Bobsled
Bobsled provides a unified data sharing network that lets data product teams deliver context-rich, AI-ready data natively into any cloud, warehouse, or agent environment. The platform combines native delivery to Snowflake, Databricks, and BigQuery with its Context Factory, which packages semantics and governance into portable YAML blueprints deployable to chat interfaces, MCP-compatible tools, and headless agent workflows.
- Enterprise Software
- Artificial Intelligence
- AI Agents
- Software Only
- Data & Analytics
Funding
Raised to date
$17MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Organizations that produce and sell data products often rely on legacy, custom-built delivery infrastructure involving FTP transfers, fixed-format files, and per-customer pipeline logic. These brittle systems struggle to scale across modern cloud destinations like Snowflake, Databricks, and BigQuery, delaying product launches by weeks or months and creating operational bottlenecks. Additionally, traditional context delivery does not meet the needs of modern AI agents, which require semantic understanding and governance baked into every data product.
Solution
Bobsled provides a unified data sharing network that lets organizations connect once and deliver data natively into any cloud, region, or platform, including direct delivery into AI agent environments. The platform supports sharing both files and tables directly into consumer environments, with granular governance controls that enable creating and sharing specific views of data products without replicating files. Bobsled's Context Factory packages semantics, schema definitions, and usage guidance into portable YAML blueprints that deploy wherever customers work—whether in chat interfaces, MCP-compatible tools like Claude or OpenAI, or headless agent workflows. The platform eliminates incremental egress costs and reduces storage footprint while maintaining SOC 2 and ISO 27001 certified infrastructure for sensitive workloads. Bobsled also includes agentic quality tools that find and fix data issues before they reach consumers.
Target Audience
Primary customers are data providers, data product companies, and enterprises that need to deliver large volumes of data to customers across multiple cloud platforms and regions, including organizations in property intelligence, real estate, mortgage, insurance, finance, and government sectors. The platform also serves AI-forward teams building agentic data products for commercial distribution.
Features
- Single integration enables native delivery to multiple cloud platforms including Snowflake, Databricks, and BigQuery
- Context Factory creates portable YAML blueprints with semantics, synonyms, grain definitions, and verified queries for AI-ready data products
- Versioned governance ensures every context change is reviewed, evaluated, and versioned before shipping
- Deployment options include embeddable chat agents, MCP-compatible tools for Claude/OpenAI/Gemini, and headless context packages
- Background learning system where agents observe usage patterns and propose context improvements with human-in-the-loop approvals
- Quality Line agentic tools that detect and fix data issues before delivery to consumers
- Granular governance controls allowing creation and sharing of specific data product views without file replication
- SOC 2 and ISO 27001 certified infrastructure designed for secure, sensitive data workloads
- Supports both file-based and table-based sharing formats for flexible consumer delivery