Bobsled

Founded by Joshua Neckes

Share and deliver data products across multiple clouds, data warehouses, and AI agents

Pricing model

Demo

Rating

★ Positive

Time to value

Immediate

You can use Bobsled to build, validate, entitle, and distribute data products across multiple clouds and destinations. It connects with your existing data warehouses and storage buckets like Snowflake, Databricks, BigQuery, and Amazon S3. Automated agents test and fix quality issues before data reaches consumers. You can configure granular access policies without managing custom pipelines, allowing customers to query data directly in their preferred cloud environment. Additionally, it packages context and semantics so external AI agents like Claude or ChatGPT can query data accurately.

What Bobsled does

Connect internal data warehouses to external cloud destinationsConfigure consumer access entitlements and field masking rulesEmbed semantic metadata and context into published datasetsInspect automated quality checks to resolve schema and metric driftCreate prospect-specific sample datasets for commercial sales cyclesMonitor outgoing data distribution pipelines and active customer seatsExpose structured records to AI agents using standard interfacesDirect cross-cloud data sharing across Snowflake, Databricks, BigQuery, and S3Automated quality control agents that identify and correct data errors before distributionContext Factory that builds semantic definitions for AI agents to query recordsGranular consumer entitlement rules that apply row-level and column-level maskingSales enablement agents that create tailored sample reports for buyer evaluationsCentralized control dashboard to track data shares and access permissionsPre-built connectors for cloud warehouses, cloud object storage, and SFTP endpoints

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Databricks Claude

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