Build and deploy intelligent AI agents trained on your data — no code, no friction.
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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.
Pagergpt AI
Dynamiq
Go deeper into the specific capabilities, pros, cons, and integrations of both platforms.
Pagergpt AI
Dynamiq
Pagergpt is a no-code AI agent platform that lets businesses build, train, and deploy intelligent customer-facing agents in minutes. It trains on your website, documents, and connected apps, then resolves up to 90% of support queries automatically. The platform targets customer support, sales, and lead generation teams across industries.
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.
• Agent Studio — A four-step no-code builder (Train, Customize, Integrate, Deploy) that gets your AI agent live in under 7 days.
• Multi-Channel Deployment — Deploy your agent on your website, WhatsApp, Slack, Microsoft Teams, and Facebook Messenger from a single dashboard.
• 90+ Integrations — Native connections to Zendesk, HubSpot, Stripe, Calendly, Freshdesk, Pipedrive, Shopify, and more for real task automation.
• Action Automation — Agents perform actual tasks like creating support tickets, processing refunds, and booking meetings — not just answering questions.
• Live Chat Inbox — A shared real-time inbox with team mentions, human escalation, and instant alerts so no query falls through the cracks.
• AI Analytics Dashboard — Tracks resolution rates, sentiment scores, unanswered queries, and 20+ visitor data points for continuous improvement.
• AI Security and Guardrails — Built-in hallucination controls, topic restrictions, and policy enforcement to keep agent responses accurate and on-brand.
• 95+ Language Support — Responds to customers in over 95 languages, enabling global deployment without separate localization workflows.
• 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.
Pagergpt is built for teams that need automated, context-aware customer interactions at scale without a developer.
• E-commerce businesses — Automate order tracking, refund handling, and product queries using Shopify and Stripe integrations without burdening support staff.
• SaaS customer support teams — Deflect repetitive tier-1 tickets automatically and route complex cases to human agents via the Live Chat Inbox.
• B2B sales and marketing teams — Use lead capture workflows and CRM integrations with HubSpot or Pipedrive to qualify and route prospects 24/7.
• Enterprise compliance teams — Leverage ISO 27001, SOC II, and GDPR certifications along with private hosting, SSO, and RBAC on the Enterprise plan.
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.
Magic Plan ($0/mo): 25 AI Chat Sessions per month, train up to 1 Million Characters, 1 AI Agent, 1 Action, Lead Capture, AI Analytics & Dashboard, Chat channel integrations, Live Chat Inbox included, AI Sentiment Analysis, AI Security & Guardrails, 30 days Data Retention.
Starter Plan ($99/mo): 200 AI Chat Sessions per month, train up to 3 Million Characters, 1 AI Agent, 2 Actions, 1 Admin/Live Agent, 30 days Data Retention, Branding removed, AI Sentiment Analysis, AI Suggestions, Live Chat Inbox available as a paid add-on.
Business Plan ($349/mo): 500 AI Chat Sessions per month, train up to 10 Million Characters, 2 AI Agents, 5 Actions, 3 Admins/Live Agents, 60 days Data Retention, Live Chat Inbox included, AI Sentiment Analysis, AI Suggestions, Onboarding assistance included.
Enterprise Plan (Custom Pricing): Everything in the Business plan, custom number of AI Sessions and Actions, custom app integrations, higher training character limits, more Live Agents, train AI on images and advanced documents, dedicated customer success manager, security review, priority support, private hosting, MFA, RBAC, SSO, SIEM Integration, 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.
Pagergpt stands apart from basic chatbot builders through its combination of real task execution, enterprise-grade security, and session-based pricing transparency.
• Agentic RAG with sub-agents — Uses specialized sub-agents to ground responses in company data, reducing hallucinations and achieving up to 80% resolution accuracy on repetitive queries.
• Action Automation beyond Q&A — Unlike most chatbot platforms, pagergpt agents can execute transactional tasks like processing refunds, creating Zendesk tickets, or booking Calendly meetings directly inside a conversation.
• ISO 27001 + SOC II + GDPR triple compliance — Few no-code chatbot builders at this price point carry all three certifications, making pagergpt viable for regulated industries and EU-facing businesses.</p>
• Session-based pricing with unlimited messages per session — You pay per conversation, not per message, so lengthy support interactions don't inflate your bill unexpectedly.
• AI Co-pilot for human agents — Surfaces past chats, relevant documents, and suggested replies in real time for live agents handling escalated tickets, speeding up resolution without full automation.
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.
Pagergpt integrates with the tools your team already uses across support, sales, payments, and communication channels.
• CRM and Helpdesk — Zendesk, Freshdesk, Zoho Desk, HubSpot, and Pipedrive for automated ticket creation, lead routing, and CRM updates directly from chat.
• Payments and Scheduling — Stripe for payment processing and refund handling; Calendly and Cal.com for in-chat meeting booking without leaving the conversation.
• Messaging and Communication Channels — WhatsApp, Facebook Messenger, Slack, Microsoft Teams, and website embed for simultaneous multi-channel deployment.
• Knowledge and Document Sources — Connect Google Drive, SharePoint, Notion, and Zendesk knowledge bases, or upload PDFs, DOCX, XLSX, PPTX, and HTML files to train the agent.
• E-commerce — Shopify integration enables order tracking, product queries, and post-purchase support automation for online stores.
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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