Full-Time
Updated on 8/20/2026
Industrial data platform with AI
No salary listed
Austin, TX, USA
In Person
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Cognite provides cloud-based data and AI platforms for industrial companies to digitize and optimize operations. Its flagship Cognite Data Fusion unifies data from OT, IT, and engineering systems to give a real-time, contextual view of assets by linking sensors, maintenance logs, and 3D models. Cognite Atlas AI is a low-code platform that lets engineers build AI agents for predictive maintenance, anomaly detection, and production optimization without heavy coding. The company focuses on asset-heavy industries and aims to accelerate industrial digitalization by turning data into measurable value, improving safety, reliability, and efficiency.
Company Size
501-1,000
Company Stage
Acquired
Total Funding
$225.3M
Headquarters
Tempe, Arizona
Founded
2016
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Competitive Compensation + 401(k) with employer matching
Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
Unlimited PTO + flexibility to enjoy it
Paid Parental Leave Program
Learning & Development Stipends
Global Mobility & Exchange Program
Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices
Cognite corporate headquarters honored by AZRE. July 30, 2026 PTK win number two! Managed by PDO Principal Sophia Humphrey and Senior Design Project Manager Avalyn Zizzo, its Cognite corporate headquarters tenant improvement has been recognized as an AZ Big Media Project to Know - Office Interiors category. Supporting Cognite's HQ relocation from Norway to the U.S., this space holds a special place in the PDO portfolio. Phoenix Design One, Inc. is honored for the recognition and grateful for its trusted project partners: Stevens-Leinweber Construction, Keyser Commercial, Transact, Illumination Systems and FORTÉ.
Schneider Electric to acquire Cognite in USD 3.1 billion industrial AI deal. Schneider Electric agrees to acquire industrial AI software provider Cognite in an all-cash deal, strengthening its AVEVA unit's position in industrial intelligence. Schneider Electric has entered into a definitive agreement to acquire 100 percent of Cognite, a provider of industrial data and AI software, in an all-cash transaction valued at USD 3.1 billion, the energy management and automation group announced on 30 June. Cognite, founded in 2017, employs more than 800 people across the Americas, Europe, the Middle East and Asia-Pacific. Its cloud-native platform combines a unified industrial data model with agentic AI capabilities, allowing customers to operationalise AI within plant operations, asset management and engineering workflows. In 2025, the company's annual revenue exceeded USD 170 million, with annual recurring revenue bookings growing 36 percent. Advertisments Once completed, Cognite will be integrated with AVEVA, Schneider Electric's wholly owned industrial software company, and consolidated within Schneider Electric's Industrial Automation business. The deal extends AVEVA's CONNECT platform with enterprise-wide data contextualisation capabilities and agentic AI tools, according to the companies. Schneider Electric Chief Executive Officer Olivier Blum said Cognite had built "a truly industrial grade AI platform that turns the complexity of operational data into a competitive advantage." The transaction is subject to customary closing conditions, including regulatory approvals, and is expected to close in the coming quarters. Both Schneider Electric and AVEVA maintain established operations in Singapore and across Southeast Asia, where industrial AI adoption is accelerating alongside regional smart manufacturing and Industry 4.0 initiatives. The acquisition is likely to have downstream implications for their SEA customer base as Cognite's data and AI capabilities are folded into AVEVA's regional offering.
