Seattle, 98119, WA,
United States
Outreach.io Technographics
Outreach.io Technographics, Software Purchases, AI 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 680 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 $200.0 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 Tech Stack and Enterprise Applications
Outreach.io ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Stripe | Legacy | Stripe Payments | Payment Processing | ERP | n/a | 2021 | 2021 |
In 2021, Outreach.io deployed Stripe Payments on its website to handle online transactions and centralize merchant-facing checkout flows. Outreach.io implemented Stripe Payments as the front end for its Payment Processing stack, consolidating web checkout payment capture and tokenization under a single provider.
The implementation configured hosted checkout integration, payment tokenization, webhook-driven event handling for transaction lifecycle events, and fraud signal ingestion consistent with Payment Processing capabilities. Configuration work emphasized server-side event routing and reconciliation touchpoints so payment captures and refunds emit discrete events to downstream finance workflows.
Operational scope focused on the public website checkout path and the finance and revenue operations workflows that consume settlement and dispute events. Governance established configuration control in the engineering team with operational handoffs to finance for reconciliation and dispute management, and technical monitoring based on webhook events to ensure transactional visibility through Stripe Payments.
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Payment Processing | ERP |
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2023 | 2023 |
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Payment Processing | ERP |
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2021 | 2021 |
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Subscription and Recurring Billing | ERP |
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2020 | 2020 |
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Outreach.io 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 |
In 2017, Outreach.io deployed Lever by Employ as its Applicant Tracking System to support corporate recruiting and talent acquisition activities. The implementation targeted Outreach.io’s professional services hiring processes for a company with approximately 1200 employees, embedding Lever by Employ into their recruitment workflow.
Lever by Employ was configured to manage core Applicant Tracking System workflows including job posting and syndication, candidate sourcing and profile management, interview scheduling and coordination, offer management, and pipeline tracking. The implementation included configuration of structured interview stages, candidate status taxonomy, and reporting dashboards consistent with Applicant Tracking System functional capabilities.
The deployment was instrumented on Outreach.io’s public careers site, using Lever by Employ to host job listings and capture applications directly from the company website. Operational coverage focused on talent acquisition and HR teams, with the system supporting hiring manager collaboration and centralized candidate pipeline visibility across recruiting functions.
Governance changes centered on formalizing recruiting workflows and interview loops, establishing standardized candidate handoffs and ownership between sourcers, recruiters, and hiring managers. The project emphasized process control, role-based access to applicant data, and use of Lever by Employ to enforce consistent hiring stages and audit trails for recruitment decisions.
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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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Outreach.io 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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Outreach.io 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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Outreach.io 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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Outreach.io 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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Outreach.io 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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Outreach.io 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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Outreach.io 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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Outreach.io 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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Outreach.io 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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Outreach.io 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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Outreach.io 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 |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Outreach.io
Apps Being Evaluated by Outreach.io Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||