Dynamiq is live · free plan; paid plans on request · last verified 24 Oct 2026 · viability healthy
Dynamiq
Dynamiq is a self-hosted agentic AI platform for building voice and workflow agents that run inside your own cloud or data center.
Pick Dynamiq when a regulator, a residency rule, or an internal security review decides which AI tools ship—its approval gates, per-agent audit trail, and bring-your-own-Kubernetes deployment are built for that constraint, not retrofitted to it. Teams that just want an agent live this afternoon will find less friction elsewhere. The $0 Free plan removes the evaluation risk: build the first agent on Dynamiq Cloud before committing to an Enterprise contract.
Verdict generatedVerified 6d ago · liveness 73/100 · cite: rightaichoice.com/tools/dynamiq
- Regulated enterprises with data-residency or sovereignty requirements
- Financial services, insurance, government, telecom and healthcare teams
- Back-office and finance operations running approval-gated workflows
- Customer support teams deploying voice and chat agents
- Individuals or small teams wanting a zero-infrastructure, no-DevOps start
- Organisations with no data-residency or compliance driver
- Buyers who want someone else to run, patch and scale the deployment
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Skip Dynamiq if you have no data-residency or compliance driver and want an agent platform someone else runs, patches and scales for you.
The Free plan caps resources like apps and knowledge bases plus monthly activity such as chat messages, app runs and knowledge base ingestions; going past those limits pushes you toward a paid plan.
Dynamiq splits into a $0 Free workspace and a custom-priced Enterprise plan. The $0 Free tier covers a Dynamiq Cloud workspace, canvas and Python building, core platform features within usage limits, and the Apache-2.0 SDK free forever — enough to build a first agent without a procurement cycle. Enterprise adds self-hosting, SSO, roles, retention controls, BAA and DPA, forward-deployed engineers, and support with an agreed SLA, priced custom. Cheaper open-source canvas tools like Dify, Flowise
In short
Dynamiq — Dynamiq is a self-hosted agentic AI platform for building voice and workflow agents that run inside your own cloud or data center. Best for Regulated enterprises with data-residency or sovereignty requirements, Financial services, insurance, government, telecom and healthcare teams, Back-office and finance operations running approval-gated workflows. Free to start; it also has paid plans whose price we could not confirm — see the pricing table.
What is Dynamiq?
Dynamiq — Dynamiq is a self-hosted agentic AI platform for building voice and workflow agents that run inside your own cloud or data center. Best for Regulated enterprises with data-residency or sovereignty requirements, Financial services, insurance, government, telecom and healthcare teams, Back-office and finance operations running approval-gated workflows. Free to start; it also has paid plans whose price we could not confirm — see the pricing table.
Dynamiq is a unified agentic AI platform for teams that need agents, traces, and customer data to stay on infrastructure they control. Regulatory and data-residency constraints are the design brief here, not an afterthought: agents run in Dynamiq Cloud, your own cloud account, or your data center on any Kubernetes 1.32+ cluster, with isolated environments delivered by Dynamiq's own engineers. The build surface is one engine whether you work on the visual canvas or in the Apache-2.0 Python SDK (pip install dynamiq). Agents ship as APIs, widgets, and scheduled jobs. Knowledge and data covers retrieval, knowledge graphs, and document parsing; the AI Gateway spans 29 model providers plus inference and fine-tuning; integrations run to 2,100+ apps, MCP servers, and databases. Governance is a first-class module. Guardrails detect PII and prompt injection and can pause an agent for human approval, evals run offline, in real time, or as voice simulations, observability traces every run and surfaces AI-found issues, and each agent carries an audit trail of policies and approvals. Two agent types carry the demo load: AI Coworker, which gives an agent its own computer inside the browser, Slack, Teams, and Telegram, and Voice Agents running real-time conversation on phone lines and inside apps. Deployments ship with SOC 2, HIPAA, GDPR, and CASA Tier 2 controls plus BAA and DPA. Enterprise engagements include forward-deployed engineers who run a bootcamp in your environment and hand over a working production agent—an Asian neo-bank automated roughly 85% of support inquiries and went live in 30 days. Against Dify, Flowise, and Langflow, Dynamiq trades community scale and quick stand-up for approval gates, per-agent audit trails, and self-hosting that survives a security review.
