# AI agents that work inside your walls.

URL: https://www.getdynamiq.ai/

> Build chat, voice and workflow agents on one governed platform, deployed in your cloud or data center with our engineers. SOC 2, HIPAA, GDPR, CASA Tier 2.

![An office floor lit at night, seen through the window of a dark building, with a team talking at their desks](https://www.getdynamiq.ai/_next/static/immutable/media/night-office.3808w5tf307od.jpg)

The unified agentic AI platform for back-office automation and customer support by voice and chat, deployed with our engineers.

[Start free](https://app.getdynamiq.ai/signup) · [Talk to the team](https://www.getdynamiq.ai/book-a-demo)

_Illustration with sample data: an agent run in back office, customer support, compliance and AI Coworker._

Trusted by teams at

Technology partners

-   SOC 2 · HIPAA · GDPR · CASA Tier 2
-   AWS, Azure and IBM marketplaces
-   [Open-source SDK · 1.1k stars](https://github.com/dynamiq-ai/dynamiq)

Dynamiq gives banks, governments and enterprises **sovereign AI**: agents on **your infrastructure**, with **the models you choose**, under **your rules**.

## Put agents on the work that fills your queues.

Agents take the routine work; your people approve what matters.

### Back office

Loan operations, reconciliations, payment exceptions and reporting, with approval gates before anything posts.

What it moves

-   Reconciliation cycle time
-   Exception aging
-   Approval turnaround

[How it works](https://www.getdynamiq.ai/use-cases/back-office)

_Illustration of a back-office agent's approval queue: an invoice matched to a purchase order, a refund exception and a month-end reconciliation, each waiting for a person before posting._

### Customer support

Voice agents answer your phone lines and chat agents your website and apps; the rest goes to a person, with the transcript kept in the trace.

What it moves

-   Handle time
-   First-contact resolution
-   Escalation rate

In production: An Asian neo-bank automated about 85% of support inquiries and went live in 30 days.

[How it works](https://www.getdynamiq.ai/use-cases/customer-service)

_Illustration of an inbound voice call: the agent reschedules an appointment with the calendar system, with the response time for each turn._

### Document review

Read loan files, claims and contracts, check them against your rules, and flag exceptions for a reviewer.

What it moves

-   Reviewer time per file
-   Exception rate
-   Cycle time

[How it works](https://www.getdynamiq.ai/use-cases/document-review)

_Illustration of a document review agent: fields extracted from a loan file with the page each came from, two flagged as exceptions against credit policy._

### Compliance

Triage alerts, track regulatory change and draft reports, with a record your auditors can follow.

What it moves

-   Alert triage time
-   False-positive share
-   Regulatory change lag

[How it works](https://www.getdynamiq.ai/use-cases/compliance-financial-crime)

_Illustration of an AML alert triage agent: evidence gathered from transactions and the customer profile, a drafted disposition, and a required analyst sign-off._

### Research and data

Ask your documents and databases in plain language, and get cited answers, charts and HTML reports, on demand or on a schedule.

What it moves

-   Time to answer
-   Answer coverage
-   Citation rate

In production: A B2B accounting platform shipped document search in one week with one of our engineers.

[How it works](https://www.getdynamiq.ai/use-cases/research-knowledge)

_Illustration of a research assistant answering a policy question with numbered citations to two internal documents, each marked with the permissions that apply._

The platform

## One engine for chat, voice and workflow agents.

Built in: inbound voice, an AI coworker with its own computer, real-time evals, and an agent that finds issues in your traces.

[Explore the platform](https://www.getdynamiq.ai/product)

-   _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](https://www.getdynamiq.ai/product/agents)
    
    Design agents on a visual canvas or in Python. Both run on the same engine.
    
-   _Illustration 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](https://www.getdynamiq.ai/product/chat)
    
    An agent with its own cloud computer, in the browser, Slack, Teams and Telegram.
    
-   _Illustration of an inbound voice call: the agent reschedules an appointment with the calendar system, with the response time for each turn._
    
    ### [Voice Agents](https://www.getdynamiq.ai/product/voice-agents)
    
    Answer inbound calls, look up your systems and hand off to a person.
    
