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Carbon Data Layer
What Carbon Data Layer is
Carbon Data Layer captures research instrument readouts as versioned datasets for querying, sharing, and analysis. Each dataset preserves the instrument, run, and configuration that produced it. Teams receive a managed Postgres database with a visual data model and support for images, files, and waveforms. Instrument output becomes queryable by Carbon’s analysis and applications systems. Users can grant access to shared data rather than sending copies, while reads and writes are recorded against a name. Role-based and resource-level permissions cover instruments and datasets, with an audit trail for commands, edits, and access decisions. Deployments can run on-premise inside a customer boundary with segmented networks and limited egress. Hardware connections support SCPI over VISA, Modbus TCP/RTU, NI-DAQmx, and HTTP, alongside extensible versioned YAML profiles. A Python-first workspace includes pandas, NumPy, collaborative editing, and managed compute. An AI agent plans instrument calls from natural-language instructions within role permissions. Pricing is available by inquiry.
Who it suits
Carbon Data Layer is presented for biotech, life sciences, electronics and hardware R&D, academic research, materials, and energy teams. It suits labs needing governed, traceable instrument data and analysis workflows.
What it does well
- Versioned datasets preserve instrument lineage
- Managed Postgres with rich data types
- Role and resource permissions
- On-premise deployment option
- Python analysis workspace
What to know first
- Pricing requires contacting sales
- Implementation starts with forward-deployed engineers
- No stated security certification
- Designed for research and engineering workflows
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Carbon | Pricing by inquiry; book a demo to discuss your lab, instruments, workflows, and compliance needs | On request |
| Custom pricing | Contact sales for a walkthrough and pricing context | On request |
As carbonplatform.ai lists them, read 4 Oct 2026. The maker's own page has the final word.
Verdict
Carbon Data Layer links instrument output, provenance, governance, and analysis in one platform. Prospective teams must request pricing and discuss their instruments, workflows, and deployment needs.
Facts from Carbon Data Layer's own pages
- 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, 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, 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, 4 Oct 2026
- Analysis
- Carbon provides a Python-first workspace on instrument datasets, with pandas, NumPy, collaborative editing, and managed compute. · carbonplatform.ai, 4 Oct 2026
- Audit trail
- Commands, edits, and access decisions are recorded and queryable after the fact. · carbonplatform.ai, 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, 9 Oct 2026
- Data pipeline
- Instrument output lands as versioned datasets that are immediately queryable from analysis and applications. · carbonplatform.ai, 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, 9 Oct 2026
- Governance
- The platform lets teams grant access to shared data, and records reads and writes against a name. · carbonplatform.ai, 4 Oct 2026
- Instrument profiles
- Teams can use shared, versioned YAML profiles for instruments and extend them for their hardware. · carbonplatform.ai, 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, 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, 9 Oct 2026
- Lineage
- Each dataset records the instrument, run, and configuration that produced it. · carbonplatform.ai, 4 Oct 2026
- Permissions
- Carbon supports role-based access and resource permissions for individual rigs and datasets. · carbonplatform.ai, 9 Oct 2026
- Pipeline
- Instrument output becomes queryable by Carbon’s analysis and applications systems. · carbonplatform.ai, 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, 4 Oct 2026
- Provenance
- Each dataset records the instrument, run, and configuration that produced it. · carbonplatform.ai, 9 Oct 2026
- Purpose
- Carbon Data Layer turns instrument readouts into versioned, governed research datasets that teams can query and share. · carbonplatform.ai, 9 Oct 2026
- Sales and support
- The pricing page invites prospective customers to book a 30-minute demo or email sales, and says the team will follow up within one business day after a message. · carbonplatform.ai, 9 Oct 2026
- Security
- Carbon says deployments can run on-premise inside the customer’s boundary with segmented networks and limited egress. · carbonplatform.ai, 4 Oct 2026
- Security detail
- The opened maker pages describe access controls and audit records but do not state a security certification or compliance standard. · carbonplatform.ai, 9 Oct 2026
- Support and deployment
- Carbon says engagements start with forward-deployed engineers who map instruments and workflows and help stand up the stack; its pricing page offers a 30-minute demo and says it will follow up within one business day. · carbonplatform.ai, 4 Oct 2026
- Who it is for
- Carbon presents the platform for biotech and life sciences, electronics and hardware R&D, academic and research labs, and material science and energy teams. · carbonplatform.ai, 4 Oct 2026
Where Carbon Data Layer stands on Freedom251
- Data Version Control Tools#33 of 36