# Foundry vs Together AI

Foundry records 1,296 monthly visits with -52.7% month-over-month growth and Contact for Pricing pricing. Together AI records 1,645,930 monthly visits with +64.9% growth and Freemium, Paid pricing.

| Metric | [Foundry](https://openaitools.app/tool/foundry) | [Together AI](https://openaitools.app/tool/together-ai) |
| :--- | :--- | :--- |
| Website URL | https://www.thefoundryai.com | https://www.together.ai |
| Categories | AI Agent, AI Developer Tools, AI Testing | AI Developer Tools, AI API, AI Models, Open Source AI Models |
| Pricing Model | Contact for Pricing | Freemium, Paid |
| Monthly Visits | 1,296 | 1,645,930 |
| MoM Growth Rate | -52.7% | +64.9% |
| Primary Market | United States | United States |
| Direct Visits | 506 | 882,212 |
| Review Score | 4.3 | 4.7 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Foundry

Automating real web workflows is hard because the web itself is unstable. Sites change layout, block bots, throttle requests, and return different content depending on region or session — which means agent teams spend more time fighting infrastructure noise than improving their models. Foundry, built by a Y Combinator-backed team, attacks this problem directly by delivering pixel-perfect, reproducible browser environments. The platform's simulation layer generates deterministic web snapshots, so the same task produces the same environment every run, with no drift, no noise, and no rate limiting standing between an agent and a clean signal.

The second pillar is evaluation. Rather than returning a vague pass/fail score, Foundry tracks every agent action and classifies it — silent click failures, layout shifts, misfires and other error classes are surfaced explicitly. Teams get full state snapshots, state mutations and event logs after each trajectory, which they can diff against ground truth with their own heuristics. This makes it far easier to know whether a regression came from the model, the page, or the environment.

The third pillar is data and reinforcement learning. Foundry provides expert human annotators who build custom, long-horizon datasets for supervised fine-tuning of browser agents on real enterprise platforms, plus an RL environment (accessed through a Python SDK) where teams can safely sample and evaluate unlimited trajectories. Access is currently gated behind a private beta application, and the company also publishes benchmark leaderboard results for browser intelligence.

**Pricing & Plans:** Pricing is not published publicly. Foundry currently operates a gated private beta with an "Apply for Access" flow, and commercial terms are discussed directly with the team.

- **Deterministic browser simulation:** Pixel-perfect, reproducible browser environments that eliminate web drift, noise, and rate limits so agent runs are comparable over time.
- **Structured agent evaluation:** Every action is tracked, classified, and tagged — click failures, layout shifts, and misfires are surfaced rather than silently swallowed.
- **Expert-annotated datasets:** Human annotators build custom, long-horizon training data for supervised fine-tuning of browser agents on real enterprise platforms.
- **Unlimited RL trajectories:** Safely sample and evaluate large numbers of trajectories to train browser agents at scale, without running into anti-bot constraints.
- **Python SDK integration:** Plug Foundry into an existing agent workflow with an SDK that exposes task reset, CDP URL, final state, state mutations, and event logs.

**Strengths:** Purpose-built for browser/web agents rather than generic LLM evaluation; Reproducible environments remove a major source of confusing noise in agent benchmarks; Error classification is granular, helping teams attribute failures correctly; Combines simulation, data annotation, and RL in one platform instead of three vendors

**Limitations:** Access is limited to a private beta application, so onboarding is not self-serve; No public pricing, which makes budgeting hard before talking to sales

[Profile (Markdown)](https://openaitools.app/tool/foundry.md)

## Together AI

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research. Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.

**Pricing & Plans:** Freemium, Paid

**Limitations:** Serverless pricing varies widely by model, so cost forecasting takes care; Heavy GPU-cluster and high-throughput workloads still require sales contact; Broad surface area (inference, GPU, fine-tuning, sandboxes, storage) can feel complex for beginners; Some newest models are marked experimental or preview and may change

[Profile (Markdown)](https://openaitools.app/tool/together-ai.md)

## Frequently Asked Questions

### How do Foundry and Together AI compare in monthly traffic?

Foundry has 1,296 monthly visits, while Together AI has 1,645,930. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Foundry has a month-over-month growth rate of -52.7%; Together AI has +64.9%.

### How does pricing compare?

Foundry: Contact for Pricing. Pricing is not published publicly. Foundry currently operates a gated private beta with an "Apply for Access" flow, and commercial terms are discussed directly with the team. Together AI: Freemium, Paid. Freemium, Paid

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Provides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models. | [.md](https://openaitools.app/tool/openai.md) |
| 2 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Restricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Aggregates hundreds of models through a single API, offering broader model choice than Together AI's hosted lineup. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 4 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 5 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Run thousands of ready-made web scrapers and AI agents from one cloud platform | [.md](https://openaitools.app/tool/apify.md) |
| 6 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Delivers dramatically faster token generation speeds using custom hardware, though with a more limited model selection. | [.md](https://openaitools.app/tool/groq.md) |
| 7 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) |
| 8 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Focuses heavily on deploying custom machine learning models and media generation pipelines alongside standard text LLMs. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 9 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 10 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) |

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Source: https://openaitools.app/compare/foundry-vs-together-ai

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