Together AI Due Diligence

Run due diligence on Together AI: check incident history and compliance and get alerts when suppliers change.

United States · www.together.ai · 41 vendors

Together Computer, Inc., operating as Together AI, is a research-driven AI company that provides a full-stack AI platform, known as the AI Native Cloud. It enables developers and researchers to train, fine-tune, and deploy generative AI models. The company offers high-performance infrastructure, optimized software, and developer tools, with a strong focus on open-source AI.

Resilience scores

Disruption prediction

Together AI: 1 critical incidents expected in the next three months, based on its recorded incident history.

Forecast estimates are rounded up to whole numbers.

No active incident reported (its status page, as of 2026-11-09 17:25 UTC)

23 of Together AI's 41 vendors have incident tracking.

Technology vendors

Services catalogue

2 services in catalogue across 2 categories; runs on 41 sub-vendors.

Insights

Last updated 2026-08-16 · revision 8

41 direct vendors, 283 subvendors

Direct vendors by controlling owner country (sample)

Subvendors by controlling owner country (sample)

Compliance

6 in-scope frameworks identified; showing 3.

CCPA — Evidence found

Evidence: https://www.together.ai/privacy

EU AI Act (source) — No public evidence

Evidence: https://www.together.ai, https://www.together.ai/privacy, https://www.together.ai/terms-of-service

US Export Controls — No public evidence

Evidence: https://www.together.ai/terms-of-service

Financials

Three-year financials

Financial Resilience Score: 7/10

Together AI demonstrates strong short- to medium-term financial resilience thanks to a very large recent capital base. The company has raised over US$1.3bn in disclosed equity funding, culminating in an US$800m Series C in July 2026, supplemented by separately capitalized commitments for more than 500 MW of compute capacity. This provides multi-year runway even under heavy GPU-driven cash burn, and the strategic investor base — including NVIDIA, Aramco/Prosperity7, Salesforce Ventures, General Catalyst, Vista Equity, Pegatron and SE Ventures — secures preferential access to GPUs, energy, and data-center partnerships, which are the key bottlenecks in AI infrastructure. Operationally, the company benefits from a strong research moat (FlashAttention, ThunderKittens, Mamba, Hyena, RedPajama, ATLAS) that translates into cost and latency advantages versus commodity GPU renters, and a blue-chip AI-native customer base (Cursor, Cognition, ElevenLabs, Salesforce, Zoom, Zoho, SK Telecom, LG AI Research, Mozilla). Press-reported ARR reportedly scaled from ~US$10–15m in late 2023 to ~US$100m during 2024, implying very rapid growth. However, resilience is constrained by extreme capital intensity, likely significant ongoing operating losses (undisclosed), and aggressive price competition from hyperscalers (AWS, Azure, GCP) and specialized peers (CoreWeave, Fireworks, Groq, Anyscale, Lambda, Baseten, Modal). Customer concentration among early-stage AI-native firms adds cyclical risk, and the absence of any audited financial disclosure (no revenue, EBIT, equity, cash burn, or debt data) means the resilience assessment carries meaningful uncertainty.

Key strengths: US$800m Series C raised in July 2026 plus >500 MW of separately committed compute capacity, Cumulative disclosed equity funding exceeding US$1.3bn since 2022, Strategic investor base including NVIDIA, Aramco, Salesforce, General Catalyst securing GPU and data-center access, Research moat via FlashAttention, ThunderKittens, Mamba, RedPajama giving cost/latency advantage, Blue-chip AI-native customer roster (Cursor, Cognition, ElevenLabs, Salesforce, Zoom, SK Telecom), Diversified revenue mix across serverless inference, dedicated inference, GPU clusters, and fine-tuning, Rapid ARR growth from ~US$10–15m (2023) to ~US$100m (2024) per press reports

Risk factors: Extreme capital intensity requiring continuous multi-hundred-million-dollar GPU investment, Likely significant ongoing operating cash losses (undisclosed), Customer concentration among early-stage AI-native companies vulnerable to AI spending slowdown, Intense competition from hyperscalers (AWS Bedrock, Azure AI, Google Vertex) and specialized inference players (CoreWeave, Fireworks, Groq, Anyscale, Lambda, Baseten, Modal), Commoditization and aggressive price cuts pressuring inference unit economics, Dependence on NVIDIA GPU supply (partially mitigated by NVIDIA as investor), No public financial transparency — margins, burn rate, debt, deferred revenue all undisclosed

Revenue by geography

Revenue by product/service

Workforce by country

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