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Dynamiq

Dynamiq

Build, deploy, and monitor enterprise-grade AI agents and agentic workflows — all in your own infrastructure.

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LiveAgent

LiveAgent

All-in-one AI-powered help desk — live chat, ticketing, call center, and social media in a single inbox.

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Quick Comparison: Dynamiq vs LiveAgent

A high-level overview of pricing, key strengths, and use cases to help you choose the right tool fast.

Features
Dynamiq
LiveAgent
Quick View
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…
LiveAgent is an all-in-one AI-powered help desk platform built by Quality Unit, a Slovak software company founded in 2004. It unifies live chat, email ticketing,…
Pricing
Freemium: Starting at $29/mo
Free Trial: Starting at $15/mo
Key Strength
• Low-Code Workflow Builder — drag-and-drop canvas to visually compose multi-step agentic pipelines with LLM nodes, conditional logic, Python code…
• Universal Inbox — centralizes email, live chat, phone calls, WhatsApp, Viber, Telegram, and social media into one dashboard, so…
Best For
Dynamiq is built for technical teams at mid-size to large organizations that need to deploy reliable, compliant AI agents without…
LiveAgent is best suited for customer-facing teams that handle high volumes of support requests across multiple channels simultaneously. • Small…

Detailed Feature Breakdown

Go deeper into the specific capabilities, pros, cons, and integrations of both platforms.

Features
Dynamiq
LiveAgent
Overview

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.

LiveAgent is an all-in-one AI-powered help desk platform built by Quality Unit, a Slovak software company founded in 2004. It unifies live chat, email ticketing, a built-in call center, social media support, and an AI chatbot into a single dashboard. Over 40,000 companies use it to manage customer support across 175+ features and 200+ integrations.

Key Features

• 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.

• Universal Inbox — centralizes email, live chat, phone calls, WhatsApp, Viber, Telegram, and social media into one dashboard, so agents never switch apps to answer customers.

• AI Chatbot (FlowHunt-powered) — handles FAQs autonomously 24/7 in 100+ languages using your knowledge base; escalates complex queries to human agents with full context intact.

• AI Answer Assistant — sits inside the ticket view and helps agents draft replies faster, cutting response time on repetitive support questions.

• Built-in Call Center with IVR — lets agents handle inbound and outbound voice calls directly from the help desk with intelligent routing; no separate telephony platform required.

• Hybrid Ticket Stream — stitches every message about a single issue — chat, email, and phone — into one unified thread so agents always have full conversation history.

• Knowledge Base & Customer Portal — lets you publish help articles, FAQs, and community forums so customers resolve common issues without contacting support.

• Automation Rules & Time Rules — auto-route tickets, trigger SLA alerts, and schedule follow-ups based on custom conditions you define without writing code.

• Reports & Agent Ratings — gives managers real-time performance dashboards, SLA compliance tracking, and per-agent customer satisfaction scores.

Pros
  • On-premise and VPC deployment satisfies HIPAA, SOC 2, and GDPR compliance out of the box — rare at this price point
  • Supports OpenAI, Anthropic, Gemini, Llama 2, Hugging Face, and Replicate in one platform — no single-vendor lock-in
  • Two-click LLM fine-tuning lets teams own their models rather than paying per-token rental fees indefinitely
  • Low-code canvas reduces a 6-month AI development cycle to hours according to company-published benchmarks
  • Built-in guardrails prevent PII leaks, hallucinations, and format violations before output ever reaches end users
  • Free plan includes 1 deployed workflow and 1,000 executions per month — enough to meaningfully evaluate the platform
  • Forbes-covered and pre-seed funded in 2024, signaling early enterprise validation from credible third parties
  • 30-day free trial requires no credit card, so you can test the full platform risk-free
  • 175+ features and 200+ integrations including Shopify, HubSpot, Salesforce, Slack, and Zapier
  • Built-in call center with IVR eliminates the need for a separate voice platform on any paid plan
  • AI chatbot operates 24/7 in 100+ languages via FlowHunt integration trained on your own data
  • Hybrid Ticket Stream links chat, email, and phone conversations into one thread per customer issue
  • Supports WhatsApp, Telegram, Viber, Facebook, Instagram, and X for true omnichannel coverage
  • Concierge migration service handles the move from your existing help desk at no extra cost
Cons
  • Growth plan jumps to $975/month — a steep step up from Solo at $29/month with no mid-tier option in between
  • Fine-tuning and multi-user collaboration are locked behind the $975/month Growth plan, excluding solo developers and small teams
  • The platform was founded in 2024 and is still early-stage — long-term reliability and roadmap maturity remain unproven vs. established LLMOps competitors
  • Enterprise pricing is not publicly listed, requiring a sales call before you can evaluate total cost of ownership
  • Community and email-only support on Free and Solo plans; dedicated support requires enterprise engagement
  • With 11–50 employees, the team is small relative to the complexity of enterprise deployments it targets
  • Facebook, X, and Instagram integrations cost an extra $39/month each on Small and Medium plans — that adds up fast
  • AI chatbot requires a separate FlowHunt integration; it is not natively embedded and needs initial setup
  • Proactive chat invitations are locked to the $29/mo Medium plan and above, limiting the entry-level tier
  • SSO and custom roles only unlock on the Large plan at $49/agent/month, which may force premature upgrades
  • Per-agent pricing scales steeply for larger teams — a 10-agent enterprise team costs $690/month minimum
  • Mobile app does not match the full feature set available on the web dashboard
Best For

