Train an AI on your content and let it handle customer support 24/7—no code required.
Try SiteSpeak AI
Build, deploy, and monitor enterprise-grade AI agents and agentic workflows — all in your own infrastructure.
Try DynamiqA high-level overview of pricing, key strengths, and use cases to help you choose the right tool fast.
SiteSpeak AI
Dynamiq
Go deeper into the specific capabilities, pros, cons, and integrations of both platforms.
SiteSpeak AI
Dynamiq
SiteSpeak AI is a no-code AI chatbot builder created by solo developer Herman Schutte and launched in 2023. It lets you train a custom AI agent on your website content, PDFs, help docs, and other sources in minutes. The platform deploys that agent as a live chat widget to handle customer support, capture leads, and automate actions around the clock—without writing a single line of code.
Dynamiq is an enterprise LLMOps platform founded in 2024 by Vitalii Duk and headquartered in San Francisco, California. It enables engineering and AI teams to build, deploy, monitor, and fine-tune AI agents and agentic workflows using a low-code visual interface, with support for on-premise, hybrid, and cloud deployments. The platform is SOC 2, GDPR, and HIPAA compliant — designed specifically for regulated industries that need full data ownership and governance.
• Custom AI Training — Feed the chatbot your website URL, PDFs, Notion pages, BookStack wikis, and YouTube videos; it learns your content automatically.
• Multi-Channel Deployment — Embed the chatbot on your website or connect it to Slack, Telegram, Discord, and WhatsApp from a single dashboard.
• Lead Capture — The AI identifies buying intent mid-conversation and collects visitor contact details without redirecting them to a separate form.
• Human Escalation — When the AI can't answer, it hands the conversation to a live agent with full chat history so nothing gets lost in the handoff.
• Analytics Dashboard — Track total conversations, AI resolution rate, average 1.2-second response time, and negative sentiment score in real time.
• 95+ Language Support — Automatically detects each visitor's language and responds natively, covering over 95 languages without any extra setup.
• Agent Actions — Connect the AI to external tools so it can book meetings, track orders, and complete tasks—not just answer questions.
• Brand Customization — Adjust colors, logo, avatar, welcome message, and personality to match your brand on every paid plan.
• Low-Code Workflow Builder — drag-and-drop canvas to visually compose multi-step agentic pipelines with LLM nodes, conditional logic, Python code blocks, RAG retrievals, and tool integrations; no deep ML engineering required.
• Multi-Model LLM Support — integrates natively with OpenAI, Anthropic Claude, Google Gemini, Meta Llama 2, Hugging Face, and Replicate; switch or combine models within a single workflow without rewriting logic.
• RAG Knowledge Bases — ingest PDFs, documents, and company data sources into vector databases in minutes; agents retrieve and cite your proprietary data rather than relying on generic LLM knowledge.
• Two-Click LLM Fine-Tuning — fine-tune open-source LLMs on your own datasets directly within the platform; models you build become your owned assets, not rented API endpoints.
• Guardrails & Output Validation — applies pre-built and custom validators to every LLM response to detect hallucinations, sensitive data exposure, PII leaks, and format violations before output reaches users.
• Observability & Evaluations — logs all agent interactions, tracks key performance metrics, runs large-scale LLM quality evaluations, and provides real-time debugging views so engineering teams can monitor production behavior precisely.
• On-Premise & VPC Deployment — runs entirely within your own corporate infrastructure, VPC, AWS, IBM Cloud, or IBM watsonx; satisfies strict regulatory requirements in finance, healthcare, and the public sector.
• Multi-Agent Orchestration — design and deploy networks of specialized LLM agents that collaborate on complex tasks, share context, and connect to internal APIs — all managed from a single visual interface.
SiteSpeak AI is built for small teams and growing businesses that need to automate frontline support without expanding headcount.
• Small business owners — can deploy a 24/7 chatbot trained on their site for $29/month, cutting hours of weekly repetitive support work.
• SaaS companies — benefit from the AI's ability to answer product-specific questions using help docs and changelogs, reducing ticket volume from day one.
• E-commerce stores — can connect via Shopify and WhatsApp so shoppers get order updates and product answers without leaving their preferred channel.
• Agencies — can use the white-label program on the Growth plan to build and deliver fully branded AI chatbots to clients under a custom domain.
• Content-heavy publishers — with large documentation sites or knowledge bases will find the AI scrapes and understands all of it without manual tagging.
Dynamiq is built for technical teams at mid-size to large organizations that need to deploy reliable, compliant AI agents without assembling a dedicated ML infrastructure team from scratch.
• Enterprise AI and engineering teams — need a single platform to prototype, deploy, monitor, and fine-tune agentic workflows without managing separate MLOps, vector DB, and observability tools.
• Finance, healthcare, and public sector organizations — require on-premise or VPC deployment to satisfy SOC 2, GDPR, and HIPAA requirements before any AI touches sensitive customer or patient data.
• AI architects and product managers with technical backgrounds — use the low-code canvas to design full agentic pipelines and test LLM outputs without writing infrastructure code, while data engineers extend logic using Python nodes.
• Enterprises exploring LLM ownership — want to fine-tune and own open-source LLMs on proprietary data rather than paying indefinite per-token fees to third-party API providers.
