Outreach.io
333 Elliott Ave W #500,
Seattle, 98119, WA,
United States
Seattle, 98119, WA,
United States
1 888-938-7356
Professional Services
Outreach.io Technographics
Outreach.io Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Outreach.io and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1200 Outreach.io employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Outreach.io has purchased the following applications: Stripe Payments for Payment Processing in 2021, Lever by Employ for Applicant Tracking System in 2017, Databricks MLflow for ML and Data Science Platforms in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Outreach.io is running and its propensity to invest more and deepen its relationship with Stripe , Apple , Zuora 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 Outreach.io revenues, which have grown to $196.0 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 Outreach.io 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.
Outreach.io Data, Technology 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 | 2021 | 2021 |
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Payment Processing | ERP Financial Management |
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2023 | 2023 |
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Payment Processing | ERP Financial Management |
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2021 | 2021 |
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Subscription and Recurring Billing | ERP Financial Management |
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2020 | 2020 |
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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 | 2017 | 2017 |
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BackGround Screening | HCM |
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2017 | 2017 |
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Talent Assessment | HCM |
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2018 | 2018 |
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Video Interviewing | HCM |
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2018 | 2018 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Databricks | Legacy | Databricks MLflow | ML and Data Science Platforms | AI Development | n/a | 2020 | 2020 |
In 2020, Outreach.io implemented Databricks MLflow as its core ML and Data Science Platforms capability, using MLflow Projects to unify model development and deployment workflows. Databricks MLflow Projects was adopted as a lightweight, self documenting layer that centralizes and standardizes project entry points and environment definitions across the data science lifecycle.
The implementation integrated MLflow Projects alongside existing MLflow Tracking and MLflow Models components to provide end to end experiment, test, and deploy capabilities. MLflow Projects was used to provide a consistent CLI for running .py and .sh files, and to complement first class support for running Databricks notebooks while avoiding the overhead of creating Spark or Databricks jobs for script execution.
Operationally the implementation emphasized provenance and reproducibility, enabling runs from a GitHub commit without pulling code locally and preserving lineage for local uncommitted work. The MLflow Projects API was used to toggle execution from local to remote environments via a backend argument that points to a Databricks or Kubernetes JSON cluster configuration for single use operations, and dependencies were handled in code through Conda rather than manual cluster state.
Governance and process changes focused on centralizing entry points and environment definitions to improve consistency for data science and machine learning engineering teams. The approach reinforced strong provenance tracing from source code to model results and provided flexibility to prototype locally and scale to remote clusters using the Databricks MLflow implementation.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Chatbots and Conversational AI | AI-Powered Application |
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2017 | 2017 |
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Chatbots and Conversational AI | AI-Powered Application |
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2021 | 2021 |
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Chatbots and Conversational AI | AI-Powered Application |
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2018 | 2018 |
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Chatbots and Conversational AI | AI-Powered Application |
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2018 | 2018 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Data Warehouse | Analytics and BI |
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2020 | 2020 |
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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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2014 | 2014 |
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Collaboration | Collaboration |
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2018 | 2018 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Contract Lifecycle Management | Content Management |
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2021 | 2021 |
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Digital Signing | Content Management |
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2021 | 2021 |
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Web Content Management | Content Management |
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2017 | 2017 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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eCommerce | eCommerce |
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2022 | 2022 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Account Based Marketing | CRM |
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2019 | 2019 |
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Account Based Marketing | CRM |
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2019 | 2019 |
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Account Based Marketing | CRM |
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2021 | 2021 |
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Account Based Marketing | CRM |
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2022 | 2022 |
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Account Based Marketing, Sales Engagement | CRM |
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2018 | 2018 |
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CRM | CRM |
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2013 | 2013 |
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Customer Data Platform | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2017 | 2017 |
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Customer Support | CRM |
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2015 | 2015 |
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Customer Support | CRM |
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2018 | 2018 |
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Customer Support | CRM |
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2018 | 2018 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Marketing Automation, Sales Automation | CRM |
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2017 | 2017 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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IT Service Management | ITSM |
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2018 | 2018 |
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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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Governance, Risk and Compliance | TRM |
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2022 | 2022 |
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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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2019 | 2019 |
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Transactional Email | PaaS |
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2014 | 2014 |
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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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2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Cloud Storage | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
|
2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Outreach.io
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Outreach.io Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Outreach.io Technographics
Outreach.io is a Professional Services organization based in United States,
with around 1200 employees and annual revenues of $196.0 million.
Outreach.io operates a diverse technology stack with applications such as
Stripe Payments, Lever by Employ and Databricks MLflow,
covering areas like Payment Processing, Applicant Tracking System and ML and Data Science Platforms.
Outreach.io has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Stripe, Employ and Databricks.
Outreach.io recently adopted applications including
6sense Account Engagement Platform in 2022, Hyperproof Platform in 2022 and Stripe Payments in 2021,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Outreach.io’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Outreach.io’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 Outreach.io technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.