The context-native development + data platform

Build with context. Run with confidence.

From fast prototypes to mission-critical systems, Vegalake unifies organizational context, durable execution, data and AI in one platform.

Build with Vegalake Read the docs

One platform coreFor solo builders, product teams and global organizations

LIVE SYSTEM MAPCONNECTED

CODE

DATA

POLICY

VVEGALAKE CLOUD

VegaGraphcontext

VegaFlowexecute

VegaDBanalyze

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OBSERVE◆MODEL◆RETRIEVE◆ACT◆LEARN◆COMPOUND◆

The platform / three planes, one operating system

One Context Lake.
One durable runtime.
One analytical engine.

Today's stack fragments meaning across catalogs, pipelines, agents and dashboards. Vegalake makes context a runtime primitive, so every action can use what the organization knows and every outcome makes that knowledge better.

Context plane

VegaGraph

The organizational Context Lake: a typed, connected model of data, software, infrastructure, people, policy and business meaning.

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Typed organizational model
Impact and lineage
Context-aware retrieval
Evidence with every change

context plane.vl

revenue.kpi
  ← computed_from ← fact_orders
  ← written_by    ← orders_model
  ← owned_by      ← growth_data

Execution plane

VegaFlow

One durable runtime for ingestion, transformations, long-running workflows and native AI agents—built visually or in code.

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QuickFlows and DAGs
Durable state and recovery
Native and visual AI agents
Human-in-the-loop controls

execution plane.vl

source("postgres.orders")
  .incremental("updated_at")
  .load("vegadb.raw.orders")
  .schedule("*/10 * * * *")

Data + intelligence

VegaDB

SQL, vector and streaming workloads on a massively parallel engine, with flexible storage and compute placement.

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Distributed SQL
Vector retrieval
Realtime operational data
Flexible managed or open storage

data + intelligence.vl

SELECT region, sum(amount) AS revenue
FROM lakehouse.sales.orders
GROUP BY region
ORDER BY revenue DESC;

The throughline

The platform is a loop,
not a dashboard-bound pipeline.

Observe

Connect data, code, infrastructure, people and policy without stripping away their meaning.

Model

VegaGraph turns those signals into typed, connected and retrievable organizational context.

Act

VegaFlow runs pipelines, applications and agents durably using the context available at execution time.

Learn

VegaDB serves results and operational evidence; every run enriches the context for what comes next.

Progressive by design

Start at idea speed. Scale without changing platforms.

Begin with a prompt, a visual flow, SQL or Python. Add durable execution, shared context and policy as the work grows—from one builder to product teams and governed enterprise operations—without rewriting the system underneath it.

Flexible authoringUse a canvas, SQL, Python or APIs while sharing one execution history.

Progressive controlAdd identity, approvals, policy and promotion when the work demands them.

Context + evidenceEvery run reads organizational context and writes back what actually happened.

Start with the architecture

The next platform is context-native

Build the system behind the systems.

Start with one painful workflow. Let its context become the foundation for the next.

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