AI cloud platform

What is Together AI?

Together AI provides cloud infrastructure for training, fine-tuning, and serving open AI models.

Category
AI cloud platform
Headquarters
San Francisco, CA
Founded
2022
Employees
Not publicly disclosed
Total funding
Reported ~$513M
Valuation
Reported $3.3B

What is Together AI?

Together AI is a ai cloud platform headquartered in San Francisco, CA. Together AI provides cloud infrastructure for training, fine-tuning, and serving open AI models.

Together AI operates in ai cloud platform and is best understood by its product surface: Together Inference, Together Fine-tuning, GPU clusters, Dedicated endpoints, RedPajama. Customers include AI startups, enterprises, developers, and teams deploying open-source models. Revenue is not disclosed; demand is driven by open-model inference and training workloads.

The company was founded in 2022, is headquartered in San Francisco, CA, and has not publicly disclosed employees according to public reporting or company-visible signals. Its market position is shaped by the acceleration of AI infrastructure and application spend, but most private-company financials remain reported estimates rather than audited disclosures.

For buyers and sellers, Together AI is a useful account because the company sits close to production AI budgets. The relevant buying centers are usually engineering, research, infrastructure, product, security, and enterprise operations rather than a single generic AI owner.

What does Together AI offer?

Together AI's public product surface includes Together Inference, Together Fine-tuning, GPU clusters, Dedicated endpoints and related enterprise capabilities.

  • Together Inference· Product / capability
  • Together Fine-tuning· Product / capability
  • GPU clusters· Product / capability
  • Dedicated endpoints· Product / capability
  • RedPajama· Product / capability
  • Enterprise private cloud· Product / capability

How does Together AI make money?

Together AI monetizes through a mix of self-service usage, subscriptions, infrastructure capacity, licensing, and enterprise contracts depending on the product line.

Together AI sells metered inference, fine-tuning, GPU/cluster capacity, and private-cloud contracts.

Growth is driven by production AI usage: more prompts, model calls, GPU hours, private deployments, seats, storage, or managed workflows depending on the product. Where exact pricing is not published, the profile treats enterprise terms as contract-priced rather than inventing seat prices.

The buyer motion is therefore both developer-led and enterprise-led. Individual builders may start with a free tier, open-source project, or usage-based API, while larger accounts typically involve procurement, security review, data-governance review, and committed capacity or platform agreements.

Who leads Together AI?

Together AI's publicly visible leadership includes Vipul Ved Prakash.

  • Vipul Ved PrakashFounder & CEOPublic role as of June 2026Entrepreneur and technologist leading the open-model cloud strategy.

How do you contact Together AI's leadership?

No verified public executive email pattern was confirmed for Together AI; use the company's official contact, sales, support, or press paths rather than guessed personal emails.

Email formatNo verified public executive email format; use official contact channels.

How much funding has Together AI raised?

Together AI has reported ~$513m, with valuation/status currently described as Reported $3.3B.

Together AI's disclosed funding history is: 2023: Series A — $102.5M led by Kleiner Perkins. Mar 2024: Funding round — $106M led by Salesforce Ventures at about $1.25B valuation. Feb 2025: Series B — $305M led by General Catalyst and Prosperity7 at about $3.3B valuation.

Because several AI companies use strategic partnerships, cloud credits, debt, project finance, or reported-but-not-yet-filed private rounds, this profile separates disclosed funding from directional reports. The valuation field is reported as Reported $3.3B; it should be rechecked before financial decisions.

The seller signal is budget maturity. Companies with late-stage or infrastructure-scale financing usually have formal procurement and security processes, while earlier labs and open-source companies may centralize decisions with founders and technical platform leaders.

How did Together AI get here?

Together AI's timeline runs from its 2022 founding to its current ai cloud platform position.

  1. 2022FoundedTogether starts as an open-model infrastructure company.
  2. Apr 2023RedPajamaThe company launches an open training-data initiative.
  3. 2023Series ATogether raises over $100M.
  4. 2024Enterprise platformThe company expands inference and private-cloud products.
  5. Dec 2024CodeSandbox acquisitionTogether adds cloud development environment capabilities.
  6. 2025Series BTogether raises at $3.3B valuation.

Who are Together AI's competitors?

Together AI competes with Fireworks AI, Baseten, Replicate, Modal, CoreWeave depending on the buyer's use case.

  • Fireworks AIFireworks AI overlaps with Together AI for buyers evaluating ai cloud platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
  • BasetenBaseten overlaps with Together AI for buyers evaluating ai cloud platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
  • ReplicateReplicate overlaps with Together AI for buyers evaluating ai cloud platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
  • ModalModal overlaps with Together AI for buyers evaluating ai cloud platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
  • CoreWeaveCoreWeave overlaps with Together AI for buyers evaluating ai cloud platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.

Together AI — frequently asked questions

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