Free ($0/mo): 30 message credits/month, 1 AI Agent, 10 training sources, Basic AI models only, Live chat widget.
Starter ($29/mo): 2,000 message credits/month, 1 AI Agent, 200 training sources, Lead capture, Remove 'Powered By' branding, Monthly auto-sync.
Pro ($79/mo): 7,500 message credits/month, 5 AI Agents, 2,500 training sources, All AI models + BYOK (Bring Your Own Keys), WhatsApp & HubSpot integration, API & MCP Server access.
Growth ($249/mo): 20,000 message credits/month, 15 AI Agents, 8,000 training sources, 15 actions per agent, Custom domain, Daily auto-sync.
Business ($499/mo): 50,000 message credits/month, Unlimited AI Agents, 20,000 training sources, 15 actions per agent, Dedicated onboarding, Priority support.
Free ($0/mo): 1 user, 1 deployed workflow, 1 RAG knowledge base, 1,000 workflow executions per month, community-based customer support.
Solo ($29/mo): 1 user, 5 deployed workflows, 5 RAG knowledge bases, 10,000 workflow executions per month, email-based customer support.
Growth ($975/mo): 10 users, 20 deployed workflows, 20 RAG knowledge bases, 20 fine-tuned models, 100,000 workflow executions per month, email-based customer support.
Enterprise (Custom Pricing): On-premise and VPC deployment, dedicated infrastructure within your own cloud environment, PII protection and data residency controls, fine-grain access controls and user permissions, priority support with SLA guarantees, custom execution and user limits.
SiteSpeak AI goes beyond basic chatbot builders with several capabilities that meaningfully separate it from simpler tools.
• MCP Server Access — Available on the Pro plan and above, this lets developers connect the AI agent to external systems via the Model Context Protocol, enabling deeper real-time integrations than standard REST APIs allow.
• Bring Your Own Keys (BYOK) — Pro+ users can supply their own OpenAI, Anthropic, Google, or xAI API keys, giving direct cost control and full model flexibility without being locked into platform-level rate limits.
• Page Context Awareness — The chatbot detects which page of your site a visitor is currently viewing and tailors its responses accordingly, making answers more relevant with zero extra configuration.
• Built-In ROI Calculator — The homepage features a live calculator where you enter your current support volume and hourly cost to see exact monthly savings before signing up—a rare pre-purchase transparency feature.
Dynamiq stands apart from generic no-code AI builders through its enterprise-first architecture — combining on-premise deployment, LLM ownership via fine-tuning, and a full observability stack in a single low-code platform.
• On-Premise and VPC Deployment as a Standard Feature — most LLMOps and AI agent platforms are cloud-only; Dynamiq supports deployment inside your own VPC, AWS environment, IBM Cloud, or IBM watsonx, making it one of the few platforms where regulated-industry teams can run AI agents without sending data off-premises.
• Two-Click LLM Fine-Tuning with Ownership — rather than just calling external LLM APIs, Dynamiq lets you fine-tune open-source models on your own data directly in the platform and retain them as owned assets; this transitions teams from paying per-token rental fees to building proprietary AI models.
• Full LLMOps Lifecycle in One Platform — most tools specialize in either building (workflow canvas), deploying (serving infrastructure), or monitoring (observability); Dynamiq handles prototype, test, deploy, observe, and fine-tune in a single workspace, eliminating the 4–6 tool stack most enterprise AI teams currently manage.
• Guaranteed Structured Output — LLMs are forced to follow a set output format (JSON, YAML, etc.) at the platform level rather than relying on prompt engineering alone; this is critical for enterprise workflows where downstream systems depend on predictable, parseable AI responses.
SiteSpeak AI connects with a wide range of platforms and tools so it fits into your existing stack without friction.
• Website Platforms — Embed on any HTML site, WordPress, Shopify, or Webflow using a single line of code; no dedicated plugin is required for most installs.
• Messaging Apps — Native integrations with Slack, Telegram, Discord, and WhatsApp let your AI agent live where your customers already communicate.
• CRM & Productivity Tools — HubSpot integration (Pro+) syncs lead data directly to your CRM; Notion and BookStack connections (Starter+) let the chatbot train on your internal wikis.
• Automation & Developer APIs — Zapier (Pro+) enables no-code workflow automation; the REST API and MCP Server (Pro+) support fully custom developer integrations and agentic pipelines.
Dynamiq integrates with major LLM providers, cloud infrastructure environments, and enterprise data systems for end-to-end agentic AI deployment.
• LLM Providers — connects natively to OpenAI (GPT-4o, GPT-4), Anthropic (Claude 3.5), Google Gemini, Meta Llama 2, Hugging Face models, and Replicate; multiple models can be combined within a single workflow.
• Cloud & Infrastructure Deployment — supports cloud-native SaaS, on-premise VPC, AWS, IBM Cloud, and IBM watsonx catalog deployment; Dedicated Infrastructure mode keeps all fine-tuning and model serving within your own environment.
• Vector Databases & RAG Data Sources — ingests PDFs, documents, and structured data into built-in vector storage; supports integration with external vector DBs for teams with existing data infrastructure.
• Internal APIs & Enterprise Systems — AI Actions and Python code nodes connect agents to any internal REST API, database, or third-party service; the AgentOps layer manages API connections and tool calls for multi-agent orchestration at scale.
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