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data
workers
Products
01
Data-Agents Swarm
agents that detect, fix & govern your stack
Data engineering agents
Incident resolution
Pipeline building
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02
Data Context Wizard
trusted cross-cloud context for every agent
Knowledge graph
Semantic layer
Context engineering
→
03
Spellbook Data Catalog
command, approve & audit the fleet
Agentic data catalog
Metadata management
Data governance
→
04
Autonomous Data-Conductor
loop engineering for data - the autonomous orchestrator
Loop engineering
Autonomy guardrails
Agentic orchestration
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Agents
Meet the Agents
Understand
Data Context & Catalog
Search & Research
Data Science & Insights
Autopilot
Autonomous Data Conductor
Incident Debugging
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Schema Evolution
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Operate & Optimize
Observability
Quality Monitoring
Data Change Review
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Usage Intelligence
Govern & Protect
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All agents →
Who it’s for
Who it’s for
By data team
Finance, insurance & investment data
Data platform & governance
Health & life sciences data
Data providers & marketplaces
AI & ML data
Private equity
Sales & revenue data
Marketing, ads & customer data
Product & usage data
Operations & supply chain data
Public sector & legal data
People data
ESG & sustainability data
All data teams →
Data Teams Climbing the AI-Curve
Bring agents into your data lake or warehouse
Build your semantic layer
Make your data catalog agentic
Zero data ops: autonomous data operations
Our thesis →
Automating the data back office
Self-healing pipelines
Let AI agents change production data, safely
Data standards that enforce themselves
Catalog and metadata
Cost and performance
Migrations
All transformations →
Enterprise
Enterprise
Enterprise
Pricing
Enterprise Pilot Program
Merch
Our thesis
Our Thesis on Agentic Data Platforms
Our whitepapers
Data Agents: Context Is Not All You Need
Why the Data Layer Needs Its Own Context Layer
From Traditional to Agentic Data Catalog
Browse Resources →
Pilot Program
Book a Demo
Products
Data-Agents Swarm
agents that detect, fix & govern your stack
Data Context Wizard
the cross-cloud memory your agents can trust
Spellbook Data Catalog
command, approve & audit the fleet
Autonomous Data-Conductor
loop engineering for data - the autonomous orchestrator
Who it’s for
By data team
AI-native transformation for Enterprise Data Teams
Enterprise
Pricing
Whitepapers
Merch
Book a Demo
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By data team
Data Workers for
Private equity
01 · Private equity
Best practices for each data team
01
→
Best practices for agentic
Portfolio data
02
→
Best practices for agentic
Investment data
Data Factory 2.0 for private equity data teams. Now your data platform runs itself.
02 · Private equity
Guides to common use cases
01
→
Portfolio intelligence
02
→
Value creation tracking
03
→
Post-acquisition data integration
04
→
Due diligence
05
→
Portfolio company reporting
06
→
LP and investor reporting
07
→
Portfolio monitoring
See all the transformations we can do →