The Platform
Fifteen agents.
One swarm for your
entire data stack.
Each agent is an MCP server — purpose-built for a specific domain of data operations. Connect any agent to your coding tool with a single command. What used to consume engineering sprints now resolves in a single prompt.
Incident Debugging
Detects anomalies, traces root cause, and auto-remediates — resolving 60-70% of incidents without human intervention.
Pipeline Building
Describe what you need in plain English. The agent builds the pipeline, tests, and deploys it.
Quality Monitoring
Continuous profiling, adaptive baselines, intelligent alert deduplication. Cuts noise from 100/day to 5-10.
Schema Evolution
Detects schema changes in real-time, maps downstream impact, generates migration scripts.
Data Context & Catalog
Ask about any table and get schema, lineage, quality, ownership — assembled from every connected platform.
Governance & Security
Codifies compliance policies as executable rules. Processes access requests in 5 minutes instead of 5 days.
Real-Time Streaming
Designs streaming topologies, manages Kafka connectors, auto-tunes performance and handles backpressure.
Swarm Orchestration
The brain of the operating system. Coordinates agents, discovers dependencies, optimizes scheduling.
Cost Savings & Cleanup
Identifies unused datasets, optimizes warehouse spend, automates cleanup of stale data assets.
Data Migration
Legacy-to-cloud migration in weeks, not quarters. Automates schema mapping, validation, and cutover.
Data Science & Insights
Perplexity for Data. Ask any question in plain English and get instant, accurate answers.
Usage Intelligence
Track which tools practitioners use, workflow patterns, power users, and full agent observability.
MLOps & Models
Experiment tracking, model registry, feature engineering, and AutoML — from data to deployed model.
Connector Management
Monitors connector health, auto-diagnoses sync failures, and manages the ingestion layer across all data sources.
Platform Observability
Full agent observability with audit trails, drift detection, SLO tracking, and cross-agent performance monitoring.
The ROI of Agentic Data Engineering
What changes when every data task takes minutes, not days.
Your data team stops being a bottleneck and starts being a competitive advantage. Analysts get the same context as senior engineers. The engineering queue shrinks. The backlog clears.
Every team member gets staff-engineer-level context
An analyst asks 'what's the blast radius if we drop this column?' and gets a complete answer — schema, lineage, downstream dashboards, and affected pipelines — assembled from Snowflake, dbt, and Airflow in seconds. No SQL required. No ticket filed.
Routine data tasks go from days to minutes
A schema change in your orders table triggers the schema agent, which maps 12 downstream dependencies, generates migration scripts, validates against quality rules, and stages the rollout — all before your team's standup. Pipeline builds, access provisioning, and cost reviews follow the same pattern.
Works across your entire enterprise stack
Snowflake, BigQuery, Databricks, Airflow, Kafka, dbt, and your custom internal tools — all connected through a single agent swarm. No rip-and-replace. No new platform to learn. Agents meet your stack where it is.
Enterprise-grade security from day one
SAML SSO, RBAC, encryption at rest and in transit, tamper-evident audit trails, PII redaction, and customer data isolation. Your data never leaves your infrastructure and is never used to train models.
Technical Architecture
Purpose-built for
the agentic enterprise.
Every architectural decision serves the same goal: let AI agents operate across your entire data stack without compromising security, portability, or control.
Claude Code first
Built natively for Claude Code as the primary interface. Every agent is an MCP server — invoke any capability with a single command from your terminal. No dashboards to learn, no UIs to navigate.
Connected to every stack
85+ integrations across Snowflake, BigQuery, Databricks, Airflow, Kafka, dbt, and your custom internal tools. Direct protocol-level integration — no adapters, no middleware, no data leaving your infrastructure.
MCP native — works with any coding agent
Every agent exposes a standard MCP interface. Connect to Cursor, Windsurf, VS Code, GitHub Copilot, or any MCP-compatible client. One protocol, every tool.
Architected for SOC 2, HIPAA, and GDPR
SAML SSO, RBAC, encryption at rest and in transit, tamper-evident audit trails, PII redaction, and customer data isolation — designed into the framework from day one, not bolted on after the fact.
Transparent by design
Every line of agent code that touches your data is inspectable. Community Edition runs 15 read-only agents under Apache 2.0. Enterprise adds write operations (pipeline builds, schema migrations, automated remediation), VPC deployment, and compliance certifications — with full audit visibility.
Integrations
85+ direct integrations.
Every agent connects to your tools at the protocol level. No adapters. No middleware. Direct integration across 85+ platforms — from Snowflake to your custom internal tools.
