# Inkeep vs Together AI Inkeep records 28,786 monthly visits with -5.1% 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 | [Inkeep](https://openaitools.app/tool/inkeep) | [Together AI](https://openaitools.app/tool/together-ai) | | :--- | :--- | :--- | | Website URL | https://inkeep.com | https://www.together.ai | | Categories | AI Customer Service, AI Chatbot, AI Copilot, AI Agent | AI Developer Tools, AI API, AI Models, Open Source AI Models | | Pricing Model | Contact for Pricing | Freemium, Paid | | Monthly Visits | 28,786 | 1,645,930 | | MoM Growth Rate | -5.1% | +64.9% | | Primary Market | United States | United States | | Direct Visits | 20,889 | 882,212 | | Review Score | 4.4 | 4.7 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## Inkeep Inkeep is built around the idea that engineering and business teams should ship AI agents on one shared platform. It offers two surfaces that stay in sync: a no-code visual builder for business users and a TypeScript Agent SDK for developers. Because both write to the same agent definitions, a non-technical owner can tweak an agent in the builder while an engineer extends the same agent in code, without forking into separate implementations. The product covers three main agent categories. Customer-facing assistants use unified search over your knowledge base and product to answer complex customer questions and query customer-specific information. Inkeep Coworker gives CX teams a personal assistant triggered from Slack or a support platform, gathering context from your CRM, billing, and other systems and proposing ready-to-approve answers with human approvals. Automation agents watch for webhooks, schedules, or external events to keep the knowledge base current, and coordination agents route complex work to specialist sub-agents. Agents can take real actions such as creating tickets, updating CRMs, generating content, and sending notifications through MCP tools. Inkeep markets itself to support, documentation, product, and go-to-market teams that want AI agents they can trust, backed by governance, testing, reports, and connectors. It offers open-source components, and pricing is arranged through a demo rather than self-serve checkout. **Pricing & Plans:** Contact for pricing. Inkeep routes prospects through a demo and does not advertise public self-serve tiers, so pricing depends on your requirements; talk to their team for a quote. - **No-code visual builder:** Business teams create and own AI agents through a visual builder without writing code, defining triggers, sub-agents, and tools. - **Developer Agent SDK:** Engineers build the same agents in TypeScript with an SDK that supports sub-agents, delegation, and MCP tools. - **Two-way sync:** Builder and SDK write to shared agent definitions, so non-technical and technical teams can collaborate on the same agents. - **Coworker agents:** CX assistants triggered from Slack or a support platform gather context from CRM and billing and propose human-approved answers. - **Automation and orchestration:** Agents run on webhooks, schedules, or external events, route to specialist sub-agents, and take real actions via MCP. **Strengths:** One platform where business and engineering teams build agents together with two-way sync; Covers customer-facing assistants, internal coworkers, and knowledge automation; Agents can take real actions through MCP tools and dedicated connectors; Open-source components and governance, testing, and reporting for enterprise trust **Limitations:** Pricing is only available by contacting sales, so no public self-serve plans; The SDK and multi-agent orchestration assume some developer involvement; Better suited to teams with substantial documentation and support volume than to individuals [Profile (Markdown)](https://openaitools.app/tool/inkeep.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 Inkeep and Together AI compare in monthly traffic? Inkeep has 28,786 monthly visits, while Together AI has 1,645,930. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Inkeep has a month-over-month growth rate of -5.1%; Together AI has +64.9%. ### How does pricing compare? Inkeep: Contact for Pricing. Contact for pricing. Inkeep routes prospects through a demo and does not advertise public self-serve tiers, so pricing depends on your requirements; talk to their team for a quote. 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 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | AI-first customer service with a natively integrated AI agent | [.md](https://openaitools.app/tool/intercom-com.md) | | 5 | [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) | | 6 | [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) | | 7 | [Crisp](https://openaitools.app/tool/crisp-chat) | 1,408,646 | +1.5% | Free Trial, Paid, Contact for Pricing, Free | AI-first customer support platform with a shared inbox built in | [.md](https://openaitools.app/tool/crisp-chat.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 | [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) | | 10 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Provides exceptionally fast inference speeds and robust fine-tuning tools, competing directly on open-source model deployment performance. | [.md](https://openaitools.app/tool/fireworks-ai.md) | --- Source: https://openaitools.app/compare/inkeep-vs-together-ai More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)