The control plane for modern data platforms

AI-assisted orchestration, governance, and observability — sitting on top of your existing stack, not inside it.

Designed for data teams using Airflow, dbt, Spark, Kafka, and modern warehouses.

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Airflow
dbt
Spark
Kafka
Trino
Great Expectations
Monte Carlo
Fivetran
Collibra
Looker
Tableau
Snowflake

What Went Wrong

You started with one tool. Then two. Then twelve.

Tool sprawl

Airflow for orchestration, dbt for transformation, Great Expectations for quality, Monte Carlo for observability, Collibra for governance

Glue code everywhere

Custom scripts to sync metadata, trigger jobs, parse logs, send alerts

Fragmented lineage

No single source of truth for data flow, ownership, or impact analysis

Slow incident response

Engineers dig through 5 tools to find the root cause of a data quality issue

The result: a distributed system with no single place to understand, govern, or fix it.

One Brain. Many Muscles.

Fusion does not replace your tools. It coordinates them.

DCraft Fusion is the control plane layer for your data platform.

DCraft Fusion Control Plane

Airflow
dbt
Spark
Kafka
Trino
Snowflake

Unified orchestration

Schedule, trigger, and monitor pipelines across all tools from one interface

Centralized governance

Define ownership, access policies, and data contracts in one place

End-to-end lineage

Trace data flow from source to target, across every transformation and tool

Proactive observability

Detect anomalies, track SLOs, and alert on failures before users notice

Cost transparency

Understand warehouse spend per pipeline, per team, per query

The Architecture Principle

Tightly coupled control plane and UX. Loosely coupled execution engines.

The Architecture Principle

Tightly coupled control plane and UX. Loosely coupled execution engines.

What Fusion is not trying to be

Fusion is not a new warehouse, query engine, or storage layer.

It does not force a single execution engine.

It does not hide your data behind a black box.

Fusion exists to coordinate, govern, and make your data platform observable — not to replace its foundations.

Who DCraft Fusion is for

  • Teams running modern data stacks who feel tool sprawl pain
  • Platform teams who need governance without slowing engineers
  • Regulated companies that can't send data outside their environment

Adopt Fusion at your own pace

DCraft Fusion is designed for progressive adoption.

Some teams start with visibility and governance.

Others centralize orchestration and quality.

Some use Fusion as a thin control plane.

Others standardize their entire data lifecycle on it.

Use Fusion:

  • As a control plane on top of your stack
  • As a unified platform for multiple layers
  • With code-first, low-code, or no-code workflows
  • With AI enabled or completely turned off

Fusion adapts to your organization — not the other way around.

How It Works

DCraft Fusion Control Plane

Orchestration·Governance·Observability

+ AI Operator (optional)

Airflow

dbt

Spark

Kafka

Trino

Snowflake

Data Sources & Targets

MySQLPostgresMongoDBS3APIsFilesIcebergSnowflakeBigQueryRedshift

Fusion holds intent, metadata, policies, and visibility.

Execution stays in your engines.

Data never moves unless you move it.

One brain. Many muscles.

Everything you need — when you need it.

Ingestion & Sync

Connect databases, streams, APIs, and files. Reliable sync without custom glue code.

Orchestration

Schedule, trigger, and monitor pipelines across all tools from one interface.

Transformation

Write SQL, Spark, or dbt-style transformations. Execute on your engine of choice.

Data Quality

Define data contracts, run tests, and block bad data before it reaches production.

Governance & Lineage

Trace every field from source to dashboard. Define ownership and access policies in one place.

Observability & Cost

Monitor SLOs, track failures, and understand warehouse spend per pipeline and team.

Your Data. Your Infrastructure. Your Control.

DCraft Fusion is designed for regulated industries and security-conscious teams. Your data does not need to leave your environment.

Data Residency

Principle: Data stays where you put it.

What Stays in Your Infrastructure

  • Actual table data (rows, values)
  • Files and objects
  • Stream payloads
  • Query results

Control Plane Metadata

Fusion stores metadata, intent, configuration, and observability signals — never raw customer data unless explicitly configured.

  • Pipeline schedules
  • Lineage metadata (table/column names)
  • Execution logs
  • User permissions

Compliance: SOC 2 Type II, GDPR, HIPAA-ready, ISO 27001 (in progress)

Deployment Modes

DCraft Cloud (SaaS)

Control plane hosted by DCraft. Execution in your cloud.

Best for: Fastest time to value

  • Hosted by DCraft
  • Your data stays in your VPC
  • Managed infrastructure

Customer VPC (BYOC)

Control plane in your AWS/GCP/Azure account.

Best for: Full network isolation

  • Deploy in your account
  • Complete control
  • Terraform modules provided

On-Premises

Control plane in your data center. Air-gapped supported.

Best for: Maximum security

  • Self-hosted
  • Air-gapped deployment
  • Enterprise license

AI Operator: Optional. Transparent. Controlled.

The AI Operator is an optional assistant that helps data engineers move faster — not a replacement for human judgment.

What It Does

Intent to Pipeline

Describe what you want in plain language. AI Operator generates pipeline scaffolding, suggests schemas, and recommends transformations.

Incident Explanation

When a pipeline fails, AI Operator analyzes logs, lineage, and recent changes to suggest root causes.

Proactive Recommendations

AI Operator flags risks before they become incidents: data quality anomalies, cost spikes, security violations, SLA breaches.

What It Does NOT Do

No Auto-Execution

Every AI-generated pipeline requires human review and explicit deployment.

Not a Replacement

AI Operator is a scaffolding tool, not an autonomous agent. Engineers own all decisions.

No Training on Your Data

Models are pre-trained. Customer data stays in customer infrastructure unless explicitly opted in.

Data Stays Local

AI Operator runs in the control plane. Execution happens in your VPC, on-prem, or air-gapped environment.

Trust Controls

Disable per tenant

Turn off AI for entire organization

Disable per project

Turn off for specific teams

Audit all suggestions

Every AI action is logged

Bring your own model

Use your own LLM

AI suggestions are advisory only. Humans approve every change.

Join the Waitlist

DCraft Fusion launches Q2 2026. Join the waitlist for early access, beta invites, and launch updates.

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