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FlaskTrack Laboratory Operations & Data Platform
Laboratory operations · scientific data · instruments · compliance

FlaskTrack

The operating platform for modern laboratories

Run workflows and protocols, track batches and samples, manage inventory and lots, design molecular work, connect instruments, build data pipelines, analyze results, preserve laboratory knowledge, and govern regulated execution from one connected system.

From experimental design to bench execution to instrument data to review and release, FlaskTrack keeps the work, the data, and the evidence connected.

Replace disconnected lab software with one operating layer

FlaskTrack brings together the systems laboratories usually spread across an ELN, LIMS, inventory tools, spreadsheets, instrument folders, molecular design software, reporting databases, and compliance records. Every layer works from the same laboratory context instead of creating another silo.

Workflows, protocols, and real-time execution Turn procedures into controlled, versioned workflows with scheduled steps, required inputs, structured data capture, assignments, hold points, and review. Explore workflow execution →
Batch and sample traceability Follow samples, cultures, batches, transfers, lineage, state changes, observations, files, failures, and downstream work without reconstructing history. Explore sample tracking →
Inventory, lots, locations, and consumption Manage materials from supplier and lot context through storage, reservation, consumption, shortages, protocol requirements, and procurement decisions. Explore laboratory inventory →
Molecular Studio Design, annotate, version, review, and release sequences, plasmids, primers, PCR designs, and assemblies inside the same platform that executes the work. Explore Molecular Studio →
Instrument connectivity Connect instruments through local agents, file watchers, parsers, and integrations; ingest results, map positions to samples, and move runs into controlled review. Explore instrument connectivity →
Data Studio, pipelines, and reporting Query operational data, build dashboards, run custom Python and R pipelines, transform scientific datasets, create exports, and feed your own data lake. Explore data and reporting →
ELN, files, notes, and laboratory knowledge Keep experimental notes, SOPs, papers, validation records, images, and files searchable and connected to the laboratory entities they describe. Explore the laboratory notebook →
Compliance, validation, and audit controls Build approvals, electronic signatures, audit evidence, roles, validation records, review gates, and controlled execution directly into day-to-day laboratory work. Explore compliance controls →
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.

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.

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.

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.

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.

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.

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.

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.

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
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.

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