Electronic laboratory notebook · AI knowledge base · connected records
Turn laboratory notes into connected, searchable institutional knowledge
FlaskTrack combines flexible electronic laboratory notes with protocols, workflows, batches,
samples, biological catalogs, files, reports, operational history, and an organization-controlled
AI Knowledge Base.
Document scientific work, connect every note to the records it describes, and selectively
index laboratory knowledge for grounded conversations with your organization’s AI Assistant.
Laboratory knowledge should not live in disconnected documents
Conventional electronic notebooks often preserve written observations while separating them
from the protocols, samples, batches, materials, schedules, and operational events that provide
their meaning. FlaskTrack keeps laboratory documentation connected to the underlying work and
makes selected knowledge available through AI-assisted retrieval.
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Connect notes to real records
Link documentation directly to batches, samples, protocols, workflows,
ingredients, tools, species, plasmids, suppliers, files, and reports.
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Preserve institutional knowledge
Turn experimental reasoning, troubleshooting, decisions, methods, and observations
into durable knowledge that remains available as projects and teams change.
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Use knowledge in AI conversations
Index selected notes and files so authorized users can ask the FlaskTrack AI Assistant
questions grounded in the organization’s own laboratory documentation.
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Reduce documentation sprawl
Replace fragmented documents, private notebooks, shared folders, and chat history
with one organized laboratory knowledge environment.
Flexible writing for scientific and operational work
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Markdown laboratory notes
Create structured notes using headings, lists, tables, links, checklists,
code blocks, images, references, and formatted scientific content.
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Embedded laboratory records
Embed cards and links for batches, samples, protocols, workflows, ingredients,
tools, files, and other FlaskTrack entities directly inside a note.
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Files and supporting evidence
Attach images, instrument output, spreadsheets, source documents, certificates,
raw data, presentations, and other supporting files.
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Tags and organization
Organize notes by project, experiment, method, program, species, department,
investigation, campaign, or internal classification.
Documentation that participates in laboratory operations
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Experiment and study records
Document hypotheses, experimental plans, variables, observations, interpretations,
conclusions, follow-up work, and links to the executed records.
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Methods and troubleshooting
Preserve internal procedures, optimization notes, recurring failure patterns,
corrective actions, and lessons learned alongside formal protocols.
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Team collaboration
Share documentation across the organization, reference team members,
coordinate review, and keep operational knowledge visible to authorized users.
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Controlled visibility
Keep sensitive notes private where required or make them available to the
appropriate organization members through role-based access controls.
Build an AI Knowledge Base from your laboratory documentation
Every laboratory note can become more than a static document. FlaskTrack allows authorized
users to selectively index notes and supporting files into an organization-controlled
AI Knowledge Base. That indexed knowledge can then be used during AI Assistant conversations,
helping teams retrieve methods, observations, decisions, troubleshooting history, and internal
guidance through natural-language questions.
Responses remain grounded in the laboratory’s own indexed material and preserve links back
to the original source records, allowing users to verify context before acting on scientific
or operational information.
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Index notes into the AI Knowledge Base
Select the laboratory notes and supporting files that should become available
for organization-wide assisted retrieval.
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Ask questions through the AI Assistant
Use conversational questions to retrieve information from indexed experiments,
procedures, observations, troubleshooting records, and internal documentation.
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Grounded, source-linked responses
Return to the original note or file to verify context, review the complete record,
and preserve human responsibility for scientific interpretation.
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Organization-controlled knowledge
Control which records enter the knowledge base, which users can access them,
and when indexed documentation should be removed from assisted retrieval.
Use accumulated knowledge across the organization
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Retrieve prior experimental context
Find earlier observations, conclusions, method changes, failure analyses,
and related work without manually searching every notebook entry.
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Reuse troubleshooting knowledge
Surface documented corrective actions, contamination investigations,
equipment issues, optimization attempts, and lessons learned.
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Connect answers to operational history
Follow references from indexed notes back to the related samples, batches,
protocols, files, measurements, and execution records.
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Support onboarding and continuity
Help new and existing team members retrieve organization-specific procedures,
terminology, decisions, and historical context without relying on tribal knowledge.
Share and export without trapping your records
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Portable document exports
Export laboratory notes into formats suitable for archiving, review,
collaboration, printing, and use outside the platform.
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Controlled external sharing
Provide collaborators, customers, auditors, or reviewers with read-only access
without exposing the broader organization workspace.
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Temporary access
Use expiring access controls for documents that should be available externally
for a limited review or collaboration period.
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Review-ready output
Produce clean, printable documents for technical review, customer packages,
diligence, internal approvals, and laboratory records.
Built for scientific traceability, retrieval, and review
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📝 Create structured laboratory notes using Markdown, tables, links,
checklists, images, and supporting files
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🔗 Embed and reference batches, samples, protocols, workflows, materials,
tools, catalogs, and other operational records
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🧬 Preserve the relationship between written observations, sample lineage,
protocol execution, measurements, and outcomes
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📥 Selectively index notes and files into an organization-controlled
AI Knowledge Base
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💬 Use indexed laboratory knowledge during AI Assistant conversations
and natural-language retrieval
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📖 Review source-linked responses and return to the original note or file
before making scientific decisions
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📤 Export and share documentation for review, collaboration,
archiving, or external delivery
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🛡️ Maintain access, source context, audit history,
and accountable human review
More than a notebook attached to your laboratory
FlaskTrack makes documentation part of the operational system itself. Scientific reasoning,
experimental records, methods, files, and institutional knowledge remain connected to the
protocols, samples, batches, materials, people, and outcomes that give them meaning.
By indexing selected documentation into the AI Knowledge Base, your team can carry that
accumulated knowledge into every authorized AI Assistant conversation without separating
answers from their original scientific sources.
