Move Lab Data Without Glue Code
Lab data stays stuck
Teams know the data exists. They just cannot move it.
Lab data is often split across systems that do not work well together:
- Benchling
- legacy LIMS platforms
- assay files in shared drives
- unsupported vendor systems
- brittle ETL scripts
That creates a coordination problem. Migration projects become slow, costly, and fragile. Internal teams rely on engineers to write glue code that can break the moment a schema changes. The result is the same across many labs: data is there, but it is still hard to migrate, connect, and use programmatically.
An agent coordination layer
Scispot’s A2A Framework is built for the messy reality of lab data.
Instead of relying on one monolithic AI, Scispot uses specialized agents that coordinate with each other. Scibot acts as the orchestrator. A scientist can make a request in plain English, and Scibot routes it to the right agent to analyze schemas, map custom fields, flag issues, show the migration plan, and stream progress in real time.
The framework is built on A2A for agent coordination and MCP for tool and data access. Together with Scispot Cloud, that creates an agent-native stack for migration, integration, and live lab workflows.
What teams get
Plain-English migrations
Teams can start migrations from supported platforms without writing Python scripts or opening data engineering tickets.
Connected agent workflows
Specialized agents can discover each other, delegate work, and coordinate tasks across scientific data systems.
A usable data layer for AI
Once data is in Scispot Cloud, teams can build their own agents on top of live, permissioned lab data through MCP.
How it works
Start with a plain-English request
A scientist asks for a migration or action, such as moving an antibody library from Benchling.
Scibot assigns the work
Scibot routes the request to the right specialist agent, which analyzes schema, maps fields, and prepares execution.
Get live progress and connected outputs
The system runs the work, streams progress, resumes if interrupted, and makes the data available for downstream agent workflows.
What the framework includes
Scibot orchestration
Scibot takes a plain-English request and routes it to the right specialist agent for the job.
Specialized migration agents
Agents analyze schemas, map custom fields, flag unresolved issues, and execute migrations with streamed progress.
Scispot Cloud plus MCP
Migrated data lands in a structured, permissioned data layer that customers can query and act on through MCP.
A2A coordination layer
A2A lets agents from different vendors communicate, delegate tasks, stream results, and share context.
Make lab data movable
