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FlaskTrack Laboratory Operations & Data Platform
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Run the lab. Keep the science connected.

Make every result traceable.

From versioned protocols and scheduled steps to samples, material lots, instrument results, and review—FlaskTrack keeps the whole experiment connected.

Start a Team Workspace See FlaskTrack in action

Versioned methods · Guided execution · Sample lineage · Connected data and review

One connected experimentMETHOD → RESULT
01Versioned protocolSteps, timing, and required data fieldsExplore workflows → 02Bench executionOperator, observations, and material lotsExplore sample tracking → 03Sample and instrument resultLineage, files, measurements, and contextExplore instruments → 04Analysis and reviewReportable data and attributable decisionsExplore reporting →
See how the records connect →
Built for the way labs work

The detail behind every result

Start with the work your team needs to run. FlaskTrack keeps its methods, samples, materials, results, and review connected.

01 / EXECUTECapture the work as it happensVersioned protocols, scheduled steps, and custom forms for measurements, files, and observations.Explore workflows 02 / TRACEKnow a sample's full historySee lineage, state changes, material lots, and the people responsible for each action.Explore sample tracking 03 / CONNECTBring instrument data homeMap results to samples, preserve source files, and move runs through review.Explore instrument connectivity 04 / ANALYSEUse the data you've capturedQuery the record, build reports, and run Python or R pipelines with provenance attached.Explore reporting

See the laboratory record in action

Start with the work due today, then follow each record into the protocols, samples, materials, data, and decisions behind it.

View Plans & Pricing

Run the laboratory from the work itself

FlaskTrack is built around execution, not retrospective recordkeeping. Protocols define how work should happen. Workflow runs coordinate when it happens. Samples, materials, instruments, notes, results, approvals, and signatures capture what actually happened.

Versioned procedures Maintain controlled protocol and workflow versions so teams execute against explicit methods instead of copied documents and informal instructions.
Scheduled execution Coordinate time-dependent work, assignments, required actions, next steps, and operational queues as experiments and production move forward.
Lineage that survives handoffs Keep parent-child relationships, transfers, outcomes, files, and execution history attached as materials and samples move between people and processes.
Materials tied to execution Connect ingredients, lots, quantities, locations, reservations, and consumption to the procedures and runs that use them.
Review and approval in context Put approvals, electronic signatures, exceptions, and review checkpoints on the records and actions they govern rather than in a disconnected system.
Operational alerts Route laboratory notifications to Slack, Discord, Matrix, and external systems so the team can respond as work changes.

Scientific records that stay connected to operations

Biological catalogs, molecular designs, inventory records, notes, and researcher identity should not live apart from execution. FlaskTrack makes them reusable parts of the same operational graph so scientific context follows the work.

Researcher identity with ORCID Link team members to ORCID iDs and preserve attribution across protocols, experimental records, reviews, approvals, and collaborative research activity.
Biological and operational catalogs Organize species, strains, plasmids, ingredients, tools, suppliers, units, files, tags, and reusable laboratory context.
Sequence and plasmid design Keep sequence versions, features, plasmid links, release status, and design history connected to downstream laboratory records.
Primers, PCR, and assemblies Design and review primers, primer pairs, in-silico PCR products, assembly fragments, and construct plans without leaving the platform.
Lots and storage hierarchy Know which lot was used, where material is stored, how much remains, and which execution record consumed it.
Procurement context Maintain vendor, catalog, pricing, unit, and preferred-supplier information alongside the materials your protocols require.
Searchable laboratory knowledge Connect notes and files to samples, batches, protocols, workflows, tools, projects, and other records so knowledge can be found in context.

Connect the physical lab to the data layer

Instrument files should not end their life in network folders. FlaskTrack can bring instrument output into the same operational context as samples and runs, then make that data available to reporting, custom pipelines, downstream analysis, APIs, and review.

Local instrument agents Deploy lightweight agents near instruments to watch files, communicate with FlaskTrack, and move data into controlled ingestion workflows. Explore instrument connectivity →
Parse and normalize results Turn vendor and instrument outputs into structured runs, positions, observations, result files, and reviewable records.
Map results back to samples Associate wells, positions, and instrument observations with FlaskTrack samples so analytical data carries experimental identity forward.
Custom data pipelines Build reusable source, transform, and sink pipelines and run Python or R in isolated execution environments for laboratory-specific analysis. Explore pipelines and reporting →
Data Studio and SQL reporting Explore schemas, build SQL reports and dashboards, analyze operational data, and turn the laboratory record into a usable analytical surface.
API and external systems Use organization-scoped credentials and structured endpoints to integrate FlaskTrack with services, scripts, automation, and your broader data environment.
See Instrument Connectivity Explore the Data Layer

Compliance is part of execution, not an after-the-fact package

FlaskTrack is designed so identity, roles, approvals, electronic signatures, audit records, validation evidence, controlled procedures, and review states are generated alongside the laboratory work they govern. Teams can build a defensible operating record without maintaining a parallel compliance story.

