Honeywell vs IBM

Cloud analytics application for process plants that centralizes data from control, asset and alarm systems, predicts process deviations and guides root-cause diagnosis, with a generative AI assistant answering natural-language questions about production KPIs.

A building maintenance application that analyzes equipment performance and helps service teams track corrective actions.

A building application that monitors energy use and carbon emissions and uses AI algorithms to optimize HVAC performance.

On-premise OT cybersecurity platform that correlates process alarms with cyber anomalies using AI/ML behavioural analytics, places OT decoys in the network, and runs AI-powered playbooks to isolate compromised devices and contain incidents.

An AI platform that connects and contextualizes data from a customer's industrial, building or life-sciences assets to help run more autonomous operations.

IBM Automation Document Processing combines AI and deep learning to classify documents and extract information.

Fraud intelligence layer that unifies fraud, AML, security and operational signals into one detection and investigation workflow, using AI-driven orchestration to correlate events, automate routine actions and learn from investigators.

Protects enterprise data across AI agents, applications and endpoints against agentic-AI, regulatory and post-quantum risks.

An iOS and iPadOS application for labeling images and starting AI training jobs.

Native iOS and iPadOS app that runs computer-vision (Core ML) models built in IBM Model Builder for Vision or Maximo Visual Inspection on an iPhone or iPad for handheld visual inspections, including offline and as guided inspection procedures.

Full-stack application and infrastructure observability powered by agentic AI, including automatic discovery/mapping of GenAI workflows and AI-driven Smart Alerts to reduce alert fatigue.

Cloud-based solution that uses AI for forecasting and usage prediction, with prescriptive analytics and optimization algorithms, to right-size maintenance, repair and operations (MRO) inventory levels.

A managed endpoint detection and response offering that combines AI automation, machine learning and human analysis for continuous threat detection and response.

AI-driven robotic process automation for building intelligent bots that automate business processes, with AI-embedded resilience built into the RPA runtime.

Visual data-science and machine-learning platform for building predictive models, with advanced algorithms, model deployment and open-source framework integration.

IBM Trusteer Pinpoint Assure assesses fraudulent intent and detects false or synthetic identities.

IBM Trusteer Pinpoint Detect provides real-time risk scoring and detects credential-theft malware.

Document intelligence platform using OCR, NLP enrichments (entity/sentiment/emotion/category extraction) and LLM integration to automate information discovery from enterprise documents.

AIOps platform that centralizes monitoring, management and automation across complex environments, using analytics and AI to detect, correlate and triage alerts into incidents and to recommend or run runbooks.

IBM Cognos Analytics provides business analytics and agentic AI with natural-language data exploration.

An agentic AI IT-operations platform that unifies observability, optimization and automated remediation across applications, infrastructure and networks.

AI gateway that governs, secures and observes how agents, models and tools interact with APIs and enterprise systems at runtime, sold as standalone software or as an add-on to webMethods Hybrid Integration SaaS or API Connect SaaS.

SaaS platform for building governed decision flows that combine business rules, predictive ML models and generative AI, with a Decision Assistant that generates decision models from policy text in natural language.

IBM Maximo Application Suite combines asset maintenance, inspections and reliability management with image and video analysis.

IBM Planning Analytics combines business planning with AI guidance and demand forecasting.

IBM Process Mining visualizes workflows and analyzes process data to identify inefficiencies.

IBM Turbonomic uses AI to optimize cloud resources and automate operational decisions and actions.

Studio for building, tuning and deploying model-based applications on IBM and third-party foundation models.

IBM watsonx.data integration automatically generates, validates and executes data pipeline plans.

A governance platform providing real-time visibility, policy enforcement and accountability tracking for AI models and agents across the AI lifecycle.