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.

LiveAgent is best suited for customer-facing teams that handle high volumes of support requests across multiple channels simultaneously.

• Small and mid-size businesses — need one affordable platform for email, chat, and phone without paying for separate tools.

• E-commerce companies — benefit from WhatsApp, Instagram, and Shopify integrations that let agents pull order data and resolve social DMs in one view.

• SaaS and tech startups — use the AI chatbot and knowledge base to deflect repetitive questions and scale support without adding headcount.

• Customer support managers — rely on SLA tracking, agent ratings, and real-time reports to monitor team performance and spot bottlenecks early.

Pricing Details

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.

Small Business ($15/agent/mo billed annually): Ticketing with 3 email accounts, live chat (2 buttons), knowledge base and customer portal, contact forms, automation rules, AI Answer Assistant, AI Chatbot, multiple language support.

Medium Business ($29/agent/mo billed annually): Everything in Small, plus built-in call center with IVR, service level agreements (SLA), time rules, performance reports, proactive chat invitations, agent ratings, sound configuration, 5 live chat buttons, 10 email accounts.

Large Business ($49/agent/mo billed annually): Everything in Medium, plus SSO, custom roles, time tracking, audit log, Facebook, Instagram, X, Viber, Telegram (3 bots), WhatsApp (3 numbers), 50 live chat buttons, 150 email accounts.

Enterprise ($69/agent/mo billed annually): Everything in Large, plus dedicated account manager, priority support, assisted channels integration, branding-free option, custom billing setup, service review calls and reports, scheduled release management.

Unique Features

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.

LiveAgent combines features that most help desks split across multiple paid tools, making it unusually complete at a single price point.

• Hybrid Ticket Stream — stitches chat, email, and phone conversations about the same customer issue into one thread; agents see the full history without switching apps or re-reading context.

• Native Built-in Call Center — most help desk platforms charge extra for telephony or require a Twilio integration; LiveAgent includes a full call center with IVR and call recording on every paid plan.

• FlowHunt-powered AI Chatbot embedded in live chat — the chatbot is trained on your own knowledge base and documents, supports multi-step workflows, and hands off to human agents with complete context rather than starting a new thread.

• Concierge Migration Service — LiveAgent's support team handles the data migration from your existing help desk platform, removing the biggest switching cost for businesses moving from competitors.

Integrations

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.

LiveAgent supports 200+ integrations covering CRM, e-commerce, communication, and productivity tools.

• CRM & Sales — integrates with Salesforce, HubSpot, and Pipedrive to sync customer records and deal data directly into support tickets.

• E-Commerce — connects with Shopify, WooCommerce, and Magento to display order details inside tickets, so agents resolve purchase issues without switching tabs.

• Automation & Productivity — works with Zapier, Slack, and Google Analytics to trigger cross-app workflows, send team notifications, and track conversion events from support interactions.

• Messaging & Social Channels — natively supports WhatsApp (via Twilio or 360dialog), Telegram, Viber, Facebook, Instagram, and X, consolidating all messaging platforms into the unified inbox.

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Frequently Asked Questions

Expert Verdict

Final Analysis: Which is better?

After testing both platforms: choose Dynamiq (Freemium: Starting at $29/mo) if you prioritize Dynamiq is built for technical teams at mid-size to large organizations that need to deploy.. Choose LiveAgent (Free Trial: Starting at $15/mo) if you need LiveAgent is best suited for customer-facing teams that handle high volumes of support requests across.. Both are reliable AI tool options, but they optimize for different user profiles.

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