Agentic AI AI assistants that answer with sources and take action.

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Unified Data & AI Platform

One platform they'll actually use.

Ingest. Transform. Map. Analyze. Act. All in one place. No stitching tools together. No surprise compute bills.

Replaces

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Databricks" } }{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "dbt" } }{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Airflow" } }{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "MLflow" } }{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Confluence" } }{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Alation" } }
Engineering team collaborating on data platform

The full stack. One platform.

Five layers. Zero integration headaches.

01

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Ingest" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Connectors" } }
02

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Transform" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Pipelines" } }
03

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Map" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Knowledge" } }
04

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Analyze" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "ML & Analytics" } }
05

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Act" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Agents" } }
Data pipelines and monitoring
Ingest & Transform

50+ connectors. Batch and real-time. Any source.

Connect everything from Snowflake to IoT sensors. Build transformation pipelines with sub-15-minute freshness SLAs. No Airflow. No dbt. Just Weeki.

  • { "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "50+ native connectors: databases, cloud, SaaS, IoT" } }
  • { "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Sub-15-minute data freshness SLAs" } }
  • { "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Visual pipeline builder — no Airflow, no dbt" } }
Knowledge + AI

The layer Databricks doesn't have.

Weeki adds a knowledge graph, AI agents, and semantic search on top of your data. Train models, build ontologies, and deploy intelligent workflows — all from the same platform.

  • { "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Semantic knowledge graph across all your data" } }
  • { "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "AI agents for querying, reporting, and action" } }
  • { "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "ML training and model versioning built in" } }
Team working with AI and data

vs. the alternative

Weeki
Databricks + tools
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Setup time" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "4-6 weeks" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "6-12 months" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Tools to manage" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "1" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "5-8" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Knowledge layer" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Built-in" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "None (buy another tool)" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "AI Agents" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Native" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Custom build" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Governance" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Included" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Bolt-on" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Pricing" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Predictable" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Compute-based surprise" } }
"We replaced 5 tools with one platform. Setup took 6 weeks instead of the 12 months we were quoted by Databricks."
Pierre Martin

Pierre Martin

Head of Data Engineering — Mid-Market SaaS

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "<15 min" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "data freshness" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "90%+" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "lineage coverage" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "1" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "platform to learn" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "$0" } }

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "surprise bills" } }

Common questions

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "They handle storage and compute. Weeki adds the knowledge layer, AI agents, governance, and automation on top — or replaces the whole stack. One platform instead of five." } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Yes. Import existing pipelines, wrap them in Weeki DAGs, and add monitoring, lineage, and governance without rewriting." } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Flat per-user pricing. No surprise compute bills. You know exactly what you'll pay this month and next year." } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Yes. Batch and streaming pipelines with sub-15-minute freshness SLAs. Kafka, event hubs, webhooks — all supported." } }

Stop stacking tools. Start stacking value.

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