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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Pix4Dsurvey Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
City of Atlantic City Government 1000 $180M United States Pix4D SA Pix4Dsurvey Geographic Information System 2020 n/a In 2020 City of Atlantic City implemented Pix4Dsurvey to support surveying and mapping at Bader Field. The Atlantic City Fire Department deployed a drone workflow using PIX4Dcapture, PIX4Dcloud and Pix4Dsurvey to generate orthomosaics, dense point clouds and vectorized assets for infrastructure maintenance, event planning and training. The implementation used drone capture, cloud processing in PIX4Dcloud to produce orthomosaics and dense point clouds, and Pix4Dsurvey for rapid 3D vectorization and vector asset creation. Pix4Dsurvey functioned as a Geographic Information System component to convert point clouds into vector features for roofs, utilities and site infrastructure, supporting roof inspections and flood risk analysis. Operational scope was focused on Bader Field with workflows owned by the Atlantic City Fire Department, impacting public safety, facilities maintenance and event operations. The deployment centralized geospatial capture and processing into a drone to cloud to desktop pipeline, enabling the department to execute recurring inspection and event logistics workflows. The drone plus Pix4Dsurvey workflow enabled rapid 3D vectorization in about two hours, producing actionable vectorized assets used for infrastructure maintenance, roof inspections, flood-risk analysis and more efficient event logistics. Deliverables from Pix4Dsurvey included orthomosaics, dense point clouds and vector assets that were consumed directly in operational planning and training.
MJ Engineering and Land Surveying Construction and Real Estate 125 $21M United States Pix4D SA Pix4Dsurvey Geographic Information System 2021 n/a In 2021, MJ Engineering and Land Surveying implemented Pix4Dsurvey as part of its Geographic Information System workflows for surveying and mapping in the Hudson Valley, United States. The deployment paired Pix4Dsurvey with PIX4Dmatic to extract ground points, generate a triangulated irregular network, and export surfaces to AutoDesk Civil3D for redevelopment planning and engineering model integration. The implementation configured Pix4Dsurvey to perform automated ground point classification, dense point filtering, and TIN creation to produce survey-ready surface models. Pix4Dsurvey outputs were exported as surface files compatible with AutoDesk Civil3D, enabling downstream planimetric and vertical control workflows within engineering design pipelines. Operational coverage centered on field surveying and mapping for redevelopment projects in the Hudson Valley, with primary business functions impacted including civil engineering, site redevelopment planning, and utility mapping. The technical workflow established an image processing to CAD surface pipeline, moving from PIX4Dmatic point cloud processing into Pix4Dsurvey surface extraction and then into AutoDesk Civil3D model consumption. The implementation produced survey-grade topographic outputs exceeding 5 cm ASPRS specifications and significantly sped up utility and planimetric extraction for engineering workflows, delivering higher fidelity surfaces for redevelopment planning.
Wells for Zoe Malawi Non Profit 20 $1M Malawi Pix4D SA Pix4Dsurvey Geographic Information System 2024 n/a In 2024, Wells for Zoe Malawi deployed Pix4Dsurvey as part of a drone to CAD surveying workflow in Kafulufulu, Northern Malawi. The deployment used Pix4Dsurvey in the Geographic Information System category to support civil engineering and surveying for siting and designing a community footbridge. The implementation pipeline began with aerial data processed in PIX4Dmatic to produce a dense 3D point cloud, which was then imported into Pix4Dsurvey. Within Pix4Dsurvey the team created a triangulated irregular network and extracted contour lines, using terrain modeling and contour generation capabilities to translate survey outputs into engineering‑ready deliverables. Operationally the workflow supported Wells for Zoe Malawi field teams and external engineering partners, enabling remote collaboration on bridge alignment and grade decisions. The scope focused on site selection and design in Kafulufulu, with Pix4Dsurvey providing the Geographic Information System functions needed for civil site modeling and design coordination. Governance and process changes centered on a digital handoff from photogrammetry to survey products, standardizing TIN and contour delivery for external reviewers. The Pix4Dsurvey enabled workflow reduced costs and sped decision making, and it supported optimal bridge placement so the community could access vital services during the rainy season.
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