Turn your website into a 24/7 AI sales agent that qualifies visitors, captures leads, and books meetings — built for HubSpot-first teams.
Try Expertise 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.
Expertise AI
Dynamiq
Go deeper into the specific capabilities, pros, cons, and integrations of both platforms.
Expertise AI
Dynamiq
Expertise AI (formerly Chatsimple) is an AI sales agent platform founded in June 2023 by Hao Sheng in Toronto, Canada. It enables B2B businesses to deploy a sales-first AI agent on their website that qualifies visitors, captures leads, books meetings, and syncs conversations directly into HubSpot, Salesforce, or Marketo — without human involvement. The platform is SOC 2 Type II and GDPR compliant and holds a 4.9 rating across review platforms.
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.
• AI Sales Conversations — the agent engages website visitors in natural, multi-turn sales conversations, handles nuanced questions, and guides buyers to the next funnel step without following rigid scripts or breaking on off-topic queries.
• Real-Time Microsites — dynamically generates personalized in-chat landing pages showing the most relevant text, visuals, and videos for each visitor, then directs them to the right HubSpot form or calendar to book.
• Visitor Intelligence — identifies who is on your site, enriches conversations with company and contact context, and passes structured lead data to your CRM so sales reps can launch smart, personalized follow-ups immediately.
• Proactive Live Chat & Human Handoff — monitors ICP fit and intent signals in real time; when thresholds are met, it alerts the right sales rep via HubSpot, Slack, or Microsoft Teams to take over the conversation at peak intent.
• HubSpot-Native CRM Sync — creates contacts, logs conversation activities, routes leads via LeanData, opens tickets, and updates records in HubSpot automatically; no manual data entry or third-party sync tool required.
• Voice AI — lets website visitors speak their questions instead of typing, reducing drop-off for high-intent visitors and providing instant voice-driven answers from the AI agent's knowledge base.
• AI Playbooks — lets teams encode their best qualification and outbound strategies into the AI in plain language; the agent executes those playbooks on every visitor conversation without deviation.
• Multi-Channel Messaging — deploys the AI agent across website chat, WhatsApp, Instagram DMs, and Facebook Messenger from a single configuration, keeping lead capture consistent across every buyer touchpoint.
• 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.
Expertise AI is purpose-built for revenue and customer experience teams that need their website to generate and qualify pipeline automatically — not just answer support questions.
• B2B SaaS and professional services companies — use the AI agent to engage high-intent traffic 24/7, qualify visitors against ICP criteria, and book discovery calls directly to reps' calendars without human involvement.
• HubSpot-centric marketing and sales teams — benefit from native CRM sync, LeanData routing, and HubSpot ticketing that eliminate manual lead entry and keep every conversation trackable in existing workflows.
• Customer experience managers at mid-size businesses — deploy the agent to handle tier-1 support questions autonomously (documented at 90–99% resolution rates), reducing live-chat headcount demand while improving response speed.
• E-commerce and event brands with high-volume repetitive queries — use the knowledge base and voice AI to resolve product, order, and registration questions around the clock without scaling support staff proportionally.
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): 1 AI Agent, AI-powered conversations, training materials — suitable for initial evaluation only.
Growth ($400/mo billed annually): 1 AI Agent, AI-powered conversations, training materials, HubSpot Integration (one-way), HubSpot Live Chat — ideal for small teams starting to capture leads via their website.
Business ($1,250/mo billed annually): Everything in Growth, plus Proactive Live Chat HS (alerts reps at peak intent), HubSpot 2-way sync, Visitor Intelligence (identifies and enriches anonymous visitors), Voice AI, 3 AI Playbooks for custom sales qualification workflows, Zapier integration, Webhook support.
Enterprise (Starting at $3,000/mo billed annually): Everything in Business, plus Custom AI Agents, HubSpot + Salesforce integration, SSO, Marketo, LeanData, Active Engagement, Custom Playbooks (unlimited), API access, Server Hosting, Custom Data Retention.
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.
Expertise AI stands out from generic live chat and chatbot platforms through its sales-first design philosophy, HubSpot-native architecture, and documented revenue impact across a wide library of published customer case studies.
• Sales-First AI vs. Support-First Chatbot — while most chat platforms are built to deflect tickets, Expertise AI's agent is trained to advance the buyer journey: it qualifies ICP fit, recommends content, handles objections, and routes to a booking — behaviors that a traditional rule-based chatbot simply cannot replicate.
• Real-Time Microsites Inside Chat — instead of linking visitors away to a landing page, Expertise AI generates a personalized, dynamic microsite directly inside the chat window showing the most relevant content for that specific visitor; this keeps buyers in the conversation and reduces drop-off at the intent moment.
• Visitor Intelligence with CRM Enrichment — the platform identifies anonymous website visitors by company and contact data, enriches the live conversation with that context, and passes it to HubSpot or Salesforce automatically; this turns previously anonymous traffic into named pipeline without requiring the visitor to fill out a form first.
• Proactive Rep Alert at Peak Intent — rather than waiting for a visitor to request a human, Expertise AI actively monitors ICP fit and engagement signals and alerts the right sales rep via Slack, Teams, or HubSpot the moment intent is highest — enabling warm, perfectly-timed human takeovers that cold transfers cannot replicate.
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.
Expertise AI connects natively to the CRM, marketing automation, messaging, and scheduling tools that B2B revenue teams already use.
• CRM & Revenue Platforms — deep native integrations with HubSpot (contacts, activities, tickets, workflows) and Salesforce (lead sync, record updates); LeanData integration routes new leads instantly to the correct sales rep based on your existing routing rules.
• Marketing Automation — syncs form fills and lead data to Marketo for automated nurture sequences; Zapier integration connects to 6,000+ additional apps and workflow tools without custom development.
• Messaging & Social Channels — deploys across website chat widget, WhatsApp Business, Instagram DMs, and Facebook Messenger from a single agent configuration; all conversations centralize into the same analytics and CRM sync pipeline.
• Scheduling & Human Handoff — Google Calendar integration books meetings directly inside chat conversations; Slack and Microsoft Teams integrations deliver real-time rep alerts with conversation context when human handoff is triggered.
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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Turn your website into a 24/7 AI sales agent that qualifies visitors, captures leads, and books meetings — built for HubSpot-first teams.
Build, deploy, and monitor enterprise-grade AI agents and agentic workflows — all in your own infrastructure.
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