petabyte-level data environments — live enterprise production, not lab conditions.
Proprietary multi-entity mass labelling handling hundreds of billions of data tags — industry-first storage and performance benchmarks.
Deployed across one of the world's largest national power grid networks — the single largest grid infrastructure on the planet by connected users and geographic scale.
AI agents are only as capable as the data infrastructure beneath them. DataAgentic.ai delivers the full stack — structured ontologies, AI-ready databases, knowledge graphs, and federated data pipelines — so your agents reason on clean, connected, enterprise-grade data.
AI-powered structured data platform that transforms raw ERP, CRM, SCM, and operational data into a unified enterprise ontology — a single, semantically consistent intelligence layer your AI agents can reason over. No more siloed systems. No more conflicting records. One source of truth, built for AI.
High-performance vector storage for embedding-based retrieval — powering semantic search, Agents pipelines, and similarity reasoning across enterprise knowledge bases at production scale.
Property graph databases that model complex entity relationships across your business — enabling agents to traverse organisational, operational, and supply chain relationships with native graph queries.
Intelligent ingestion and indexing of documents, reports, contracts, and communications — transforming unstructured enterprise content into queryable, agent-accessible knowledge.
Time-series and streaming data infrastructure for energy, manufacturing, and infrastructure telemetry — enabling real-time agent decision-making on live operational data at petabyte scale.
Structured migration from legacy and proprietary databases to modern, sovereign-approved platforms — zero business disruption, full data lineage preservation, and AI-ready schema design.
Privacy-preserving distributed AI training — models learn from data across multiple sites, subsidiaries, or jurisdictions without centralising sensitive information. AI intelligence without data exposure.
The Knowledge Retrieval & Grounding combines LLM reasoning with enterprise-verified retrieval — grounding every agent response in your actual data. Multi-modal (text, tables, diagrams), graph-augmented, and hallucination-resistant. The difference between an AI that guesses and one that knows.
An intelligent, adaptive data interaction capability that enables users to interact with and operate enterprise data and systems seamlessly. Through multimodal engagement—natural language and context-aware, use-case-driven experiences—it allows teams to interpret data, orchestrate workflows, and execute actions at petabyte scale in real time. Clarity and control, at scale.
AI-driven decision engine built for high-volume operational environments — establishing an intelligent layer that detects anomalies before they escalate and optimises decisions across complex, distributed data estates in real time.
Forecasting across complex, multi-variable business dynamics — multi-model fusion enabling large and small model collaboration across multiple time horizons for peak accuracy in high volume and velocity data environments.
Bulk enterprise content processor — full semantic extraction, anomaly identification, and event-response capability from massive volumes of unstructured text across documents, communications, and operational records at production scale.
Thought-graph-style data exploration that deeply mines the true causes behind business problems — replacing linear query approaches with holistic, relationship-aware investigation across petabyte-scale datasets.
Industry-first multi-entity mass label engine — delivering extreme storage and query performance across hundreds of billions of data tags, enabling proximity computing and rapid classification at unprecedented scale.
Four integrated capability areas spanning the full data lifecycle — from AI-ready storage and agentic data preparation, through intelligent analytics, to real-time operational AI that turns data signals into business action.
Unified AI data architecture with AI agents that continuously profile, catalogue, and classify data assets as they land — ensuring every dataset is governed, discoverable, and AI-ready from day one.
AI and Agentic based tools that clean, tag, label, and enrich data. Self-healing jobs detect schema drift and quality issues and resolve them — analysts and models always work with trustworthy data.
AI analytics agents that answer business questions in plain language, surface anomalies before you ask, and guide analysts through complex multi-dimensional investigations — no SQL, no waiting on a data team.
Closes the loop from data signal to business outcome. Agents operationalise data in real time — personalisation, live decisioning, automated workflow triggers — with configurable human-in-the-loop controls where it matters.
As your data services and capabilities partner, we offer a suite of tools — from AI-driven forecasting to enterprise knowledge foundations — built for production-scale environments.
AI-driven forecasting and analytics to support smarter enterprise decision-making across energy, supply chain, and operational planning.
Extracting actionable insight from large volumes of unstructured enterprise data — documents, reports, work orders, and communications.
AI-powered digital twin platform that mirrors your enterprise in real time — enabling scenario modelling, strategic simulation, and board-level decision intelligence without the risk of acting on incomplete information.
Data-powered monitoring and optimisation of enterprise assets — from equipment health to full lifecycle intelligent maintenance decisions.
