A single agentic operating system
for enterprise marketing.
Four layers that compose together — from the visual canvas your marketers actually use, to the multi-cloud runtime your CISO actually signs off on. Built model-agnostic, cloud-agnostic, and audit-ready from day one.
Four layers. One workflow.
Each layer is independently powerful. Together, they're how a 12-person marketing team out-ships a 50-person one.
Build agentic workflows visually. No code.
Drag-and-drop canvas to compose 80+ nodes into intelligent workflows. Prototype an end-to-end content pipeline in 30 minutes — not 30 days.
Autonomous agents that reason, act, and collaborate.
The AI Agent node is a true reasoning runtime. Multi-agent teams share memory, debate, and ship. Model-agnostic, tool-equipped, MCP-ready.
Production-grade execution at any scale.
Intensive Jobs Orchestrator runs thousands of workflow instances in parallel — with retries, quotas, and resumable runs. Multi-cloud by design.
30+ enterprise integrations. Anything else via MCP or REST.
Plug into the tools your marketing org already runs. Need something custom? REST API or MCP server in minutes — not a quarter-long integration project.
Visual canvas. Real engineering rigor.
Marketing ops designs it. Engineering reviews it. The agents run it.
No-code · Versioned · AuditableThe Studio is where workflows are born. Drop in nodes — inputs, AI models, integrations, tools, transformations — and wire them together on a canvas any marketing operator can read. Conditionals branch by content type. Loops fan out across millions of records. Human-in-the-loop nodes pause for approval at the moments that matter. Variables thread data through the whole pipeline. Versioning means you can ship to staging, A/B against production, and roll back instantly.
It's not Zapier. It's not Make. Those tools were built for "if this then that" before AI agents existed. The Studio was built for the world where the most important step in a workflow isn't a transformation — it's a decision an agent makes.
Drag-and-drop canvas
80+ pre-built nodes — AI, integrations, tools, I/O. Compose visually, no syntax to memorize.
Variables & templating
Pass data fluently between nodes. Reference any upstream value with one click.
Conditionals & loops
Branch by content type, region, customer tier. Loop over thousands of rows without writing a for-loop.
Human-in-the-loop
Pause the workflow for human approval. Re-route based on the response. Ship safe.
Versioning
Diff workflow versions, roll back, branch and merge. Ops gets git-level rigor without the git.
Teams & roles
Owner, Admin, Builder, Viewer. Share workflows across the org with the right permissions.
The agent is the unit of work.
Reasoning agents that plan, decide, call tools, and collaborate in teams.
AI Agent · Multi-agent · MCPThe AI Agent node isn't a wrapper around an LLM call. It's a runtime: give it a goal, a set of tools, and the constraints it should respect, and it will reason its way through. It picks the right tool for each subtask. It re-plans when something fails. It asks for help when it needs to.
Spin up a multi-agent team — researcher, writer, editor, distributor — and they share memory, hand off context, and argue about output quality until it's good enough to ship. This is how you produce 24 articles a day instead of 2, without compromising voice or accuracy.
And because we're MCP-native, any agent can be extended with your internal systems — your data warehouse, your CMS, your brand guidelines, your CRM — without us writing a custom integration.
AI Agent node
Autonomous reasoning, tool calling, sub-goaling, retries. The closest thing to a marketing analyst that doesn't need sleep.
Multi-agent orchestration
Coordinate specialist agents on a shared brief. Built-in protocols for handoff, debate, and consensus.
MCP servers
Connect external Model Context Protocol servers — Linear, Slack, Notion, your internal APIs — and extend any agent.
Tool use
Web search, code execution, file I/O, custom APIs. Agents pick the right tool for the job, automatically.
Memory & knowledge bases
Attach knowledge sources to ground agents in your brand voice, product docs, and historical performance.
Specialized AI nodes
CSV Analyzer, Text-to-Image (Imagen), Image-to-Video (Veo, Sora, Kling), Upscale, Video-to-Text — for when general-purpose isn't enough.
