New York, 10010, NY,
United States
Ramp Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Ramp and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 850 Ramp employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Ramp has purchased the following applications: Lattice Payrol for Payroll in 2024, Cohere Rerank 3 for Generative AI Platforms in 2024, Snowflake Data Warehouse for Data Warehouse in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Ramp is running and its propensity to invest more and deepen its relationship with Lattice , Cohere , Snowflake 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 Ramp revenues, which have grown to $100.0 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 Ramp 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Lattice | Legacy | Lattice Payrol | Payroll | HCM | n/a | 2024 | 2024 |
In 2024, Ramp was named among Lattice customers and could participate in Lattice Payroll as part of Lattice's 2024 early access payroll rollout in the United States. Lattice Payroll is presented as a Payroll application to align finance and HR payroll workflows, and Ramp's existing relationship with Lattice's platform supports the inference of potential adoption for US payroll operations.
If Ramp engages Lattice Payroll, implementation focus would likely include pay cycle configuration, tax withholding and filings, direct deposit processing, payroll reporting and pay run orchestration, with orchestration of payroll data against HR records and finance ledgers. Operational coverage would be concentrated on US payroll for HR and Finance functions, driving governance around pay cycle controls, approval workflows and payroll data synchronization across HR and finance processes. The description reflects inferred module usage based on Ramp's association with Lattice and the vendor's 2024 early access rollout, rather than a confirmed production deployment.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cohere | Legacy | Cohere Rerank 3 | Generative AI Platforms | AI Development | n/a | 2024 | 2024 |
In 2024, Ramp implemented Cohere Rerank 3 within its Generative AI Platforms deployment to automate in-app support flows and surface more relevant help-center content. The implementation focused on retrieval and precision improvements using Cohere Rerank 3 to rank candidate documents and drive self-service answers inside the product support interface.
The implementation configured Cohere Rerank 3 as a reranking layer on top of existing content indexes, aligning query signals with relevance scoring to prioritize the most applicable help articles. Deployment work included model configuration for reranking, content ingestion pipelines for help-center documents, and embedding retrieval workflows to feed candidate passages into the Cohere Rerank 3 model for final scoring.
Integrations centered on the in-app support UI and Ramp’s help-center content repository, operationalizing the model for the customer support function and product-embedded assistance. Ramp reported a rapid two-week deployment in Cohere’s customer story, and the deployment scope emphasized runtime inference in support flows rather than broad back-office automation.
Post-deployment governance emphasized monitoring relevance signals and iterative tuning of ranking thresholds and content coverage to maintain precision. Ramp reported over 60% self-served outcomes, and Cohere Rerank 3 was cited as the component driving the improved retrieval precision and more accurate surfacing of help documents.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Snowflake | Legacy | Snowflake Data Warehouse | Data Warehouse | Analytics and BI | n/a | 2022 | 2022 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Survey and Questionnaire | Collaboration |
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2024 | 2024 |
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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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2023 | 2023 |
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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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2023 | 2023 |
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CRM | CRM |
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2020 | 2020 |
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Customer Data Platform | CRM |
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2023 | 2023 |
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Marketing Automation | CRM |
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2023 | 2023 |
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Marketing Automation, Sales Automation | CRM |
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2023 | 2023 |
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Tag Management | CRM |
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2023 | 2023 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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AML, Fraud and Compliance | TRM |
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2022 | 2022 |
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AML, Fraud and Compliance | TRM |
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2019 | 2019 |
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AML, Fraud and Compliance | TRM |
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2019 | 2019 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Delivery Network | IaaS |
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2023 | 2023 |
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Content Delivery Network | IaaS |
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2023 | 2023 |
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