Meet your AI
lab coworkers.
Scibot is a library of specialist AI agents that use your lab’s governed data, scientific context, and memory to search, analyze, prepare, report, and carry out approved digital work.
One request. A team of specialist agents.
Built for scientific and operational work across
Biotech
Diagnostics
Pharma
Research
Trusted by 200+ life science labs
Useful lab AI needs more than a model.
It needs to know your lab.
Which samples were used. Which method version ran. What failed QC. What your team decided. Useful answers start with connected scientific context.
Data without context
Files alone do not explain the experiment that produced them.
Knowledge is fragmented
Methods, history, decisions, and exceptions live across systems and people.
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Chat stops at advice
Someone still has to complete the work after the answer appears.
Actions need control
Real lab actions need permissions, rules, approvals, and traceability.
Generic chatbot
Answers from prompts and the context you supply.
Copilot
Helps a person summarize, draft, and decide what to do next.
Scibot
Uses governed lab context, specialist agents, and approved tools to complete bounded digital work.
Scibot is the AI coworker layer of Scispot LabOS. Its value comes from the records, context, permissions, and tools connected underneath it.
Scibot works from
the lab you actually run.
Samples
Identity, lineage, location, and status.
Experiments
Protocols, runs, observations, and results.
Methods & SOPs
Current procedures and document versions.
Instrument data
Raw results, metadata, and related runs.
Workflow state
What is ready, blocked, or awaiting review.
Memory
Earlier exceptions, evidence, and decisions.
Scientific memory
Every experiment informs the next.
“What happened the last three times this assay failed?”
The moat is not the model. It is the governed lab context the model can use.
You ask.
Omega assembles the team.
Scibot Omega understands the request, plans the work, coordinates specialist agents, and brings their outputs back into one connected result.
Understand
Plan
Delegate
Coordinate
Verify
Return
Omega coordinates the agents working on a task. Orchestrate coordinates the lab workflow.
Specialists for recurring
scientific work.
Choose the job. Scibot coordinates the relevant expertise across your lab’s records and supported tools.
Search & Discovery Agent
Wet Lab Agent
Dry Lab Agent
Analyze Agent
Report Agent
Plate Agent
Execute Agent
Use approved Scispot tools and integrations to create, update, generate, or synchronize digital work.
Actions follow permissions
The conversation is the interface.
The work is the output.
Scibot can turn governed context into analyses, experimental plans, reports, and approved record changes. The deliverable matters more than the message that produced it.
01
Analyses & QC
Prepare configured calculations, comparisons, QC outputs, and visualizations from relevant scientific data.
02
Protocols & plate plans
Prepare structured methods, run plans, materials lists, and plate layouts for the next human review.
03
Reports & exports
Use governed data and configured templates to prepare reports and supported PDF, Excel, or CSV outputs.
04
Records & follow-up work
Create or update supported records, tasks, and workflow state where the user and agent have permission.
Give agents responsibility.
Keep human control.
Access, tools, rules, and review gates define what Scibot can do. Scientific, Quality, and regulated decisions stay with the right people.
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Permission-aware
Agents operate within approved access boundaries.
Confirmation-aware
Sensitive actions can require explicit confirmation.
Human-gated
Scientific, Quality, and regulated decisions can require review.
Context-aware
Work starts from governed scientific records and relationships.
Tool-bounded
Actions use defined Scispot and connected tools.
Exception-aware
Unexpected states can stop execution and escalate to a person.
Know what the agent did.
For important workflows, preserve the chain behind an agent-assisted action.
Agents become useful
when the lab underneath is ready.
Scibot works across the connected data, scientific context, workflow rules, and approved tools of the Scispot lab operating system.
Scibot · Reason + plan · Omega coordinates the specialist agents.
GLUE
Smart Actions
Jazz
Scibot
Trust Vault
MCP + APIs
Use the AI interface
that works for your team.
Work with Scibot inside Scispot, or connect compatible external assistants through Scispot MCP. Approved context and supported actions stay governed by the workspace underneath.
Permission-aware access
Use the approved context and tools available to your role.
Task-relevant context
Retrieve the scientific context needed for the request.
Controlled customer data
Customer scientific data is not used to train or fine-tune shared models.
Scibot is optional. Use the AI interface and access boundaries that fit your lab.
Add AI coworkers.
Keep the systems that work.
Start with one recurring request and the context it needs. Connect supported systems, define the boundaries, and expand from a workflow your team can review.
01
Connect the right context
Bring the relevant samples, results, methods, and documents into governed Scispot context.
02
Define the boundaries
Agree which agents and tools can act, which records they can access, and where approval is needed.
03
Review usable work
Start with a clear output. Check the evidence, review the result, and refine the workflow.
What changes
Less searching
Less repetitive analysis
Faster reporting
More reusable knowledge
What should your lab automate first?
Find a useful first workflow. Answer seven practical questions and leave with a personalized pilot plan, required inputs, safeguards, and a way to measure success. No signup or email required.
Find the first lab task worth automating.
Answer seven practical questions about one real workflow. Leave with a recommended first pilot, required inputs, review safeguards and a way to measure success.
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Chosen by labs that set the standard
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