Solutions

Enterprise Architecture

AgenticNex AI provides enterprise and solution architecture for organisations building data and AI platforms.

Enterprise AI

Enterprise AI at AgenticNex AI means engineering AI systems that run inside your operations: connected to your data, governed, monitored and owned by your teams.

Data Engineering

AgenticNex AI designs and builds batch and streaming data platforms that make enterprise and operational data usable for analytics and AI.

AI & Machine Learning

AgenticNex AI builds machine learning systems for prediction, anomaly detection, computer vision and optimisation, engineered for production rather than demonstration.

Generative AI

AgenticNex AI engineers enterprise Generative AI: retrieval-augmented assistants, document intelligence and AI agents that answer from your own documents and systems with citations.

Private LLM

A private LLM is a large language model that runs on infrastructure you control, so prompts, documents and outputs never leave your environment.

Knowledge Graphs

A knowledge graph connects assets, locations, events, sensors, models, procedures and outcomes as explicit relationships.

Federated Learning

Federated learning trains a shared model across many sites while raw data stays at each site.

Real-Time Analytics

AgenticNex AI builds real-time analytics platforms that process sensor and event streams in milliseconds to seconds, running feature engineering, rules and ML inference on the stream.

Digital Twin

A digital twin is a live, queryable model of a physical asset that combines its geometry, configuration, sensor data and history.

Predictive Maintenance

AI-based predictive maintenance estimates the probability and timing of equipment failure from sensor data, operating conditions and maintenance history, so work is planned before a breakdown.

Cloud / DevOps / MLOps

AgenticNex AI engineers the cloud and operations layer that keeps data and AI systems reliable: infrastructure as code, CI/CD, Kubernetes, observability, MLOps for model training and deployment, and LLMOps for evaluation and monitoring of language-model applications.

Oil & gas drilling solutions

AI for Drilling Operations

AI for drilling operations combines real-time rig sensor data, physics models and machine learning to detect hazards such as kicks, lost circulation and stuck pipe early, and to advise drillers with evidence.

Kick Detection

AI-based kick detection estimates, in real time, the probability that formation fluid is entering the wellbore, using flow-in/flow-out, pit volume, standpipe pressure, hook load and rate of penetration together.

Stuck-Pipe Prediction

Stuck-pipe prediction uses torque, drag, hook load, standpipe pressure and hole-cleaning indicators to estimate the rising risk that the drill string will become stuck, giving the crew time to act.

Drilling Knowledge Graph

A drilling knowledge graph links countries, basins, formations, wells, events, sensors, models, risks, advisories, procedures and outcomes.

Federated Learning for Oil & Gas

Federated learning for oil & gas trains drilling models across rigs, operators and countries without moving well data.

Engagement models

Enterprise AI Product Development

AgenticNex AI designs, builds and ships enterprise-grade AI products end to end: architecture, agentic workflows, data pipelines, user interfaces, security and production operations.

Co-Build Product Partnerships

AgenticNex AI partners with enterprises, system integrators and ISVs to build AI products they own and sell under their own brand.

AI Strategy & Use-Case Discovery

An AgenticNex AI use-case discovery engagement identifies the 3–5 AI use cases that will actually pay back, then reviews your ERP, maintenance, sensor and document sources to confirm data readiness.

Managed AI Operations

AgenticNex AI runs, monitors and improves AI systems after go-live, covering model and prompt tuning, content and knowledge updates, usage analytics, incident response, and change management and training for users.

Our platforms

BIM 7D Digital Twin Platform

The BIM 7D Digital Twin Platform fuses Building Information Modelling with real-time IoT and operational data, AI/ML and 3D–7D asset information to create one queryable model of physical infrastructure.

Federated Knowledge Fabric

The Federated Knowledge Fabric is an AI-native distributed knowledge platform for organisations whose data cannot be centralised because of security, regulation or data sovereignty.

Interview as a Service

AgenticNex Interview as a Service uses AI agents to run structured, role-specific technical interviews at scale, with consistent rubric scoring, evidence-linked transcripts and defensible shortlists.