Key features
- AI Coworker agent with its own computer, working in browser, Slack, Teams and Telegram
- Real-time Voice Agents on phone lines and inside apps
- Agent Builder: visual canvas or Python on one engine
- Ship agents as APIs, widgets and scheduled jobs
- Knowledge Retrieval, knowledge graphs and document parsing
- 2,100+ app integrations, MCP servers and databases
- AI Gateway across 29 model providers with inference and fine-tuning
- Guardrails that detect PII and prompt injection
- Human approval gates that pause an agent mid-run
- Offline, real-time and voice simulation evals
- Observability with traces, monitoring and AI-found issues
- Per-agent audit trail of policies and approvals
- Cost-aware multi-agent workflow design (IBM watsonx Orchestrate)
- Self-hosting on any Kubernetes 1.32+ cluster, isolated environments
- Open-source Apache-2.0 Python SDK (pip install dynamiq)
Behind the verdict
The pitch here is narrow and honest: agents on infrastructure you control, with the models you choose, under your rules. That is a different sale from a hosted agent builder, and it changes who should even open the tab. Reach for Dynamiq when a data-residency rule, a customer contract, or a security review names the constraint before the use case does. Financial services, insurance, government, telecom, and healthcare teams fit that mold, as do back-office and finance operations where nothing posts to the ledger without a person clicking approve. The approval-gate pattern is the part we would demo to a skeptical risk officer: a reconciliation agent drafts the breaks report, and finance ops sign off before anything moves. Where it earns its keep is the boring layer beneath the shiny one. Per-agent audit trails, retention and deletion controls, SSO with projects and roles, and a BAA and DPA on top of SOC 2, HIPAA, GDPR, and CASA Tier 2. Anyone who has tried to smuggle a managed-cloud agent tool through procurement knows how much of the timeline that consumes. Pass if you have no compliance driver, no DevOps capacity for a Kubernetes 1.32+ cluster, or want a vendor to patch and scale the deployment for you. A solo builder or a five-person startup should not be standing up isolated environments in their own data center. In practice, the self-hosted path is an implementation project, not a signup. Enterprise engagements pair you with forward-deployed engineers who bootcamp in your environment, build the first production agent, and hand it over—useful if you have the internal team to receive it, awkward if you do not. Against Dify, Flowise, and Langflow, the tradeoff is clear: those are open-source community projects with faster time-to-first-agent and wider plugin
Models under the hood
as of 2026-10-24
Limitations
- Dynamiq is a self-hosted, enterprise-oriented agentic platform: it runs on your cloud or data center (Kubernetes 1.32+) or via an Enterprise engagement where forward-deployed engineers build a working agent in your environment, so full value assumes infrastructure/DevOps capability or a scoped engagement.
- It targets enterprise and regulated use cases (Financial services, Insurance, Government, Healthcare) with governance, approvals and audit trails, making it a poor fit for lightweight personal projects.
- Model choice is provider-agnostic — the evidence describes an AI Gateway spanning 29 model providers with inference and fine-tuning rather than naming specific underlying models.
- The evidence is largely marketing/navigation content: pricing tiers and their exact feature splits, documentation depth, and release cadence could not be verified from this run, so treat those as things to confirm directly.
as of 2026-10-05
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Is Dynamiq still active?
Dynamiq is live · free plan; paid plans on request · last verified 24 Oct 2026 · viability healthy.
Viability score
How well maintained and how widely used is Dynamiq? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Dynamiq?
What people actually say about Dynamiq — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 6 sources (Hacker News, YouTube, Product Hunt, Stack Overflow, GitHub, Lemmy) · researched Sep 9, 2026.
Weighted by the 59 posts each of 6 sources contributed.
- +Self-hosted option fits enterprises needing data privacy and compliance.
- +Covers development lifecycle: prototype, test, deploy, monitor in one.
- +Visual workflow builder aids building agentic AI without deep coding.
- +Knowledge and RAG management centralizes data for better LLM output.
- +Two-click fine-tuning of open-source LLMs on proprietary data.
- −No independent community reviews validate performance or reliability claims.
- −Product Hunt comments mostly come from insiders and the founding team.
- −Pricing unavailable publicly; contact-based model complicates comparison.
- −Community data often misfires with other 'Dynamiq' products (cars, chairs).
- −Might be overkill for small teams or basic chatbots; other simpler tools exist.
