Together AI
AI startup, Together AI, empowers developers with cloud-based, open-source generative AI models and infrastructure.
- 7
- Series C
AI startup, Together AI, empowers developers with cloud-based, open-source generative AI models and infrastructure.
Together AI stands out with research-optimized performance: 2x faster inference than alternatives via custom kernels and speculative decoding, up to 60% lower costs through workload-specific tuning, and 90% faster pre-training with the Together Kernel Collection.
It provides full-stack coverage from data prep (via acquired Refuel.ai) to fine-tuning, inference, and dedicated clusters for 100B+ models. Supports 200+ open-source models with OpenAI-compatible APIs and no vendor lock-in. Pricing is 3-10x cheaper than closed-source providers while maintaining high reliability and security (SOC 2, HIPAA options).
Source: together.ai
The market for open AI infrastructure is booming as enterprises and developers shift from proprietary closed models to cost-effective, customizable open-weight solutions.
Together AI is well positioned at the intersection of inference, training, and data tools, with recent large fundraise and acquisition enabling it to capture demand for full-lifecycle AI development platforms in a market favoring transparency, control, and lower costs over vendor lock-in.
Source: together.ai
Together AI employs transparent usage-based pricing that undercuts closed providers by 3-10x.
Serverless inference ranges from $0.05-$7 per million tokens. Fine-tuning starts ~$0.48 per million tokens.
Dedicated GPUs are hourly billed. New users receive free credits and dozens of free models.
Source: together.ai
Together AI Inference is the core product: a high-performance platform for serving open-source LLMs and generative models with industry-leading speed and cost-efficiency. Features include 2x faster inference via research optimizations, workload-specific tuning for 60% lower costs, fine-tuning APIs, pre-training on clusters, and the Together Kernel Collection.
It supports models like Llama, DeepSeek and others, with OpenAI-compatible endpoints. The full-stack AI Native Cloud powers training, RL, inference at scale for enterprises and devs.