Together AI
Open-source AI cloud for training, inference and GPU compute.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Together Computer, Inc.
- Entity type
- COMPANY
- Founded
- 2022
- Headquarters
- United States
- Company size
- 201–500
- Market role
- B2B SaaS Provider
- Official website
- together.ai
What Together AI does
Together AI operates a cloud platform model focused on AI infrastructure and developer tooling. It aggregates GPU compute, model hosting, training workflows, fine-tuning, inference APIs and enterprise deployment services into one environment, reducing operational complexity for organisations building AI products. Value is created by giving customers production-grade access to open-source AI models and managed compute without requiring them to assemble their own infrastructure stack.
Category differentiation
Together AI is an AI infrastructure and model-serving company, not an advertising, martech or consumer social platform business. It sells cloud compute, inference and developer tooling rather than proprietary consumer media inventory.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Together AI is a private US-based B2B cloud software company that provides infrastructure and tooling for training, fine-tuning, evaluating and serving open-source AI models. Its platform combines managed GPU compute, serverless and dedicated inference, developer tooling, model catalogue access, and custom enterprise infrastructure into a single production environment. The company sells primarily to AI startups, enterprise teams, developers and machine learning engineers building production AI applications. The business makes money through usage-based API and infrastructure consumption, including token-priced inference, GPU-backed dedicated endpoints, managed cluster capacity and bespoke enterprise deployments. Its product mix positions it as an AI-native cloud layer for customers that want open-source model flexibility without operating raw infrastructure themselves. The 2025 acquisition of Refuel.ai extended the stack into unstructured data preparation, and the 2026 Series C reinforced its expansion as an infrastructure-scale AI platform.
Company news briefing
Briefing updated:
Together AI continues to cement its position within the expanding neocloud sector, maintaining its $8.3 billion valuation following its Series C round. Building on its role as seller of record for the upcoming Equinix Inference Exchange, the company's product team recently outlined an AI-native workflow stack that leverages multiple open models and agent-based validations.
Business model & monetisation
Together AI monetises through a blended cloud consumption model. Serverless inference is priced per token, batch and API usage is billed on usage, dedicated endpoints and managed GPU clusters are charged on reserved or hourly capacity, and enterprise infrastructure deployments are sold through custom contracts. The company also uses a software-platform model around integrated tooling and may capture additional wallet share through model lifecycle services, data preparation capabilities from Refuel.ai, and broader enterprise support arrangements.
- Serverless inference API
- Pay-per-Use
- Dedicated endpoints and GPU clusters
- Pay-per-Use
- Custom enterprise infrastructure and AI Factory deployments
- Service Fee
- Developer platform and lifecycle tooling
- Software Subscription
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Together AI Product Team Shares AI-Native Workflow Stack
AI-Native Product Management · Recorded impact score: 2/5
Together AI's product team, including CPO Charles Zedlewski and PMs Necoline Hubner and Pavneet Ahluwalia, outlined their AI-native product development stack in a podcast. The stack comprises four components: a shared context repository accessible by any AI harness, skills for feature research and PRD writing, an orchestrator for leadership, and agent evals. The team emphasizes collective productivity over individual gains, using multiple models like GLM and Kimi instead of relying solely on Anthropic. They validate products through agent-based tests, checking if AI agents can complete tasks using their documentation and API. The article also highlights Together AI's $8.3 billion valuation from its Series C round.
- Together AI is valued at $8.3 billion.
- Together AI's product team uses a four-component AI-native stack: shared context repo, skills, orchestrator, and agent evals.
2026 EU-Hosted LLM Inference Provider Comparison
Large Language Models (LLM) & AI · Recorded impact score: 2/5
This article compares European providers for running open-source large‑model inference inside the EU, focusing on data residency, pricing models, model choice, integration effort, and scaling. It reviews Lyceum, Scaleway, IONOS, STACKIT (Schwarz Group) and Mistral, summarizing strengths and weaknesses: Lyceum is presented as a pay‑per‑token, OpenAI‑compatible serverless option with EU residency and training VMs; Scaleway offers Paris‑hosted serverless inference with a free first‑token tier; IONOS targets German customers with hosted models plus built‑in RAG/vector DB; STACKIT emphasizes sovereignty and compliance for regulated DACH enterprises; and Mistral offers its own in‑house models (many released as open weights) as a managed vendor solution. The piece recommends trialing multiple providers to compare real cost and latency on your workload.
- The article compares EU-hosted inference options for open-source models, focusing on Lyceum, Scaleway, IONOS, STACKIT and Mistral.
- Lyceum is a Berlin-based inference cloud offering serverless, pay-per-token access via an OpenAI-compatible API, EU data residency, zero-retention mode, and transparent pricing from $0.13 per 1M tokens; dedicated inference endpoints are in beta.
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Questions about Together AI
What is Together AI?
Together AI is a private B2B cloud platform for training, fine-tuning, evaluating and serving open-source AI models on managed GPU infrastructure.
Who uses Together AI?
Its main users are AI startups, enterprises, developers, machine learning engineers and research teams building production AI applications.
How does Together AI make money?
It earns revenue from token-based inference, usage-based API consumption, managed GPU capacity, dedicated endpoints and custom enterprise infrastructure contracts.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
15 publicly documented primary sources and citations linked across the market graph.
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