San Ramon, 94583, CA,
United States
Beewise Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Beewise and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 30 Beewise employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Beewise has purchased the following applications: Amazon EC2 for Application Hosting and Computing Services in 2019, Dalet Flex for Digital Asset Management in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Beewise is running and its propensity to invest more and deepen its relationship with Amazon Web Services (AWS) , Dalet Digital Media Systems or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Beewise revenues, which have grown to $5.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Beewise intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2019 | 2019 |
Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Dalet Digital Media Systems | Legacy | Dalet Flex | Digital Asset Management | Content Management | n/a | 2024 | 2024 | In 2024, Beewise implemented Dalet Flex for Digital Asset Management. The implementation targeted management of image and media assets that support computer vision for Beewise robotic beehives operating in the United States, centralizing media ingestion and metadata to support R&D and operations. Dalet Flex was positioned as the system of record for media lifecycle, cataloging, and controlled access to annotated imagery. Configuration work emphasized dataset versioning, annotation and active-learning workflows, and experiment tracking as the primary functional modules, reflecting common Digital Asset Management capabilities for metadata indexing, search, and access control. Dalet Flex was configured to support asset ingestion pipelines, standardized metadata schemas for computer-vision labels, and role-based permissions for annotators and data scientists, enabling consistent asset provenance and auditability. Beewise separately moved its computer-vision datasets and experiment management to DagsHub, using DagsHub for dataset versioning and experiment tracking while Dalet Flex housed the enterprise media assets and metadata that feed those datasets. The operational scope focused on computer vision and data management for robotic beehives in the U.S., with workflows designed to connect annotation outputs to model training artifacts and experiment records. Governance changes centered on standardizing annotation workflows and instituting experiment lifecycle controls to improve data quality and repeatability. As part of that combined approach, Beewise reported cutting model iteration time from weeks to days, reducing annotation mistakes by approximately 30 percent, and enabling a single annotator to handle more than 100,000 images, outcomes tied to the use of DagsHub for dataset and experiment management alongside Dalet Flex for Digital Asset Management. |
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||