Redmond, 98052, WA,
United States
Aigen Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Aigen and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 60 Aigen employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Aigen has purchased the following applications: Odoo Open Source ERP for ERP Financial in 2024, Lever by Employ for Applicant Tracking System in 2022, LightlyTrain for AI Frameworks and Libraries 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 Aigen is running and its propensity to invest more and deepen its relationship with Odoo , Employ , Lightly 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 Aigen revenues, which have grown to $1.0 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 Aigen 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Odoo | Legacy | Odoo Open Source ERP | ERP Financial | ERP Financial Management | n/a | 2024 | 2024 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Employ | Legacy | Lever by Employ | Applicant Tracking System | HCM | n/a | 2022 | 2022 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Lightly | Legacy | LightlyTrain | AI Frameworks and Libraries | AI Development | n/a | 2024 | 2024 |
In 2024, Aigen integrated LightlyTrain into its agricultural robotics ML pipeline in Redmond, WA. The deployment used LightlyTrain from the AI Frameworks and Libraries category to support model development and dataset curation for crop and weed detection, embedding the application into core data and training workflows.
LightlyTrain was configured to run self supervised pretraining and distillation workflows, producing compact student models optimized for on-robot inference. Implemented capabilities included embedding based redundancy detection, edge case mining to surface rare images, and automated dataset selection to concentrate annotation on high value samples.
The implementation was embedded within Aigen's end to end ML pipeline, covering data ingestion, dataset curation, annotation gating, and training pipelines at the Redmond site. Operational scope focused on engineering and computer vision teams responsible for crop and weed detection, and on annotation operations that feed model retraining cycles.
Governance and process changes introduced automated sampling checkpoints and curated data review prior to annotation, aligning data workflows with LightlyTrain driven sampling and distillation. Outcomes reported in the case study include dataset size reductions of about 80 to 90 percent, a doubling of deployment efficiency, and lower annotation costs for crop and weed detection.
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ML and Data Science Platforms | AI Development |
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2024 | 2024 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2021 | 2021 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Asset Management | Content Management |
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2025 | 2025 |
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Web Content Management | Content Management |
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2021 | 2021 |
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Web Content Management | Content Management |
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2023 | 2023 |
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Web Content Management | Content Management |
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2023 | 2023 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Marketing Analytics | CRM |
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2022 | 2022 |
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Tag Management | CRM |
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2023 | 2023 |
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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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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2021 | 2021 |
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Apps Development | PaaS |
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2024 | 2024 |
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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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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2026 | 2026 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2023 | 2023 |
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Content Delivery Network | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2023 | 2023 |
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Domain Name System (DNS) | IaaS |
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2023 | 2023 |
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Network Management and Monitoring | IaaS |
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2023 | 2023 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2020 | 2020 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2020 | 2020 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2021 | 2021 |
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