- • Infrastructure and DevOps costs not included — you host it yourself
- • Professional services or integration effort may add significant expense
- • Licensing and per-seat or per-use costs are not disclosed
How we verified this
Every listed fact about Dynamiq— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 24 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Dynamiq 11 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed description, our verdict, features, summary, pricing tiers
- — changed platforms, limitations, pricing page
- — changed who should skip it, pricing fit, use cases, summary, our verdict, hidden costs, integrations, limitations, switching in, who it suits, switching out, description, models, features, pricing tiers, setup time
- — changed SSL certificate
- — changed our verdict, who it suits, features, pricing model, who should skip it, summary, description, limitations
- — changed switching in, description, hidden costs, switching out, pricing fit, setup time, who should skip it, our verdict, features, summary
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Dynamiq cost in 2026?
Dynamiq: Free to start; it also has paid plans whose price we could not confirm — see the pricing table. Pricing last verified 24 Oct 2026.
Plans compared
Every published Dynamiq tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | Individuals and teams building their first agent who want to evaluate the canvas, Python engine and core platform features before a procurement cycle.Adds: Starting tier at $0: a Dynamiq Cloud workspace, canvas or Python building, core features within usage limits, plus the Apache-2.0 SDK free forever. |
| Enterprise | Custom | quote | Regulated teams moving agents into production who need their own infrastructure, a security review path, and engineering help to get live.Adds: Adds self-hosting in your cloud or data center on Kubernetes 1.32+, isolated environments, SSO/roles/retention controls, SOC 2, HIPAA, GDPR and CASA Tier 2 with BAA and DPA, forward-deployed engineers, and support with an agreed SLA. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Dynamiq's pricing actually pencils out — and where peers do it cheaper.
Dynamiq splits into a $0 Free workspace and a custom-priced Enterprise plan. The $0 Free tier covers a Dynamiq Cloud workspace, canvas and Python building, core platform features within usage limits, and the Apache-2.0 SDK free forever — enough to build a first agent without a procurement cycle. Enterprise adds self-hosting, SSO, roles, retention controls, BAA and DPA, forward-deployed engineers, and support with an agreed SLA, priced custom. Cheaper open-source canvas tools like Dify, Flowise
Has Dynamiq's pricing changed?
No plan price for Dynamiq has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Dynamiq?
Pick Dynamiq if you are Regulated enterprises with data-residency or sovereignty requirements, Financial services, insurance, government, telecom and healthcare teams, Back-office and finance operations running approval-gated workflows, Customer support teams deploying voice and chat agents.
Look elsewhere if you are Individuals or small teams wanting a zero-infrastructure, no-DevOps start, Organisations with no data-residency or compliance driver, Buyers who want someone else to run, patch and scale the deployment, Teams that need hundreds of pre-wired third-party connectors out of the box.
Skip it if Skip Dynamiq if you have no data-residency or compliance driver and want an agent platform someone else runs, patches and scales for you.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Dynamiq actually fits — and what changes day-one when you adopt it.
A settlements reconciliation agent reads three SFTP settlement files, queries 18,402 general ledger entries, matches transactions in a Python sandbox, drafts a breaks report flagging anything over $1,000, then stops at an approval gate before posting to the ledger.
Outcome: Finance ops reviews two flagged breaks and approves; every step is traced, and the posted entry carries an audit record.
An inbound Voice Agent answers a card-services call, verifies the caller with two checks, looks up the card in core banking, checks the travel policy, lifts the travel block, confirms by text and logs the case in the CRM.
Outcome: The call resolves in about 1m 52s with no handoff, and the full trace is available for review.
An alert-triage agent gathers 90 days of activity across 214 transactions, screens the counterparty against sanctions lists, reads the KYC file, drafts a disposition with six cited sources, and routes it to an analyst for sign-off.
Outcome: The analyst receives a recommendation — close, not suspicious — with the underlying evidence cited and every step traced.
Use cases
- Automate settlements reconciliation: read SFTP files, query the general ledger, match transactions in Python, and draft a breaks report for finance ops approval
- Run inbound card-services voice agents that verify a caller, check policy, lift a travel block and log the case without a handoff
- Triage transaction-monitoring alerts with cited sources and route the disposition to an analyst for sign-off
- Build research and knowledge assistants over internal knowledge bases, knowledge graphs and parsed documents
- Automate accounts payable, invoices, document review and underwriting with approval gates before anything posts
- Handle insurance claims processing and KYC/customer onboarding workflows with an audit trail
- Fine-tune open-source LLMs on private data and keep ownership of the resulting weights
- Deploy agents to your own cloud or data center for sovereign AI, with models and traces on infrastructure you control
Setup time & first value
How long it actually takes to get something useful out of Dynamiq — broken out by persona, not the marketing-page minute.