Electronic signatures and controlled actions Apply authenticated signatures and explicit approval actions to critical laboratory records, reviews, releases, and controlled changes.
Tamper-evident audit history Preserve attributable user and API activity with integrity controls, request context, timestamps, and record history.
Roles and organization boundaries Separate responsibilities using explicit permissions for owners, administrators, scientists, technicians, viewers, and machine identities.
Validation workspace Organize validation plans, requirements, risk, qualification activities, test execution, evidence, review, and release documentation.
Hold points, approvals, and exceptions Put governance into the process with approval requirements, execution restrictions, exception handling, and review states.
Reviewable evidence and exports Produce structured reports, audit timelines, data exports, and compliance evidence from the same records used to operate the laboratory.
Explore Compliance Controls Discuss a Regulated Workflow

AI that works inside the laboratory record

FlaskTrack uses AI as an assistive layer around controlled laboratory data—not as a substitute for review. Draft workflows from source documents, query reporting data, retrieve laboratory knowledge, and accelerate structured work while preserving the records humans need to inspect.

Workflow generation from documents Turn methods, SOPs, and source material into draft protocols, steps, ingredients, tools, timing, and structured metadata for human review.
Knowledge retrieval Use indexed laboratory files and notes to answer questions from the organization's own knowledge base instead of searching disconnected folders.
AI-assisted reporting Translate plain-language analytical questions into report queries and iterate against the structured laboratory schema.
Human review remains visible Keep source records, generated drafts, edits, approvals, and subsequent actions connected so assisted work remains inspectable.

Built for laboratories where execution matters

FlaskTrack is designed for teams that need more than an electronic notebook: they need to coordinate biological work, maintain lineage, connect materials and results, preserve knowledge, and understand what is happening across the laboratory in real time.

Biotech startups Establish one operational foundation for molecular design, experiments, samples, inventory, instruments, data, knowledge, and governance before silos become infrastructure. Explore biotech operations →
Tissue culture laboratories Control media preparation, initiation, subculture, rooting, acclimation, contamination, technician work, inventory, and culture lineage. Explore tissue culture operations →
Mycology operations Track cultures, isolates, spawn, substrate batches, contamination, production schedules, harvests, inventory, and yield history. Explore mycology operations →
Academic and research laboratories Preserve methods, experimental records, files, researcher attribution, samples, and institutional knowledge across changing students and projects. View academic options →
Regulated and quality-driven programs Coordinate controlled procedures, signatures, approvals, validation, audit evidence, permissions, review, and release in the same operational system. Explore compliance controls →
Independent and early-stage laboratories Start with structured protocols, inventory, samples, notes, and experimental history instead of building the laboratory around spreadsheets that must later be replaced. Explore FlaskTrack for Individuals →
Start a Team Workspace Discuss Your Operation

Built to become infrastructure, not another data trap

Your laboratory system should be governable, inspectable, and interoperable. FlaskTrack is built around organization boundaries, explicit permissions, auditability, APIs, portable data, and export paths that keep your operational history accessible.

Role-based access control Apply explicit permissions across owners, administrators, scientists, technicians, viewers, and API principals.
Attributable activity Record critical human and machine actions with request context, integrity checks, timestamps, and related records.
Organization isolation Keep team data and actions scoped to the organization with controlled boundaries throughout the application and API surface.
API-first integration Connect laboratory automation, internal systems, scripts, and downstream tools without forcing every workflow through manual export and import.
Portable scientific and operational data Use reports, CSV, JSON, HTML, Parquet, API access, and data-lake-oriented outputs to keep laboratory data useful beyond the application interface.
Customer-controlled records Maintain ownership of laboratory records and retain clear controls around access, retention, export, integrations, and AI-assisted features.

Evaluate the whole laboratory platform

Laboratory software is often purchased one category at a time: an ELN here, inventory there, another system for samples, separate molecular tooling, instrument folders, and a reporting stack beside all of it. Compare FlaskTrack on the breadth of the operating model, not a single feature checklist.