-   _Illustration of agentic memory: durable facts an agent saved about a customer across sessions, one updated in place instead of duplicated, and the agent recalling them in a new conversation._
    
    ### [Agentic memory](https://www.getdynamiq.ai/product/agents#agentic-memory)
    
    Agents keep each person's conversations and save durable facts on their own, which people can see and correct.
    
-   _Illustration of a research assistant answering a policy question with numbered citations to two internal documents, each marked with the permissions that apply._
    
    ### [Knowledge](https://www.getdynamiq.ai/product/knowledge-rag)
    
    Answers grounded in your documents, with each source's permissions enforced.
    
-   _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](https://www.getdynamiq.ai/product/guardrails)
    
    Detect PII and prompt injection, and pause tool steps for a reviewer.
    
-   _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](https://www.getdynamiq.ai/product/evaluations)
    
    Score agents on datasets, on live traffic in real time, and in voice simulations.
    
-   _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](https://www.getdynamiq.ai/product/observability)
    
    Every run traced node by node, with cost and latency. An agent flags the issues.
    
-   _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 and AI Gateway](https://www.getdynamiq.ai/product/integrations)
    
    Actions across 2,100+ app integrations, and 29 model providers with one gateway for the most-used models.
    

## Business teams on the canvas. Engineers in Python.

The visual builder and the open-source SDK run on the same engine, deploy the same way and leave the same audit trail.

[Agent Builder](https://www.getdynamiq.ai/product/agents) · [Open-source SDK](https://www.getdynamiq.ai/open-source) · `pip install dynamiq`

_Illustration of the same research agent on the Agent Builder canvas: an input, an agent with a model and a web search tool, and an output._

research\_agent.py

```
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"])
```

![An office building with every floor lit against a deep blue evening sky](https://www.getdynamiq.ai/_next/static/immutable/media/building-blue-hour.33rm7-iwb-ney.jpg)

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.
    

[Deployment options](https://www.getdynamiq.ai/deployment/self-hosted) · Buy through AWS, Azure or IBM marketplaces.

## Our engineers ship the first agent with you.

They work in your environment until it runs in production, then hand over the code, the evals and the runbook.

[Plan a bootcamp](https://www.getdynamiq.ai/deployment)

![A team working on laptops in a glass meeting room late in the evening](https://www.getdynamiq.ai/_next/static/immutable/media/team-glass-room.2fcix80coz_9o.jpg)

Forward-deployed engineers work inside your environment, on your data, next to your team.

1.  Step 1
    
    ### Bootcamp in your environment
    
    A working agent on your data, with success criteria agreed up front.
    
    -   Success criteria agreed up front
    -   An eval set built from your data
    -   A working agent
2.  Step 2
    
    ### First production agent
    
    Built, tested and hardened with your team, evals first.
    
    -   Production deployment
    -   Monitoring and live evals
    -   Support for your security review
3.  Step 3
    
    ### Handover
    
    Your team owns the agents, the code and the playbook.
    
    -   Code, prompts and runbooks
    -   Your team trained to extend it
    -   Enterprise support

Time to production

30 days · to put an Asian neo-bank's support agent into production

1 week · for one engineer to ship document search at a B2B accounting platform

## Controls your risk team will sign off on.

Every run traced and replayable. Approvals on the steps that matter. PII and prompt injection caught before the model.

-   Traced and replayable
    
    Every run is recorded step by step, with inputs, outputs, cost and latency.
    
-   Approval gates
    
    Sensitive steps wait for a reviewer, who can edit fields before approving.
    
-   Guardrails
    
    Detect PII and prompt injection before data reaches a model.
    
-   SSO and roles
    
    Sign in with your identity provider on Enterprise, with projects, roles and retention controls.
    
-   Inside your perimeter
    
    Self-host in your cloud or data center, with the models you approve.
    

-   SOC 2
-   HIPAA
-   GDPR
-   CASA Tier 2

[Visit the Trust Center](https://www.getdynamiq.ai/security)

_Illustration of an execution approval: before the agent updates the loan system, a reviewer sees the exact call, edits the amount, rate and conditions it may change, and approves or rejects with a reason._

## Built for banks, insurers, governments, telcos and hospitals.

Where a wrong answer costs money, trust or a license.

