San Francisco, 94158, CA,
United States
Uber Technographics
Uber Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Uber and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 31100 Uber employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Uber has purchased the following applications: Rosetta Stone for Learning and Development in 2021, Baidu Apollo Go for Computer Vision in 2025, Comdata FleetAdvance for Fleet Management 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 Uber is running and its propensity to invest more and deepen its relationship with Rosetta Stone , Baidu , Comdata, a FLEETCOR Company 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 Uber revenues, which have grown to $43.98 billion 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 Uber 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.
Uber Tech Stack and Enterprise Applications
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Rosetta Stone | Legacy | Rosetta Stone | Learning and Development | HCM | n/a | 2021 | 2021 |
In 2021, Uber integrated Rosetta Stone into the Uber Driver app as a Learning and Development deployment aimed at improving driver and rider communication and service. The implementation delivered Rosetta Stone language learning content directly in-app, providing all 24 Rosetta Stone languages alongside rideshare-focused lesson modules designed for driver-facing scenarios.
The worker-training rollout went live in September 2021 across the United States and targeted driver training workflows within the Uber Driver application. Functional capabilities emphasized in-app language lessons and short contextual exercises for ride interactions, with content provisioned free to drivers under the Uber and Rosetta Stone partnership, and operational scope limited to US drivers to support service quality and real time communication.
|
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Baidu | Legacy | Baidu Apollo Go | Computer Vision | AI-Powered Application | n/a | 2025 | 2025 |
In 2025, Uber partnered with Baidu to deploy Baidu Apollo Go as a Computer Vision powered autonomous taxi offering across international markets outside the United States and mainland China. The deployment connects Uber with Baidu's commercially operated Apollo Go fleet, which has been running robotaxi services since 2022 and completed more than 11 million rides by May 2025.
The Baidu Apollo Go application brings core Computer Vision capabilities to the joint deployment, including perception driven object detection, sensor fusion for environment modelling, high definition mapping and motion planning modules that support fully driverless operation. These functional modules are central to vehicle autonomy, and are used to enable continuous environment sensing, localization and trajectory generation typical of autonomous mobility systems.
Operational integration centers on embedding Baidu Apollo Go vehicles into Uber's ride-hailing platform, aligning vehicle dispatch and booking flows so autonomous vehicles can accept trips via Uber, and provisioning fleet orchestration across targeted cities. The rollout targets markets in Asia and the Middle East with Apollo Go already present in 15 cities including Dubai and Abu Dhabi, and leverages Baidu's fleet of more than 1,000 fully driverless vehicles worldwide.
Governance for the program emphasizes cross-organizational coordination between Uber's ride operations and city teams, and Baidu's engineering and safety teams, with implementation contingent on local regulatory approvals and engineering integration across markets. The partnership represents a strategic operational expansion for Uber, positioning Baidu Apollo Go Computer Vision capabilities directly into Uber's ride-hailing business functions while requiring localized safety and regulatory governance for commercial rollouts.
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Comdata, a FLEETCOR Company | Legacy | Comdata FleetAdvance | Fleet Management | SCM | n/a | 2018 | 2018 |
In 2018, Uber Freight partnered with Comdata, a FLEETCOR Company, implementing Comdata FleetAdvance to power the Uber Freight Fuel Card within the Uber Freight Plus program. This deployment supported Fleet Management operations in the United States, delivering fuel payment, discounting and reporting capabilities to carriers and drivers participating in Uber Freight.
The Comdata FleetAdvance implementation concentrated on fuel payment processing, card-level discounting and transaction-level reporting, supplying transaction detail and consolidated analytics for finance and fleet management teams. Configuration and operational workflows were oriented around card issuance and controls, reconciliation and reporting automation typical of fleet card management systems.
Operational coverage centered on carriers and drivers enrolled in Uber Freight Plus, with finance and fleet management functions consuming billing, discount and reporting outputs. Governance and rollout were executed through the Uber Freight Plus program framework, and the vendor relationship with Comdata centralized fuel payment, discounts and reporting capabilities as described in the public announcement.
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Sales Automation, CRM, Sales Engagement | CRM |
|
2022 | 2022 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
AML, Fraud and Compliance | TRM |
|
2020 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Apps Development | PaaS |
|
2015 | 2016 |
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IT Decision Makers and Key Stakeholders at Uber
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Uber Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||