Beyond a traditional LIMS Compare sample-centric recordkeeping with a platform that also coordinates execution, molecular work, instruments, pipelines, knowledge, inventory, and compliance. Explore the LIMS alternative →
Beyond research recordkeeping Connect experiment planning and documentation to real-time operations, materials, lineage, analytical data, review, and organizational controls. Explore research management →
Beyond an electronic notebook Keep notes and files connected to protocols, samples, inventory, instruments, executions, structured data, and the wider laboratory record. Explore the integrated ELN →
Map FlaskTrack to your current stack If your lab already uses multiple systems, we can discuss which workflows FlaskTrack can consolidate, which systems should remain, and where integration makes more sense. Discuss your requirements →
Discuss Your Requirements Review FlaskTrack Pricing
Founding Customer Pricing

Start at 50% off. Know exactly what you will pay later.

FlaskTrack gives new customers 50% off their first 12 months. Your standard renewal price is published from the beginning—before you register, migrate data or build your laboratory around the platform.

Real first-year savings

Receive the full platform at 50% off for your first 12 months.

Published renewal pricing

See the normal monthly price now—not after your team is dependent on the system.

No artificial lock-in

Export your laboratory records and reports without a data-release fee.

Built to remain economically practical as your laboratory grows.

FlaskTrack does not use a nearly free entry offer followed by an undisclosed, dramatically larger contract. Introductory and standard prices are shown together so you can evaluate the actual long-term cost before adopting the platform.

50% off first year

Researcher

For independent researchers, consultants and early-stage biotechnology teams.

First 12 months

$ 85 /month

Standard price: $170/month

After your first year $170/month Published upfront. No renewal quote required.
  • 1 full-access user
  • Integrated ELN, LIMS and laboratory operations
  • Molecular Studio
  • Inventory and procurement management
  • Protocols, workflows, batches and samples
  • AI-assisted laboratory tools
  • Standard reporting and exports
  • REST API access
  • 100 GB cloud storage
  • Documentation and community support
Start Researcher Plan
Most Popular
50% off first year

Team

For collaborative research teams, growing laboratories and biotechnology startups.

First 12 months

$ 350 /month

Standard price: $700/month

After your first year $700/month Clearly stated before registration.
  • Up to 10 full-access users
  • Unlimited read-only auditor and investor accounts
  • Electronic signatures and audit trails
  • Compliance and validation support
  • AI document Q&A and protocol generation
  • API integrations and webhooks
  • Advanced reporting and data lake exports
  • 1 TB cloud storage
  • Priority email and chat support
Start Team Plan
Commercial deployment

Enterprise

For regulated businesses, multi-site organizations and private infrastructure.

Annual commercial licensing

Custom

Scoped according to infrastructure, deployment, validation and support requirements.

Premium, high-touch implementation

Enterprise and on-site installations are substantial commercial engagements, not discounted self-service subscriptions.

  • Commercial and enterprise licensing
  • On-site installation
  • Private cloud deployment
  • Isolated or customer-managed infrastructure
  • Custom user licensing
  • Enterprise SSO and identity integrations
  • Migration and implementation services
  • Validation and compliance packages
  • Dedicated onboarding and SLA options
Discuss Enterprise Licensing
No hidden renewal tier

The post-discount price is displayed directly beside the introductory price.

No data-release fee

Export your laboratory data and reports without paying to regain access to them.

No mandatory long-term contract

Standard cloud subscriptions remain available monthly, with annual billing optional.

Founding Customer Offer: Introductory pricing applies to eligible new subscriptions started during the launch period and remains active for the first 12 consecutive months of continuous service. The published standard plan price applies afterward unless another written agreement is in place.

Additional Team users: The Team plan includes up to 10 full-access users. Additional full-access users are $29 per user, per month. Read-only auditor, regulator and investor accounts do not incur additional user charges.

Storage: Researcher includes 100 GB and Team includes 1 TB. Additional storage is billed at $5 per 50 GB, per month. Usage notifications are provided before overage charges apply.

Enterprise deployments: On-site, private-cloud and custom commercial deployments are separately scoped. Infrastructure, installation, validation, migration, training, maintenance and support requirements affect the final license fee.

Privacy, security, and legal commitments

FlaskTrack is operated as laboratory infrastructure. Customer data remains customer-owned, is not sold, and is not used to create generalized commercial AI training datasets.

Terms of Service Platform terms covering ownership, acceptable use, availability, termination, and liability.
Privacy Policy How FlaskTrack collects, processes, protects, and retains account and laboratory information.
Security & Infrastructure Hosting, storage, access controls, monitoring, backups, audit logging, and incident response.
Data Processing Addendum Controller and processor responsibilities, subprocessors, retention, deletion, and protection obligations.
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