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On the recordRead 9 Oct 202623 facts
Carbon Data Layer
Plans and prices
Custom pricing
Priced on request
Contact sales for a walkthrough and pricing context
Read 9 Oct 2026 · carbonplatform.ai
Carbon
Priced on request
Pricing by inquiry; book a demo to discuss your lab, instruments, workflows, and compliance needs
Read 4 Oct 2026 · carbonplatform.ai
On the record
- Access controls
- Carbon describes role-based and resource-level permissions that scope access to instruments and datasets, with an audit trail for commands, edits, and access decisions.carbonplatform.ai · read 4 Oct 2026
- Access governance
- Users can grant access to data instead of emailing copies, and every read and write is recorded against a name.carbonplatform.ai · read 9 Oct 2026
- AI agent
- Carbon’s AI agent plans instrument calls from natural-language instructions, shows planned steps, and acts through permissions scoped to the user’s role.carbonplatform.ai · read 4 Oct 2026
- Analysis
- Carbon provides a Python-first workspace on instrument datasets, with pandas, NumPy, collaborative editing, and managed compute.carbonplatform.ai · read 4 Oct 2026
- Audit trail
- Commands, edits, and access decisions are recorded and queryable after the fact.carbonplatform.ai · read 9 Oct 2026
- Database
- Each team gets managed Postgres with a visual schema designer and support for images, files, and waveforms as first-class types.carbonplatform.ai · read 9 Oct 2026
- Data pipeline
- Instrument output lands as versioned datasets that are immediately queryable from analysis and applications.carbonplatform.ai · read 9 Oct 2026
- Deployment
- Carbon says its platform can be deployed on-premise inside a lab boundary with segmented networks and limited egress.carbonplatform.ai · read 9 Oct 2026
- Governance
- The platform lets teams grant access to shared data, and records reads and writes against a name.carbonplatform.ai · read 4 Oct 2026
- Instrument profiles
- Teams can use shared, versioned YAML profiles for instruments and extend them for their hardware.carbonplatform.ai · read 4 Oct 2026
- Integrations
- The maker describes analysis and applications as reading the same datasets; it does not name third-party Data Layer integrations on the opened page.carbonplatform.ai · read 9 Oct 2026
- Intended users
- Carbon describes its platform for research and engineering labs, including biotech, electronics and hardware R&D, academic research, and materials and energy labs.carbonplatform.ai · read 9 Oct 2026
- Lineage
- Each dataset records the instrument, run, and configuration that produced it.carbonplatform.ai · read 4 Oct 2026
- Permissions
- Carbon supports role-based access and resource permissions for individual rigs and datasets.carbonplatform.ai · read 9 Oct 2026
- Pipeline
- Instrument output becomes queryable by Carbon’s analysis and applications systems.carbonplatform.ai · read 4 Oct 2026
- Pricing availability
- The pricing page asks prospective customers to book a demo or contact sales and does not display a price.carbonplatform.ai · read 4 Oct 2026
- Provenance
- Each dataset records the instrument, run, and configuration that produced it.carbonplatform.ai · read 9 Oct 2026
- Purpose
- Carbon Data Layer turns instrument readouts into versioned, governed research datasets that teams can query and share.carbonplatform.ai · read 9 Oct 2026