Cognite launches integrated supply chain offering. Cognite has announced the launch of its Integrated Supply Chain offering. This new solution area extends the Cognite AI and Data Platform beyond the plant, equipping industrial teams with real-time visibility, insights, and cross-functional context to bridge the long-standing data gap between production and supply chain operations. Unifying these siloed teams empowers organisations to respond faster and smarter to internal or external disruptions, execute adaptive pivots, and better protect margins. The divide between production and supply chain operations has increased over time, as competing KPIs, organizational initiatives, and specialized software further fragment decision-making processes. As a result, any operational disruption can force costly, reactive firefighting, supply chain penalties, and production stalls, where slow decision-making can cost up to 5% of top-line revenue or over $50M annually for a $1B organization[1]. "Right now, manufacturers are trying to drive operational resilience and protect margin however they can. There's a huge opportunity to drive efficiency by strengthening real-time, context-rich insights and communication between the carpeted and uncarpeted floors." said Girish Rishi, CEO of Cognite. "Integrated Supply Chain is a natural extension of the Cognite AI and Data Platform that fills the critical data gap between traditional manufacturing systems and pure-play supply chain vendors. We are unlocking value with an integrated 'Source - Make - Deliver' framework that empowers industrial heroes to take action before money burns." Cognite's new Integrated Supply Chain offering bridges these information gaps. By unifying data from both inside and outside the facility into a real-time industrial knowledge graph, Cognite equips teams across procurement, distribution, and plant operations with AI-driven insights into supply chain and production dynamics. Instead of discovering a shortage or a non-conformity at the end of a production run, for example, these teams finally have the right data at the right time to spot the issue early and collaborate on the solution. Key platform capabilities include: * Productised connectors: efficiently consolidates and contextualises disparate planning systems, ERPs, execution solutions (WMS, TMS), external data insights, and cloud data lakes without disrupting core operations. * Extended semantic data models: packaged and supported for supply chain, models seamlessly integrate directly with production and maintenance-centric data models. * Packaged AI agents and workflows: grounded in operational context to evaluate live constraints across production, supply chain, logistics, and fulfilment, new capabilities put data and insights instantly at operator fingertips, can, in many cases, reduce root-cause analysis timelines from weeks to minutes, and allow for robust deployment of agentic-based adaptive planning. "Cognite's deep roots in complex data sets, rich data modelling capabilities, and agentic industrial AI make them well-suited to address the current gap between production and supply chain operations that many manufacturers face," said Simon Ellis, Group Vice President, IDC. "Bridging this gap demands a semantically rich, real-time operational layer capable of supporting both AI agents and AI-native applications that can leverage workforce expertise and trusted context. With this unique approach, industrial organisations can work toward an optimised balance between Overall Equipment Effectiveness (OEE) and on-time, in-full (OTIF) that maximises operational returns while delivering faster, more resilient outcomes for customers." To accelerate adoption of the new Integrated Supply Chain offering, Cognite is collaborating with Deloitte and FourKites. "Industrial enterprises have long struggled with the latency between factory floor realities and supply chain execution," said Paul Delesalle, EMEA Supply Chain & Network Operations Practice Leader at Deloitte. "We are seeing a clear industry trend: organisations that break down silos between production and supply chain operations unlock significant competitive advantages. Real-time visibility into integrated supply chain and production dynamics enables better decision-making across plan-source-make-deliver. This unified approach drives operational resilience, reduces costs, and creates a more agile, responsive enterprise. The organisations leading in this space are fundamentally transforming how they compete." "A delay in transit is never just a logistics problem. It ripples into production lines, inventory positions, and customer commitments. By connecting FourKites with Cognite's industrial AI and data platform, our customers can finally see that full chain of impact in real time and act on it before it costs them time or margins. This is how supply chains move from reacting to disruption to staying ahead of it," added Mathew Elenjickal, CEO of FourKites. A podcast series for professionals in the downstream industry featuring short, insightful interviews. Subscribe on your favourite podcast app to start listening today. Embed article link: (copy the HTML code below):
Cognite launches novel Integrated Supply Chain offering to deliver unprecedented Business value with AI. Business Wire India Cognite, a global leader in Industrial AI, today announced the launch of its Integrated Supply Chain offering. This new solution area extends the Cognite AI and Data Platform beyond the plant, equipping industrial teams with real-time visibility, insights, and cross-functional context to finally bridge the long-standing data gap between production and supply chain operations. Unifying these siloed teams empowers organizations to respond faster and smarter to internal or external disruptions, execute adaptive pivots, and better protect margins. The divide between production and supply chain operations has increased over time, as competing KPIs, organizational initiatives, and specialized software further fragment decision-making processes. As a result, any operational disruption can force costly, reactive firefighting; supply chain penalties; and production stalls, where slow decision making can cost up to 5% of