Bring your own model. Or every model.
Route long-form generation to Claude, structured reasoning to Gemini, image gen to Imagen, video to Veo, cost-optimized batch to open-source on your own infrastructure. Switch providers without rewriting a workflow. Pay for performance, not vendor lock-in.
Claude Opus & Sonnet · Gemini 2.5 / 3 Pro · GPT-4
Llama 3 · Mistral · Self-hosted on your VPC
Imagen 4 · Veo 3 · Sora · Kling
Google Vertex AI · AWS Bedrock · Anthropic · OpenAI · OVHcloud
Built to ship a million workflows.
The Intensive Jobs Orchestrator turns a workflow into a production system.
Parallel · Resumable · Multi-cloudA workflow is the recipe. The Orchestrator is the kitchen. Schedule runs on cron-like triggers, fan a single workflow out across tens of thousands of inputs in parallel, batch-process a 50,000-row spreadsheet overnight, resume from where you left off when a flaky third-party API blinks.
Quota-aware so you don't burn through your model budget. Retry policies you control. Distributed by default — runs on whichever cloud has capacity. This is what makes the difference between a clever demo and a production marketing system you can actually depend on.
Batch processing
Process thousands of rows, URLs, or records in a single workflow run. One click, parallel execution.
Scheduling & triggers
Cron, webhooks, API triggers. Run a workflow nightly, hourly, or in response to an event.
Retries & quotas
Configurable retry policies. Quota management across model providers — no surprises in your AWS bill.
Resumable runs
Pick up where you left off after a failure. Never re-process work you already paid for.
Multi-cloud execution
Run workloads on GCP, AWS, OVHcloud. Avoid vendor lock-in. Move compute where the data lives.
Observability
Real-time logs, metrics, latency, cost per run. Know exactly what your agents are spending.
Already connected to your stack.
Pre-built nodes for the platforms enterprise marketing teams actually use — not a curated list of "AI-friendly" tools.
Missing one? Build it yourself in the Studio with the REST API node or an MCP server, in minutes. The platform doesn't care if it's a public API or your internal Postgres — it'll connect.
Every agent decision, logged.
Every workflow, auditable.
Agentic AI without governance is a liability. The Traceability Manager logs every action every agent takes — what it decided, what it called, what came back. Debug a workflow in minutes. Pass a brand-safety audit without breaking a sweat.
Full audit trail
Every node execution, every model call, every tool invocation captured with inputs, outputs, and timing.
Replay & debug
Reproduce any historical run. Diff outputs across versions. Pin down what changed when something regressed.
Compliance-ready
Export logs for SOC 2 / GDPR audits. Per-organization isolation. 30-day retention with manual purge.
Enterprise on every layer.
Run D&G as managed SaaS, in a private cloud, or fully on-premise behind your firewall. Your data, your models, your choice.
- TLS 1.3 in transit, AES-256 at rest
- SAML 2.0 SSO & SCIM provisioning
- Role-based access: Owner / Admin / Builder / Viewer
- Per-organization data isolation
- OAuth integrations with token rotation
- Multi-cloud: GCP, AWS, OVHcloud
- On-premise & air-gapped deployments
- 30-day workflow log retention, manual purge
Headless. API-first. Yours to extend.
Every workflow is a REST endpoint. Trigger from your app, your CMS, your CI. Stream results. Manage credentials with first-class API keys.
POST /workflow/run
Fire any workflow synchronously or asynchronously with a single API call. Pass variables. Stream output.
GET /run/:id
Poll the status of any execution. Get inputs, outputs, logs, and error context — all via API.
API keys & scopes
Generate, rotate, and revoke API keys. Scope by workflow, by environment, by team.
The platform tour is the easy part.
The fun starts when you build something with it.
30-minute call. We'll map one of your highest-friction marketing workflows onto D&G, live, with your data and your models.