AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Aigen Data, Technology Stack, and Enterprise 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
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
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.
ML and Data Science Platforms AI Development 2024 2024
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2021 2021
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Digital Asset Management Content Management 2025 2025
Web Content Management Content Management 2021 2021
Web Content Management Content Management 2023 2023
Web Content Management Content Management 2023 2023
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Marketing Analytics CRM 2022 2022
Tag Management CRM 2023 2023
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Performance Management ITSM 2021 2021
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Apps Development PaaS 2021 2021
Apps Development PaaS 2024 2024
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2021 2021
Application Hosting and Computing Services IaaS 2021 2021
Application Hosting and Computing Services IaaS 2026 2026
Content Delivery Network IaaS 2022 2022
Content Delivery Network IaaS 2022 2022
Content Delivery Network IaaS 2023 2023
Content Delivery Network IaaS 2024 2024
Content Delivery Network IaaS 2023 2023
Domain Name System (DNS) IaaS 2023 2023
Network Management and Monitoring IaaS 2023 2023
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Sockets Layer (SSL) CyberSecurity 2020 2020
Secure Sockets Layer (SSL) CyberSecurity 2020 2020
Secure Sockets Layer (SSL) CyberSecurity 2021 2021
IT Decision Makers and Key Stakeholders at Aigen
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by Aigen Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Aigen Technographics

Aigen is a Manufacturing organization based in United States, with around 60 employees and annual revenues of $1.0 million.

Aigen operates a diverse technology stack with applications such as Odoo Open Source ERP, Lever by Employ and LightlyTrain, covering areas like ERP Financial, Applicant Tracking System and AI Frameworks and Libraries.

Aigen has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Odoo, Employ and Lightly.

Aigen recently adopted applications including Amazon EC2 in 2026, Cloudinary DAM in 2025 and Odoo Open Source ERP in 2024, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Aigen’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Aigen’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete Aigen technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.