top-line revenue or over $50M annually for a $1B organization[1]. "Right now, manufacturers are trying to drive operational resilience and protect margins however they can. There's a huge opportunity to drive efficiency by strengthening real-time, context-rich insights and communication between the carpeted and uncarpeted floors," said Girish Rishi, CEO of Cognite. "Integrated Supply Chain is a natural extension of the Cognite AI and Data Platform that fills the critical data gap between traditional manufacturing systems and pure-play supply chain vendors. We are unlocking value with an integrated 'Source - Make - Deliver' framework that empowers industrial heroes to take action before money burns." Cognite's new Integrated Supply Chain offering bridges these information gaps. By unifying data from both inside and outside the facility into a real-time industrial knowledge graph, Cognite equips teams across procurement, distribution, and plant operations with AI-driven insights into supply chain and production dynamics. Instead of discovering a shortage or a non-conformity at the end of a production run, for example, these teams finally have the right data at the right time to spot the issue early and collaborate on the solution. Key platform capabilities include: * Productized Connectors: Efficiently consolidates and contextualizes disparate planning systems, ERPs, execution solutions (WMS, TMS), external data insights, and cloud data lakes without disrupting core operations. * Extended Semantic Data Models: Packaged and supported for supply chain, models seamlessly integrate directly with production and maintenance-centric data models. * Packaged AI Agents and Workflows: Grounded in operational context to evaluate live constraints across production, supply chain, logistics, and fulfillment, new capabilities put data and insights instantly at operator fingertips and can, in many cases, reduce root-cause analysis timelines from weeks to minutes and allow for robust deployment of agentic-based adaptive planning. "Cognite's deep roots in complex data sets, rich data modeling capabilities, and agentic industrial AI make them well-suited to address the current gap between production and supply chain operations that many manufacturers face," said Simon Ellis, Group Vice President, IDC. "Bridging this gap demands a semantically rich, real-time operational layer capable of supporting both AI agents and AI-native applications that can leverage workforce expertise and trusted context. With this unique approach, industrial organizations can work toward an optimized balance between Overall Equipment Effectiveness (OEE) and on-time, in-full (OTIF) that maximizes operational returns while delivering faster, more resilient outcomes for customers." To accelerate adoption of the new Integrated Supply Chain offering, Cognite is collaborating with Deloitte and FourKites. "Industrial enterprises have long struggled with the latency between factory floor realities and supply chain execution," said Paul Delesalle, EMEA Supply Chain & Network Operations Practice Leader at Deloitte. "We are seeing a clear industry trend: organizations that break down silos between production and supply chain operations unlock significant competitive advantages. Real-time visibility into integrated supply chain and production dynamics enables better decision making across plan-source-make-deliver. This unified approach drives operational resilience, reduces costs, and creates a more agile, responsive enterprise. The organizations leading in this space are fundamentally transforming how they compete." "A delay in transit is never just a logistics problem. It ripples into production lines, inventory positions, and customer commitments. By connecting FourKites with Cognite's industrial AI and data platform, our customers can finally see that full chain of impact in real time and act on it before it costs them time or margins. This is how supply chains move from reacting to disruption to staying ahead of it," said Mathew Elenjickal, CEO of FourKites. About Cognite Cognite makes AI work for industrial companies. Leading energy, manufacturing, and power and renewables enterprises choose Cognite to deliver secure, trustworthy, and real-time data to transform their asset-heavy operations to be safer, more sustainable, and profitable. Cognite provides a user-friendly, secure, and scalable industrial AI & platform that makes it easy for all decision makers, from the field to remote operations centers, to access and understand complex industrial data, collaborate in real time, and build a better tomorrow. Visit USA Newshour at www.cognite.com, and follow USA Newshour on LinkedIn. [1] "The 2026 Supply Chain Resilience & AI Adoption Study" (also released under the title 2026 Retail Resilience & AI Adoption Study) here: https://briefglance.com/articles/retails-latency-tax-slow-decisions-costing-industry-billions View source version on businesswire.com: https://www.businesswire.com/news/home/20260616124813/en/ Disclaimer: The above press release comes to you under an arrangement with Business Wire India. Publication takes no editorial responsibility for the same. Business Wire India, established in 2002, India's premier media distribution company ensures guaranteed media coverage through its network of 30+ cities and top news agencies.
Cognite, a global industrial AI leader, has launched its Integrated Supply Chain offering to bridge the data gap between production and supply chain operations. The solution extends the Cognite AI and Data Platform beyond manufacturing plants, providing real-time visibility and cross-functional insights to help organisations respond to disruptions faster. The platform addresses fragmentation caused by siloed teams and competing KPIs, which can cost companies up to 5% of top-line revenue annually. Key capabilities include productised connectors, extended semantic data models, and AI agents that reduce root-cause analysis timelines from weeks to minutes. Cognite is collaborating with Deloitte and FourKites to accelerate adoption. The solution unifies data from planning systems, ERPs and execution solutions into a real-time industrial knowledge graph, enabling teams to identify issues early.