List of Deepomatic Customers
Since 2010, our global team of researchers has been studying Deepomatic 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 Deepomatic for Computer Vision 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 Deepomatic for Computer Vision include: Swisscom, a Switzerland based Communications organisation with 19887 employees and revenues of $13.74 billion, Bouygues Telecom, a France based Communications organisation with 10500 employees and revenues of $8.47 billion, CityFibre, a United Kingdom based Communications organisation with 700 employees and revenues of $80.0 million and many others.
Contact us if you need a completed and verified list of companies using Deepomatic, 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 Deepomatic 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 | Insight Source |
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Bouygues Telecom | Communications | 10500 | $8.5B | France | Deepomatic | Deepomatic | Computer Vision | 2017 | n/a | In 2017 Bouygues Telecom deployed Deepomatic for Computer Vision to provide real time quality control of FTTH fiber connections from smartphone photos. The implementation targeted field technicians across France and was embedded directly into network build and field operations workflows to validate splicing and termination quality at the point of work. Deepomatic was configured to support image capture workflows on technician smartphones, automated anomaly detection of fiber connections, and instant corrective guidance presented to field crews. The solution centralized visual inspection logic in a computer vision inference layer while preserving a mobile capture experience for technicians, aligning functional capabilities with quality assurance, inspection, and corrective action processes. Operational scope included network build and field operations where the deployment scaled to handle hundreds of thousands of work orders per month. The implementation affected field operations, quality assurance, and network provisioning teams, consolidating inspection at the point of installation and reducing the need for follow up field visits. Governance focused on embedding the Deepomatic workflow into technician procedures and work order execution, with rollout oriented around live field validation at scale. The deployment reported approximately 98% of defects detected in real time, improving first time right rates and reducing rework for Bouygues Telecom. | |
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CityFibre | Communications | 700 | $80M | United Kingdom | Deepomatic | Deepomatic | Computer Vision | 2022 | n/a | In 2022, CityFibre partnered with Deepomatic to deploy visual automation across its full-fibre build and maintenance operations. The Deepomatic implementation leverages Computer Vision to validate on-site work and to generate searchable photo documentation for network records. The deployment focused on image recognition driven inspection workflows, enabling capture, automated tagging, and validation of installation and repair tasks. Deepomatic was configured to support field inspection checklists and automated decisioning to flag incomplete or nonconforming work, aligning with standard field quality control and inspection processes. The rollout was nationwide with a region-by-region deployment model across network construction and field operations, embedding photographic evidence into network asset records. Operational coverage included build crews and maintenance engineers, with photo archives made machine-searchable to support record retrieval and auditability. Governance and process changes accompanied the technical deployment, incorporating Deepomatic validation into engineer handover and quality assurance workflows to reduce repeat site visits. Reported outcomes from the deployment included improved Right First Time performance and fewer repeat engineer visits, while creating centralized, searchable photo documentation for CityFibre network records. | |
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Swisscom | Communications | 19887 | $13.7B | Switzerland | Deepomatic | Deepomatic | Computer Vision | 2020 | n/a | In 2020 Swisscom implemented Deepomatic to apply Computer Vision across its fiber rollout in Switzerland, using the Deepomatic application to automate quality assurance and validate technician photos in real time for network construction and field operations. The deployment positioned Deepomatic Computer Vision as a front line validation layer for technician-generated imagery, enforcing photo completeness and real time conformity to acceptance criteria before downstream processing. The implementation focused on image capture validation, automated QA workflows, and proof-based evidence generation for contractor deliverables. Configuration emphasized automated image recognition rules, real time feedback to field technicians during capture, and structured photo documentation tied to individual work orders, enabling standardized inspection and acceptance processes. Deepomatic was embedded into Swisscom field operations and contractor workflows to support proof based contractor payments and operational handoffs, with the solution used across the companys network construction teams in Switzerland. Integrations centered on feeding validated photo evidence into payment authorization and contractor verification processes, and on delivering structured media and metadata to operational teams responsible for acceptance and record keeping. Governance and rollout were scoped to network construction and field operations, with process changes that shifted QA enforcement to automated, photo driven validation at the point of capture. The project increased QA capacity approximately 3x, achieved around 95 percent first time right rates, and delivered complete photo documentation for operations, enabling proof based contractor payments and more consistent acceptance workflows. |
Buyer Intent: Companies Evaluating Deepomatic
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