Sunnyvale, 94086, CA,
United States
Blue River Technology Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Blue River Technology and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 80 Blue River Technology employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Blue River Technology has purchased the following applications: Greenhouse ATS for Applicant Tracking System in 2015, Figure Eight Platform for ML and Data Science Platforms in 2017, Google Workspace (Formerly Google G-Suite) for Collaboration in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Blue River Technology is running and its propensity to invest more and deepen its relationship with Greenhouse , Appen , Google 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 Blue River Technology revenues, which have grown to $17.0 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 Blue River Technology 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2015 | 2015 |
In 2015, Blue River Technology implemented Greenhouse ATS as their Applicant Tracking System. The deployment used Greenhouse ATS embedded on the company careers site at careers.bluerivertechnology.com to publish job openings and capture applicants directly through the website.
Configuration emphasized core Applicant Tracking System capabilities including job requisition creation, career site job posting, candidate pipeline management, structured interview scorecards, and offer workflow tracking. Greenhouse ATS was configured to maintain candidate records, standardize interview kits, and enforce staged recruiting workflows to support hiring managers and internal recruiters in a manufacturing context.
Operational coverage focused on talent acquisition across Blue River Technology in the United States, centralizing candidate intake on the Greenhouse jobs portal. Governance concentrated on recruiting and hiring manager processes, aligning requisition approval and interview scheduling within Greenhouse ATS, and using the application Greenhouse ATS Applicant Tracking System as the primary channel for applicant intake and candidate status tracking.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Appen | Legacy | Figure Eight Platform | ML and Data Science Platforms | AI Development | n/a | 2017 | 2018 |
In 2017, Blue River Technology implemented the Figure Eight Platform as part of its ML and Data Science Platforms adoption to support high-fidelity labeling for its See & Spray product line. See & Spray augments self-propelled sprayers with on-board computing and vision algorithms to distinguish crops from weeds across large-scale farms, addressing the operational inefficiency of blanket herbicide application. The implementation targeted the core problem of costly and imprecise spraying, enabling per-plant decisioning in the spraying workflow.
Blue River used the Figure Eight Platform to generate pixel by pixel labeled images, creating training datasets for its computer vision models. The platform supported annotation workflows that identified specific plant types such as cotton and pigweed, and those labeled datasets were consumed by Blue River’s model training pipeline. The Figure Eight Platform processed real-world field imagery supplied by Blue River to produce iterative datasets for model refinement.
Operationally, imagery was routed from field-mounted cameras on See & Spray machines into the Figure Eight Platform, then the labeled outputs were ingested into Blue River’s model training and validation systems. Trained models were deployed to on-board computing units on the sprayers to perform real-time inference and precision actuation of spraying hardware. The solution connected field operations with engineering and data science functions across large-scale farm sites.
The deployment established an iterative feedback loop where field teams continuously upload new images and Blue River expands label taxonomies to include new weed species, supporting frequent retraining cycles and dataset versioning. Governance centered on label taxonomy management and controlled model releases to shift operational procedures from blanket spraying to model-driven selective spraying. Processes were restructured to prioritize field data collection, annotation workflows, and operational integration of model outputs into actuation systems.
Outcomes documented in the case include a reported 90% reduction in average herbicide spend and the enabling of non-GMO seed use that costs about half the price of treated seeds. The Figure Eight Platform enabled species level identification so sprayers can avoid applying ineffective herbicides on resistant weeds. Reduced herbicide usage was also noted for its environmental benefit, lowering chemical runoff into the water table.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2018 | 2018 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Marketing Automation | CRM |
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2017 | 2017 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2017 | 2017 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Cloud Storage | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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