Proactive outage-risk detection and restoration prioritisation for large utilities distribution networks — combining frequent-outage pattern analysis with AI-assisted operational decisioning.
Multi-model forecasting for distributed photovoltaic output with grid impact assessment — supporting safe renewable integration, hosting capacity planning, and regional consumption optimisation.
AI models for transformer defect prediction, reverse-overload sensing, and asset health scoring — enabling differentiated maintenance strategies before failure events occur.
Composite forecasting of grid material demand with warehouse-network balancing — improving procurement readiness, inventory structure, and field delivery resilience.
Open platform and API layer for AI-native communications intelligence — embed real-time detection of AI-generated threats, deepfakes, and adversarial content across voice, email, and digital channels directly into your own enterprise systems and workflows.
Purpose-built AI agent solutions for the industries that matter most — energy, financial services, public safety, government, manufacturing, telecommunications, healthcare, and retail & tourism.
A leading AI agent service provider for smart grid operations. AI fully embedded in grid planning, base construction safety, equipment maintenance, new energy monitoring, and supply-demand management.
Enterprise risk control unified intelligence for financial institutions — from market surveillance to internal compliance, customer-side risk prediction, and AI-powered quality inspection at scale.
End-to-end digital intelligence analytics for public safety and security applications — ranked #1 in independent evaluation. 30× human efficiency in multi-source intelligence processing.
AI-powered public administration and social services — from social security fraud detection to tax intelligence platforms and digital-government transformation at national scale.
Smart manufacturing operations powered by AI — predictive maintenance, production intelligence, supply chain optimisation, and low-carbon operations for industrial enterprises.
End-to-end AI for telecoms operators — quality inspection at full call volume, network fault prediction, customer churn reduction, and real-time fraud detection across millions of daily interactions.
AI-driven intelligence for healthcare providers, insurers, and life sciences firms — from predictive diagnostics and outcomes modelling to claims fraud detection and R&D data platforms.
AI-powered intelligence for retail and hospitality operations — predictive restocking, hyper-personalised customer experiences, demand forecasting, and autonomous supply chain optimisation.
Production-verified outcomes across energy, financial services, telecommunications, manufacturing, government, healthcare, retail, and tourism — at the largest enterprise scale.
Proactive defect management using multi-model fusion (SVR, XGBoost, FP-Growth) — shifting from reactive maintenance to predictive, precision fault prevention.
AI-generated power supply scheme for new connections — embedding AI directly into the customer connection workflow via Agents knowledge foundation and chain-of-thought agents.
Proactive outage detection and prevention — shifting from "passive complaint handling" to active response. XGBoost-powered frequent outage prediction with impact assessment.
AI-powered personalised product recommendations and optimised marketing scripts for contact centre agents — transforming the cost centre into a profit centre.
Upgraded 8 core risk monitoring systems for a major securities exchange — unified risk platform across margin financing, stock pledge, bond risk, and market operations monitoring.
Dual-use AI platform: social insurance fraud detection using cluster card-use behaviour analysis, and AI-powered hotline quality inspection replacing manual sampling with full-coverage automated review.
Full digital operations capability for an industrial manufacturer — integrating ERP, MES, and production planning data into a unified AI intelligence layer with smart dashboards, anomaly detection, and mobile push.
Multi-source intelligence fusion, automated file generation, hidden relationship inference, and simulation prediction — ranked #1 in independent evaluation and validated as the industry benchmark.
Integrating CRM, ERP, and clinical data streams into a unified AI operations layer — delivering therapeutic value quantification, pay-for-outcomes model intelligence, and predictive patient analytics to improve care delivery and reduce operational costs.
Unifying point-of-sale, ERP, and supply chain data into a single AI intelligence layer that autonomously manages restocking, surfaces hyper-personalised recommendations, and optimises supplier evaluation in real time across retail operations.
Fusing booking, channel, and operational data to deliver autonomous demand forecasting, yield management, and guest experience personalisation — enabling hospitality operators to dynamically align capacity and pricing to real-time market signals.
End-to-end digital transformation for financial services, government, and critical infrastructure — combining AI analytics, smart IoT sensor networks, cybersecurity hardening, and cloud managed services into a full-stack enterprise intelligence and operational resilience platform.
Accelerating enterprise cloud-native transformation through DevOps and DevSecOps practice-building, platform engineering, and 24/7 SRE-managed operations — with zero-trust security and operational resilience embedded from the ground up for banking and financial services infrastructure.
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