On the $0 Free plan you get a Dynamiq Cloud workspace immediately and can build a first agent on the canvas or in Python within a session. Self-hosted Enterprise rollouts take longer: forward-deployed engineers run a bootcamp in your environment, build the first production agent with your team, then hand over — the published customer story of an Asian neo-bank going live in 30 days is the
Switching to or from Dynamiq
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Dify, Flowise or Langflow: rebuild canvas flows on the Dynamiq Agent Builder and add guardrails, approval gates and per-agent audit trails you were running manually.
- →From a managed cloud agent platform: move reasoning into your own cloud account or data center so models and traces sit on infrastructure you control.
- →From in-house LLM scripts: wrap existing Python logic in the Apache-2.0 dynamiq SDK and get observability, evals and governance without a rewrite.
- ↗To Dify, Flowise or Langflow: export agent logic and rebuild on a community-first open-source canvas if the governance layer is not earning its keep.
- ↗To a managed cloud agent platform: move to a vendor-run service if you no longer need self-hosting, isolated environments or a BAA/DPA.
- ↗To in-house tooling: keep the fine-tuned weights you own and re-implement orchestration directly against your chosen model providers.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Dynamiq”, and we withheld 6: 6 could not be judged, because “Dynamiq” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Dynamiq.
Official links
What are the best Dynamiq alternatives?
The closest alternatives to Dynamiq we list are Dify, Langflow and Budibase. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Dify | Freemium | Pricing not published | — |
| Langflow | Freemium | Pricing not published | — |
| Budibase | Freemium | Pricing not published | — |
Alternatives to Dynamiq
View all
Tools that pair well with Dynamiq
Common stack mates teams adopt alongside Dynamiq, with the specific reason each pairing earns its keep.
Dify
Dify is a visual workspace for building agentic workflows, RAG pipelines and AI apps, deployed on Dify Cloud, in your VPC, or self-hosted.
Langflow
Low-code visual builder for AI agents, RAG pipelines, and MCP servers that deploys as an API
Budibase
Open-source low-code platform for building AI agents, internal tools, and automations on your own data.
Dynamiq vs its closest rival
Dynamiq's closest head-to-head is with Spider Cloud — Dynamiq and Spider Cloud serve fundamentally different needs. Dynamiq is a full-stack enterprise AI orchestration platform for building and deploying agentic apps on-premise, ideal for regulated industries needing data sovereignty. Spider Cloud is a lightweight, high-speed web data extraction API for feeding real-time info into AI agents and RAG pipelines. Choose Dynamiq if you need to build and control complex AI workflows in-house; choose Spider Cloud if you need fast, cheap, and reliable web data for your AI stack. Verdict generated
Head-to-head comparisons
Dynamiq vs Spider Cloud
Dynamiq and Spider Cloud serve fundamentally different needs. Dynamiq is a full-stack enterprise AI orchestration platform for building and deploying agentic apps on-premise, ideal for regulated industries needing data sovereignty. Spider Cloud is a lightweight, high-speed web data extraction API for feeding real-time info into AI agents and RAG pipelines. Choose Dynamiq if you need to build and control complex AI workflows in-house; choose Spider Cloud if you need fast, cheap, and reliable web data for your AI stack.
GeneratedDynamiq vs Presto Voice
Dynamiq and Presto Voice serve entirely different markets. Dynamiq is a self-hosted, low-code AI orchestration platform for enterprises building custom agentic workflows with data sovereignty; Presto Voice is a drive-thru voice AI automation tool for QSR chains focused on order accuracy and upselling. Choose Dynamiq if you need to build LLM-powered applications in-house with strict compliance. Choose Presto Voice if you operate drive-thrus and want to automate order-taking with proven ROI.
GeneratedDynamiq vs Temporal Ai
Choose Dynamiq if you need a low-code, on-premise AI app builder with RAG and fine-tuning for strict compliance. Choose Temporal AI if you are building resilient, fault-tolerant AI agents or microservices and need durable execution with automatic recovery. Dynamiq is best for enterprises that want to build AI workflows with data sovereignty, while Temporal is ideal for developers who need reliability and state persistence in complex multi-step processes.
GeneratedFrequently asked questions
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