One governed platform for chat, voice and workflow agents.
In short
Dynamiq gives enterprise teams one place to build agents (a visual canvas and a Python SDK on the same engine), ground them in company knowledge and 2,100+ app integrations, govern them with guardrails, approvals, evals and traces, and deploy them as APIs, chat widgets, voice lines or scheduled jobs in the cloud or on-prem.
Agents
- AI CoworkerDone
Compare Q3 loan volumes with last year and draft a board summary.
- Query the data warehouse
- Analyze and chart the trend
- Write the board summary
python analyze_volumes.py --quarter Q3 --compare 2025Q3-loan-volumes-board.docxDownloadIllustration of AI Coworker completing a task: it queries the data warehouse, runs analysis code in its sandbox and delivers a board summary document. AI Coworker
Hand it a task in plain language. It plans the work, browses, runs code in its own cloud sandbox and uses the apps you connect.
- Inbound call / Front deskCompletedCallerI need to reschedule tomorrow's appointment.AgentI can do that. Thursday at 10 or Friday at 2?620 msCallerFriday works.AgentDone. You will get a text confirmation now.540 mscalendar.rescheduleFriday 2:00 PM confirmedSIP, 1 tool
Illustration of an inbound voice call: the agent reschedules an appointment with the calendar system, with the response time for each turn. Voice Agents
Voice Agents answer calls on the phone, the web or your own backend, reason with an LLM, and speak back, with every turn measured.
- loan-file-reviewv3ProductionLoan packageInputDetect PIIGuardrailExtract fieldsAgentCredit policyKnowledgeUnderwriter approvalApproval, credit risk teamCan editAmountRateConditionsLoan systemActionRun 48216 of 6 stepstracedApproved and filed
Illustration of a loan-file review agent on the Dynamiq Agent Builder canvas: a PII guardrail, a document agent with credit-policy knowledge, an underwriter approval gate and an update to the loan system, with every step traced. Agent Builder
Design an agent on a visual canvas or in the open-source Python SDK. Both compile to the same engine, so what you build ships either way.
- EnvironmentsHelm, Kubernetes 1.32+ProductionYour AWS account, eu-central-1HealthyClaimsYour Azure tenant, UAE NorthHealthyOn-premYour data center, set up with our engineersHealthySandboxDynamiq CloudIdle
Illustration of four Dynamiq environments: production in the customer's AWS account, a line of business in their Azure tenant, an on-premises install set up with Dynamiq's engineers and a Dynamiq Cloud sandbox. Apps and deployments
Deploy a saved workflow version as an App with its own hostname. Call it over HTTP, embed a chat widget, or trigger it on a schedule or an event.
Knowledge and data
- servicing-policies / IngestionProcessed
Pre-processingFiles are converted into documents.
Multi-file ConverterChunkingDocuments are split into chunks.
Auto SplitterVectorizationChunks are embedded into vectors.
Cohere Document EmbedderStorageVectors are written to the store.
pgvector Writer
1,284 filesmetadata: department, access tierIllustration of a knowledge base ingestion pipeline in four lanes: files converted into documents, split into chunks, embedded into vectors and written to the store. Knowledge
A knowledge base converts your documents into searchable context: ingestion, chunking, embedding and storage, managed for you or pointed at your own vector store.
- Agent actionsSalesforceStage set to ProposalDoneZendeskTicket 48213 opened for billingDoneSharePoint3 contracts found, your access onlyDoneDynamics 365 Business CentralWaiting for finance approvalApproval
Illustration of an agent's actions across enterprise systems: updating a CRM opportunity, opening a service ticket, searching documents with the user's own permissions and posting an invoice that waits for approval. Integrations
Connect a workflow to 2,100+ app integrations, or point it at your own databases, warehouses and MCP servers.
- AI Gatewayrouter.getdynamiq.ai/v1AnthropicClaudePrimaryOpenAIGPTFallbackSelf-hostedOpen model on vLLMPII trafficAzure OpenAIEU regionRegional
Illustration of the AI Gateway routing requests: a primary hosted model, a fallback, a self-hosted open model for traffic that contains personal data, and a regional deployment. Models and AI Gateway
Use 29 model providers from the SDK, call the most-used models behind one endpoint and one credential, or host and fine-tune open models yourself.