![A marble banking hall with dark columns, a wooden door and three hanging lamps](https://www.getdynamiq.ai/_next/static/immutable/media/finance-hall.2fyz8aey0i1ra.jpg)

### Financial services

Customer service, KYC and AML triage, and lending document review.

[Explore financial services](https://www.getdynamiq.ai/industries/financial-services)

![A person reviewing and signing a spread of documents on a dark desk](https://www.getdynamiq.ai/_next/static/immutable/media/documents-desk.0qkvpd2c6szac.jpg)

### Insurance

Policyholder service by phone and chat, and claims files prepared for adjusters.

[Explore insurance](https://www.getdynamiq.ai/industries/insurance)

![The entrance of a civic building at night, its tall columns lit warm](https://www.getdynamiq.ai/_next/static/immutable/media/civic-night.42pwi16szw848.jpg)

### Government and public sector

Citizen services and analysis with human oversight, on infrastructure you control.

[Explore public sector](https://www.getdynamiq.ai/industries/public-sector)

![Telecommunication towers silhouetted against an amber dusk](https://www.getdynamiq.ai/_next/static/immutable/media/telecom-towers.1_in21eqoe1p6.jpg)

### Telecommunications

Voice and chat care at scale, in your customers' languages.

[Explore telecommunications](https://www.getdynamiq.ai/industries/telecommunications)

![A timber building facade with warm interior lighting at night](https://www.getdynamiq.ai/_next/static/immutable/media/timber-lights.3bcr5bnkr5ug7.jpg)

### Healthcare

Patient intake and document workflows with PII detection and private endpoints.

[Explore healthcare](https://www.getdynamiq.ai/industries/healthcare)

## Running in production today.

Anonymized deployments you can ask us about, an open-source core you can read and partners you can call.

-   [An Asian neo-bank · Financial services](https://www.getdynamiq.ai/case-studies/automating-customer-support-at-scale-how-a-neo-bank-saves-1-5m-a-year-with-ai)
    
    An Asian neo-bank automated about 85% of support inquiries and went live in 30 days.
    
    Read the story
    
-   [A B2B accounting platform · Financial services](https://www.getdynamiq.ai/case-studies/smart-document-search-for-a-b2b-accounting-platform-built-in-one-week-with-dynamiq)
    
    A B2B accounting platform shipped document search in one week with one of our engineers.
    
    Read the story
    

[The core SDK is open source under Apache-2.0.](https://github.com/dynamiq-ai/dynamiq)

dynamiq-ai/dynamiq · 1.1k stars

[Security review kit](https://www.getdynamiq.ai/security)

SOC 2 report, questionnaires and architecture

## Size your first agent.

Estimate the value, score your readiness and read how teams put agents into production.

[Read the blog](https://www.getdynamiq.ai/blog)

### [AI agent ROI calculator](https://www.getdynamiq.ai/resources/ai-agent-roi-calculator)

Estimate hours and cost saved for your use case.

Start now

### [Readiness assessment](https://www.getdynamiq.ai/resources/ai-agent-readiness-assessment)

Score your data, integrations and governance in a few minutes.

Start now

-   ### [How Dynamiq built a cost-aware legal research workflow with IBM watsonx](https://www.getdynamiq.ai/post/how-dynamiq-built-a-cost-aware-legal-research-workflow-with-ibm-watsonx)
    
    How a three-agent legal research workflow on IBM watsonx routes every question by cost: Granite triages, deep research runs only when needed, all traced.
    
    April 15, 2026 · 7 min read
    
-   ### [Best Dify alternatives for AI workflow automation](https://www.getdynamiq.ai/post/best-dify-alternatives-for-ai-workflow-automation)
    
    Dify is a source-available platform for agentic workflows and RAG. Compare the best Dify alternatives in 2026 on license, deployment, voice agents and evals.
    
    September 17, 2025 · 7 min read
    
-   ### [Best Flowise alternatives for AI workflow automation](https://www.getdynamiq.ai/post/best-flowise-alternatives-for-ai-workflow-automation)
    
    Flowise reached end of life on August 31, 2026. Compare the best Flowise alternatives for agents, RAG and chatflows, and plan the move off the archived code.
    
    September 17, 2025 · 8 min read
    

## 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.

[Start free](https://app.getdynamiq.ai/signup) · [Talk to the team](https://www.getdynamiq.ai/book-a-demo)