Built for your Coding Agents
Native to your data ecosystem
Showing 76 integrations
Snowflake
Airflow
Kubernetes
Kestra
dbt
Alation
OpenMetadata
Apache Kafka
Schema Registry
Tableau
AWS
SageMaker
Prometheus
Slack
Anthropic Claude
Ollama
Snowflake
Airflow
Kubernetes
Kestra
dbt
Alation
OpenMetadata
Apache Kafka
Schema Registry
Tableau
AWS
SageMaker
Prometheus
Slack
Anthropic Claude
Ollama
Snowflake
Airflow
Kubernetes
Kestra
dbt
Alation
OpenMetadata
Apache Kafka
Schema Registry
Tableau
AWS
SageMaker
Prometheus
Slack
Anthropic Claude
Ollama
Snowflake
Airflow
Kubernetes
Kestra
dbt
Alation
OpenMetadata
Apache Kafka
Schema Registry
Tableau
AWS
SageMaker
Prometheus
Slack
Anthropic Claude
Ollama
BigQuery
Dagster
Terraform
Argo
Elementary
Atlan
Polaris
Confluent
Apache Iceberg
Jupyter
Google Cloud
Vertex AI
Grafana
New Relic
OpenAI
BigQuery
Dagster
Terraform
Argo
Elementary
Atlan
Polaris
Confluent
Apache Iceberg
Jupyter
Google Cloud
Vertex AI
Grafana
New Relic
OpenAI
BigQuery
Dagster
Terraform
Argo
Elementary
Atlan
Polaris
Confluent
Apache Iceberg
Jupyter
Google Cloud
Vertex AI
Grafana
New Relic
OpenAI
BigQuery
Dagster
Terraform
Argo
Elementary
Atlan
Polaris
Confluent
Apache Iceberg
Jupyter
Google Cloud
Vertex AI
Grafana
New Relic
OpenAI
Databricks
Prefect
dbt Cloud
Monte Carlo
Anomalo
Collibra
Purview
AWS Kinesis
Delta Lake
Superset
Azure
Weights & Biases
DataDog
OpsGenie
AWS Bedrock
Databricks
Prefect
dbt Cloud
Monte Carlo
Anomalo
Collibra
Purview
AWS Kinesis
Delta Lake
Superset
Azure
Weights & Biases
DataDog
OpsGenie
AWS Bedrock
Databricks
Prefect
dbt Cloud
Monte Carlo
Anomalo
Collibra
Purview
AWS Kinesis
Delta Lake
Superset
Azure
Weights & Biases
DataDog
OpsGenie
AWS Bedrock
Databricks
Prefect
dbt Cloud
Monte Carlo
Anomalo
Collibra
Purview
AWS Kinesis
Delta Lake
Superset
Azure
Weights & Biases
DataDog
OpsGenie
AWS Bedrock
Redshift
Fivetran
Temporal
Great Expectations
Bigeye
Immuta
Dataplex
GCP Pub/Sub
Apache Flink
Metabase
Docker
Okta
OpenTelemetry
ServiceNow
Google Vertex
Redshift
Fivetran
Temporal
Great Expectations
Bigeye
Immuta
Dataplex
GCP Pub/Sub
Apache Flink
Metabase
Docker
Okta
OpenTelemetry
ServiceNow
Google Vertex
Redshift
Fivetran
Temporal
Great Expectations
Bigeye
Immuta
Dataplex
GCP Pub/Sub
Apache Flink
Metabase
Docker
Okta
OpenTelemetry
ServiceNow
Google Vertex
Redshift
Fivetran
Temporal
Great Expectations
Bigeye
Immuta
Dataplex
GCP Pub/Sub
Apache Flink
Metabase
Docker
Okta
OpenTelemetry
ServiceNow
Google Vertex
PostgreSQL
Airbyte
Mage
Soda
DataHub
Privacera
AWS Glue
Debezium
Looker
Sigma
MLflow
Azure AD
PagerDuty
Jira
Azure OpenAI
PostgreSQL
Airbyte
Mage
Soda
DataHub
Privacera
AWS Glue
Debezium
Looker
Sigma
MLflow
Azure AD
PagerDuty
Jira
Azure OpenAI
PostgreSQL
Airbyte
Mage
Soda
DataHub
Privacera
AWS Glue
Debezium
Looker
Sigma
MLflow
Azure AD
PagerDuty
Jira
Azure OpenAI
PostgreSQL
Airbyte
Mage
Soda
DataHub
Privacera
AWS Glue
Debezium
Looker
Sigma
MLflow
Azure AD
PagerDuty
Jira
Azure OpenAI
See the swarm run on
your data stack live.
See how 15 agents coordinate across pipelines, incidents, governance, and schema evolution — all in a single live walkthrough.