San Francisco, 94107, CA,
United States
Lyft Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Lyft and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2934 Lyft employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Lyft has purchased the following applications: Expensify Expense Management for Expense Management in 2015, Lever by Employ for Applicant Tracking System in 2014, Oracle Autonomous AI Database for AI Database in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Lyft is running and its propensity to invest more and deepen its relationship with Expensify , Intuit , Stripe 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 Lyft revenues, which have grown to $5.79 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 Lyft 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 |
|---|---|---|---|---|---|---|---|---|
| Expensify | Legacy | Expensify Expense Management | Expense Management | ERP Financial Management | n/a | 2015 | 2015 |
In 2015, Lyft implemented Expensify Expense Management to centralize employee expense reports and standardize submission across the organization. The deployment targeted finance and travel expense workflows within Lyft in the United States, focusing on receipt capture, mobile expense submission, and automated approval routing to manage expense reporting at scale.
Expensify Expense Management was configured to enforce corporate expense policies, maintain auditable expense report records, and enable configurable approval hierarchies for finance approvers. The configuration leveraged typical Expense Management capabilities including receipt OCR, rule based policy enforcement, approval workflows, and reimbursement tracking, and operational governance was assigned to finance for policy maintenance and approver role assignment, with expense reports processed via Expensify.
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Expense Management, Tax Management | ERP Financial Management |
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2017 | 2017 |
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Payment Processing | ERP Financial Management |
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2015 | 2015 |
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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 | 2014 | 2014 |
In 2014, Lyft implemented Lever by Employ as its Applicant Tracking System and surfaced the platform on its public careers site to capture candidate applications. The deployment uses Lever by Employ as a cloud-hosted ATS to centralize job listings and intake, supporting Talent Acquisition and HR workflows through Lyft's website career pages.
Configuration emphasizes core Applicant Tracking System capabilities, including job posting management, candidate application capture, structured recruiting pipelines, interview scheduling orchestration, and offer tracking. Governance focused on centralizing requisition control and standardizing hiring stages and role-based access for recruiting operations and hiring managers, with applicant routing performed directly from the Lyft careers site into configured pipelines.
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Applicant Tracking System | HCM |
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2015 | 2015 |
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Applicant Tracking System | HCM |
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2020 | 2020 |
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BackGround Screening | HCM |
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2016 | 2016 |
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BackGround Screening | HCM |
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2018 | 2018 |
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Benefits Administration | HCM |
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2019 | 2019 |
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Core HR | HCM |
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2021 | 2021 |
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Payroll | HCM |
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2020 | 2020 |
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Video Interviewing, Talent Assessment | HCM |
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2019 | 2019 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Autonomous AI Database | AI Database | AI Development | Deloitte | 2021 | 2021 |
In 2021, Lyft implemented Oracle Autonomous AI Database. Lyft used Oracle Autonomous AI Database alongside Oracle Cloud ERP and Oracle Analytics to create a single source of finance and operations data and significantly accelerate financial close processes in the United States.
The implementation leveraged the AI Database as a centralized data layer for finance and operations, configured to consolidate transactional and reporting datasets. Lyft configured Oracle Autonomous AI Database to exploit autonomous management, automatic tuning, and AI enabled analytics capabilities typical of AI Database deployments, supporting query performance and reduced manual database administration.
Integrations centered on Oracle Cloud ERP and Oracle Analytics, with Oracle Autonomous AI Database serving as the canonical finance and operations store for US accounting and operational reporting. Deloitte acted as the systems integrator, supporting data modeling, ETL orchestration, and the technical integration work required for the ERP, analytics, and database alignment.
Governance emphasis included a centralized data model and controls to support close orchestration and month end procedures, with operational ownership concentrated in finance and operations teams in the United States. The explicit outcome reported was a significant acceleration of financial close processes in the United States.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Computer Vision | AI-Powered Application |
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2025 | 2026 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Analytics and BI | Analytics and BI |
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2019 | 2019 |
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Analytics and BI | Analytics and BI |
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2019 | 2019 |
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Data Warehouse | Analytics and BI |
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2020 | 2020 |
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Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Blockchain Platform | Blockchain |
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2025 | 2025 |
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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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2021 | 2021 |
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Collaboration | Collaboration |
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2019 | 2019 |
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Collaboration | Collaboration |
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2013 | 2013 |
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Survey and Questionnaire | 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 Signing | Content Management |
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2021 | 2021 |
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Enterprise Content Management | Content Management |
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2020 | 2020 |
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Web Content Management | Content Management |
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2018 | 2018 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Call Center | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2014 | 2014 |
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Customer Experience | CRM |
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2019 | 2019 |
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Customer Experience | CRM |
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2019 | 2019 |
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Customer Support | CRM |
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2015 | 2015 |
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Customer Support | CRM |
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2017 | 2017 |
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Customer Support | CRM |
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2024 | 2024 |
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Marketing Analytics | CRM |
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2014 | 2014 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2013 | 2013 |
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Marketing Automation | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2020 | 2020 |
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EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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EPM | EPM |
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2019 | 2020 |
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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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2014 | 2014 |
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IT Service Management | ITSM |
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2019 | 2019 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2019 | 2019 |
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Governance, Risk and Compliance | TRM |
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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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API Management, iPaaS (Integration Platform as a Service) | PaaS |
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2023 | 2023 |
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Test Automation Platform | PaaS |
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2019 | 2019 |
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Transactional Email | PaaS |
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2013 | 2013 |
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Transactional Email | PaaS |
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2013 | 2013 |
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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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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Cloud Storage | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2013 | 2013 |
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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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2018 | 2018 |
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Database Management | IaaS |
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2011 | 2011 |
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Database Management | IaaS |
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2019 | 2019 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Data Loss Prevention | CyberSecurity |
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2018 | 2019 |
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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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Identity and Access Management (IAM) | CyberSecurity |
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2018 | 2018 |
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Identity and Access Management (IAM) | CyberSecurity |
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2022 | 2022 |
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Identity and Access Management (IAM) | CyberSecurity |
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2017 | 2017 |
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Physical Security
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Video Surveillance System | Physical Security |
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2015 | 2015 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
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