Synthesis AI
2F Higashi-Gotanda 1-chome Building, 1-24-2 Higashi-Gotanda, Shinagawa-ku,
Tokyo, 141-0022,
Japan
Tokyo, 141-0022,
Japan
81 120-002-490
Manufacturing
Synthesis AI Technographics
Synthesis AI Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Synthesis AI and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 355 Synthesis AI employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Synthesis AI has purchased the following applications: Stripe Payments for Payment Processing in 2018, Apolo AI Platform for ML and Data Science Platforms in 2024, Neu.ro OEM AI Cloud for Artificial Intelligence Marketing 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 Synthesis AI is running and its propensity to invest more and deepen its relationship with Stripe , Apolo , Cisco 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 Synthesis AI revenues, which have grown to $85.0 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 Synthesis AI 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.
Synthesis AI Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Stripe | Legacy | Stripe Payments | Payment Processing | ERP Financial Management | n/a | 2018 | 2018 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Apolo | Legacy | Apolo AI Platform | ML and Data Science Platforms | AI Development | n/a | 2024 | 2024 |
In 2024 Synthesis AI implemented the Apolo AI Platform in their AWS environment to scale synthetic data model training and MLOps. The deployment is categorized as MLOps/platform migration and moved core ML workflow orchestration from Kubeflow into an Apolo cluster, with the project documented in a vendor case study tied to a San Francisco US region deployment.
The Apolo AI Platform implementation focused on cluster provisioning in AWS and orchestration of training pipelines and experiment workflows, aligning with standard MLOps capabilities such as experiment tracking, training orchestration, compute provisioning, and synthetic data pipeline execution. Configuration work included cluster sizing and pipeline templating to support higher experiment concurrency and to standardize pipeline definitions across data science teams.
Integrations during the migration explicitly included the transition from Kubeflow and co location in Synthesis AIs AWS account, enabling the Apolo cluster to drive synthetic data model training and end to end MLOps operations. Operational scope covered ML engineering and data science functions, with the Apolo AI Platform serving as the centralized platform for model training and experiment lifecycle management.
Governance and rollout followed a platform migration pattern that centralized experiment orchestration and standardized pipeline templates to reduce ad hoc notebook driven runs and to accelerate repeatable training workflows. Per the vendor case study the migration tripled ML experiment throughput in month one and produced six figure compute cost savings, outcomes reported by the vendor for the San Francisco US engagement.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Apolo | Legacy | Neu.ro OEM AI Cloud | Artificial Intelligence Marketing | AI-Powered Application | n/a | 2024 | 2024 |
In 2024 Synthesis AI implemented Neu.ro OEM AI Cloud from Apolo to operationalize MLOps for synthetic-data model development in the United States. The Neu.ro OEM AI Cloud deployment supported the company’s Artificial Intelligence Marketing initiatives and concentrated on accelerating model training and experimentation for manufacturing use cases.
The implementation leveraged Neu.ro OEM MLOps capabilities on the Apolo platform, including experiment orchestration, model versioning, and automated training pipelines to formalize ML workflows and capture experiment metadata. Configuration emphasized reproducible pipelines and automated experiment lifecycle handling to support iterative synthetic-data training and controlled model promotion.
Operational architecture scaled cloud compute on AWS to unblock large synthetic-data training runs and enable concurrent experimentation, with the work executed as a DevOps/MLOps program. Integration points centered on AWS compute provisioning and pipeline orchestration, enabling parallel experiment execution across ML engineering and data science teams. The deployment scope was focused on centralized ML engineering and data science functions in the United States.
Governance and process changes introduced experiment lifecycle controls, CI/CD model promotion gates, and standardized experiment tracking to reduce manual coordination between engineering and data science. As an explicit outcome the project tripled the number of ML experiments within a month of rollout. This Synthesis AI Neu.ro OEM AI Cloud Artificial Intelligence Marketing implementation therefore connected platform-level MLOps controls to faster synthetic-data model iteration and higher experimentation throughput.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Audio Video and Web Conferencing | Collaboration |
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2019 | 2019 |
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Collaboration | Collaboration |
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2017 | 2017 |
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Survey and Questionnaire | Collaboration |
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2023 | 2023 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Video Editing | Content Management |
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2020 | 2020 |
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Web Content Management | Content Management |
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2020 | 2020 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Data Platform | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2022 | 2022 |
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Customer Support | CRM |
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2021 | 2021 |
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Digital Advertising Platform | CRM |
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2022 | 2022 |
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Digital Advertising Platform | CRM |
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2022 | 2022 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2022 | 2022 |
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Marketing Automation | CRM |
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2022 | 2022 |
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Marketing Automation | CRM |
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2022 | 2022 |
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Tag Management | CRM |
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2021 | 2021 |
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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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2023 | 2023 |
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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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2018 | 2018 |
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Apps Development | PaaS |
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2021 | 2021 |
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Transactional Email | PaaS |
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2021 | 2021 |
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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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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2025 | 2025 |
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Domain Name System (DNS) | IaaS |
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2019 | 2019 |
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Domain Name System (DNS) | IaaS |
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2019 | 2019 |
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Domain Name System (DNS) | IaaS |
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2020 | 2020 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Security (AppSec) | CyberSecurity |
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2022 | 2022 |
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Identity and Access Management (IAM) | CyberSecurity |
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2023 | 2023 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2017 | 2017 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2023 | 2023 |
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Web Application Firewalls (WAF), Phishing Protection | CyberSecurity |
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2025 | 2025 |
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IT Decision Makers and Key Stakeholders at Synthesis AI
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Synthesis AI Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Synthesis AI IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Synthesis AI digital transformation priorities and AI adoption trends.
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Synthesis AI Technographics
Synthesis AI is a Manufacturing organization based in Japan,
with around 355 employees and annual revenues of $85.0 million.
Synthesis AI operates a diverse technology stack with applications such as
Stripe Payments, Apolo AI Platform and Neu.ro OEM AI Cloud,
covering areas like Payment Processing, ML and Data Science Platforms and Artificial Intelligence Marketing.
Synthesis AI has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Stripe and Apolo.
Synthesis AI recently adopted applications including
Cloudflare CDN in 2025, Cloudflare Bot Management in 2025 and Apolo AI Platform in 2024,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Synthesis AI’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Synthesis AI’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 Synthesis AI technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.