List of Together Enterprise Platform Customers
San Francisco, 94103, CA,
United States
Since 2010, our global team of researchers has been studying Together Enterprise Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Together Enterprise Platform for Generative AI Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Together Enterprise Platform for Generative AI Platforms include: Salesforce, a United States based Professional Services organisation with 76453 employees and revenues of $37.90 billion, Zomato, a India based Leisure and Hospitality organisation with 4440 employees and revenues of $1.40 billion, The Washington Post, a United States based Media organisation with 2500 employees and revenues of $620.0 million and many others.
Contact us if you need a completed and verified list of companies using Together Enterprise Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Together Enterprise Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Salesforce | Professional Services | 76453 | $37.9B | United States | Together AI | Together Enterprise Platform | Generative AI Platforms | 2024 | n/a |
In 2024, Salesforce integrated the Together Enterprise Platform through a strategic collaboration with Together AI to provide exclusive access to the LlamaRank reranker via Together's Rerank API in the United States. The deployment is positioned under the Generative AI Platforms category and is intended to improve retrieval and RAG relevance while lowering downstream LLM costs for enterprise search workloads.
Together Enterprise Platform embeds the LlamaRank reranker into serverless rerank endpoints and pairs those endpoints with dedicated inference capabilities. The implementation focuses on neural reranking as a post-retrieval step, reshaping candidate ordering returned to retrieval systems and RAG pipelines, which is a standard capability within Generative AI Platforms for improving context relevance.
Operational coverage for the integration is explicitly scoped to the United States, with the collaboration targeting search and knowledge retrieval in customer support, knowledge base search, and developer workflow contexts. The integration model concentrates on API-level rerank calls from existing retrieval systems into Together's serverless Rerank API and dedicated inference infrastructure, enabling separation of rerank compute from primary LLM inference.
Governance and rollout emphasize exclusive access and managed inference capacity through Together's platform, aligning access controls and dedicated inference to contain rerank workloads. The stated outcomes include improved search quality for support and knowledge scenarios and reduced downstream LLM consumption costs by reranking and better prioritizing retrieved candidates before costly generative calls.
|
 |
The Washington Post | Media | 2500 | $620M | United States | Together AI | Together Enterprise Platform | Generative AI Platforms | 2024 | n/a |
In 2024 The Washington Post deployed the Together Enterprise Platform to power Ask the Post, an AI search and retrieval-augmented generation system indexing newsroom content across the United States. The implementation is classified within the Generative AI Platforms category and was scoped to support newsroom search and editorial query workflows at scale.
The deployment uses dedicated endpoints and serverless inference to deliver model hosting and runtime, enabling full model ownership and predictable pricing as core operational characteristics. Together Enterprise Platform provides the RAG orchestration and low-latency inference that produce approximately two second response times while handling 1.79 billion input tokens per month.
Operational coverage centers on newsroom content and editorial functions, processing thousands of daily queries across archives and current reporting. The platform architecture emphasizes scalable inference and endpoint isolation to sustain concurrent request volumes and to provide enterprise-grade reliability for production query traffic.
Governance and commercial outcomes aligned with the deployment include enterprise-grade reliability, predictable pricing, and retained model ownership through dedicated endpoints and serverless inference. These characteristics were cited as central to delivering Ask the Post at the stated performance and token throughput levels on the Together Enterprise Platform.
|
 |
Zomato | Leisure and Hospitality | 4440 | $1.4B | India | Together AI | Together Enterprise Platform | Generative AI Platforms | 2024 | n/a |
In 2024, Zomato deployed the Together Enterprise Platform to build Zia, an AI powered customer support agent serving users in India. Zomato used the Together Enterprise Platform in a Generative AI Platforms implementation to automate customer support workflows and surface contextual responses.
The implementation used a hybrid architecture, running a serverless baseline for steady traffic and dedicated endpoints to absorb peak loads, with Together's optimized Llama models powering inference. Function based pipelines were implemented to route user inputs, enforce containment, and orchestrate external actions, which reduced unnecessary token usage. This configuration focused on lowering inference costs while maintaining rapid throughput and predictable scaling behavior.
Operational coverage centered on Zomato customer support in India, where Zia scaled beyond 1,000 messages per minute and achieved a 75 percent reduction in average response time to under 10 seconds. Customer satisfaction doubled following the deployment according to the reported results. Governance emphasized containment controls and pipeline orchestration to manage model behavior and operational cost.
|
Buyer Intent: Companies Evaluating Together Enterprise Platform
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||