List of Aperture.ai Customers
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Since 2010, our global team of researchers has been studying Aperture.ai customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Aperture.ai for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Aperture.ai for Analytics and BI include: Corning, a United States based Professional Services organisation with 51000 employees and revenues of $13.60 billion, Arkema, a France based Manufacturing organisation with 21150 employees and revenues of $10.92 billion, DSM - Bright Science. Brighter Living, a Netherlands based Life Sciences organisation with 19263 employees and revenues of $10.12 billion and many others.
Contact us if you need a completed and verified list of companies using Aperture.ai, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Aperture.ai customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Arkema | Manufacturing | 21150 | $10.9B | France | Aperture.ai | Aperture.ai | Analytics and BI | 2022 | n/a |
In 2022, Arkema engaged Aperture.ai as a Technology Scouting application to support chemical industry innovation and partner identification in France. Arkema implemented Aperture.ai to surface unmet needs and to accelerate strategic R&D decisions within its French operations.
The deployment emphasized opportunity identification and partner and technology scouting capabilities, aligning with Aperture.ai use cases for discovery and external innovation screening. Aperture.ai was configured to index sector signals and to enable semantic matching and prioritization workflows typical of Technology Scouting solutions, supporting R&D intake and hypothesis generation.
Operational coverage concentrated on R&D and corporate strategy teams in France, where the platform informed partner identification and early-stage opportunity pipelines. Integrations with enterprise systems were not specified, the implementation focused on embedding Aperture.ai outputs into existing R&D decision points and scouting review cycles.
Governance centered on R&D-led intake and evaluation processes, with adoption structured to provide curated scouting dossiers to decision makers and to standardize partner evaluation. The engagement positioned Arkema, Aperture.ai, Technology Scouting, to improve the pace of strategic R&D decision making and to make unmet needs more discoverable for internal innovators.
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Corning | Professional Services | 51000 | $13.6B | United States | Aperture.ai | Aperture.ai | Analytics and BI | 2022 | n/a |
In 2022 Corning engaged Aperture.ai in the United States to support innovation and market development, with the engagement explicitly focused on surfacing unmet customer needs and accelerating R&D prioritization. Aperture.ai "" serves as the application in this implementation and Aperture.ai is positioned to provide opportunity discovery and market intelligence capabilities aligned with the engagement brief.
The implementation used Aperture.ai functionality inferred as opportunity discovery and market intelligence to capture customer signals, surface prioritized market opportunities, and feed inputs into R&D prioritization workflows. Aperture.ai was configured to enable iterative insight capture and cataloging, supporting repeatable discovery workflows and structured handoffs into Corning research and market development planning.
Operational coverage centered on Corning market development and R&D teams in the United States, with Aperture.ai integrated into product ideation and go to market planning cycles. Governance emphasized structured intake and prioritization processes to convert surfaced opportunities into R&D backlog items, and Corning reported improved near term market development and longer term innovation throughput as outcomes of the engagement.
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DSM - Bright Science. Brighter Living | Life Sciences | 19263 | $10.1B | Netherlands | Aperture.ai | Aperture.ai | Analytics and BI | 2022 | n/a |
In 2022, DSM - Bright Science. Brighter Living implemented Aperture.ai for Market opportunity discovery / technology scouting to inform innovation and new product development across the Netherlands and the broader EMEA region. Aperture.ai was deployed to surface relevant market problems and to identify potential technology partners for pursuit, reflecting platform usage focused on market opportunity discovery and technology scouting.
The implementation emphasized Aperture.ai's market opportunity discovery and technology scouting capabilities, configured to support discovery workflows, problem framing, and systematic partner identification. Functional use included signal aggregation from external market sources, opportunity triangulation to prioritize problem areas, and partner profiling workflows consistent with technology scouting practices enabled by Aperture.ai.
Operational scope covered innovation and new product development teams in the Netherlands and EMEA, with outputs from Aperture.ai feeding into existing scouting and NPD decision processes. Governance centered on recurring scouting reviews and cross-functional prioritization to convert identified market problems and potential partners into pursue or screen decisions. The implementation produced structured intelligence on market problems and candidate partners that informed DSM decision making on where to focus R&D and external collaboration efforts.
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