Govern
- Guardrails, last hour2 caughtPII detectedSocial security number in a customer messageBlocked before the modelPrompt injection detectedInstruction hidden in a retrieved web pageSource quarantined
Illustration of guardrail events: a social security number detected in a customer message and blocked, and a prompt injection detected in a retrieved web page and quarantined. Guardrails and approvals
Detect PII and prompt injection before a model sees them, enforce content policies, and pause tool steps for a person to approve.
- support-triage / v3 vs v2PassedAnswer quality0.91+0.06Faithfulness0.97+0.02Policy adherence100%no changeEscalation accuracy0.88+0.09480 casesLive sampling on
Illustration of an evaluation run comparing two versions of a support agent on cases drawn from production traces, with scores for answer quality, faithfulness, policy adherence and escalation accuracy. Evals
Score an agent on a dataset before you ship, then keep scoring a sample of its live traffic after you deploy.
- Run 4821Completedloan-file-review1.9 sDetect PIISSN blocked before the model120 msExtract fields740 msCredit policy6 passages180 msUnderwriter approvalapprovedUpdate loan system90 msFaithfulness 0.96Policy check passedReplay
Illustration of a run trace: each step of a loan-file review with its timing, a PII guardrail event, a knowledge lookup and the underwriter's approval. Observability
Every run is traced and replayable, node by node, with the cost, latency and tokens each step used.
Business teams on the canvas. Engineers in Python.
from dynamiq.connections import Anthropic as AnthropicConnection
from dynamiq.connections import Tavily as TavilyConnection
from dynamiq.nodes.agents import Agent
from dynamiq.nodes.llms import Anthropic
from dynamiq.nodes.tools.tavily import TavilyTool
agent = Agent(
name="research-agent",
llm=Anthropic(
connection=AnthropicConnection(),
model="claude-sonnet-5",
),
tools=[TavilyTool(connection=TavilyConnection())],
role="Research assistant that answers with current sources.",
)
question = "What did central banks decide this week?"
result = agent.run(input_data={"input": question})
print(result.output["content"])
Deployment
Sovereign AI, running where your data lives.
The same platform runs in Dynamiq Cloud, your own cloud account or on-prem, with open models you host. Isolated setups are delivered with our engineers.
Dynamiq Cloud
Managed by us. Fastest way to start.
Your cloud
AWS, Azure, GCP, IBM Cloud or OpenShift, in your account.
Your data center
Any Kubernetes 1.32+ cluster you run.
Isolated
Delivered with our engineers for environments with no outside access.
Questions and answers
What is the Dynamiq platform?
Dynamiq is an enterprise platform for building, governing and deploying AI agents: chat agents, voice agents and workflow agents, with knowledge retrieval, integrations, guardrails, approvals, evals and observability in one place.
Can we run Dynamiq in our own cloud or data center?
Yes. Use Dynamiq Cloud, or self-host on AWS, Azure, GCP, IBM Cloud, Red Hat OpenShift or any Kubernetes 1.32+ cluster. Fully isolated environments are delivered with our engineers.
Which models does Dynamiq support?
Agents can use any of 29 model providers through the SDK, the AI Gateway puts the most-used models behind one endpoint, and you can run and fine-tune open models you host. You choose the model for each agent.
Is the platform open source?
The core Python SDK is open source under Apache-2.0 and runs on the same engine as the platform, so agents built in code and on the canvas deploy the same way.
How does Dynamiq handle security and compliance?
Dynamiq has SOC 2, HIPAA, GDPR, CASA Tier 2. Every run is traced and replayable, sensitive steps can wait for approval, and guardrails detect PII and prompt injection. Enterprise adds SSO, roles and retention controls.
See an agent on your own workflow.
Bring a process and its documents. Our engineers will show you how Dynamiq runs it, in your environment or ours.