Technology Partners & Laboratory Integrations

Your product can focus on what it does best

Laboratory technology companies build highly specialized products. An instrument manufacturer may spend years improving measurement quality, optics, robotics, firmware, or analytical performance. A scientific software company may solve a very specific modeling, analysis, visualization, or automation problem.

Customers increasingly expect those specialized products to connect to the rest of the laboratory. Samples need identities. Instrument runs need context. Results need somewhere to go. Files need provenance. Workflows need to know when a device was used. Analysis needs access to structured data. Reports need to connect back to the work that generated them.

Building all of that internally can pull a vendor far beyond its core product. FlaskTrack provides another path: connect your technology to a laboratory operations platform that already understands the surrounding scientific workflow.

Hardware manufacturers Connect instruments, robotics, sensors, readers, imaging systems, analytical equipment, and other laboratory devices.

Scientific software vendors Exchange samples, files, analyses, derived results, metadata, and workflow context with a connected laboratory system.

Laboratory automation Connect liquid handlers, robotics, workcells, plate handling, orchestration, and automated laboratory processes.

Scientific services Connect sequencing, testing, synthesis, analytical services, CRO workflows, and other external scientific data providers.

A FlaskTrack integration connects your product to the laboratory around it

The goal is not simply to move a file from one application to another. A useful laboratory integration preserves the scientific and operational context surrounding that data.

Samples Associate measurements, analyses, files, and external results with stable sample identities, lineage, metadata, and relationships.

Workflows & protocols Connect your product to the procedure being executed, the workflow version in use, and the laboratory operation that produced the result.

Instruments & runs Preserve instrument identity, run identifiers, files, observations, positions, and sample mappings.

Inventory & materials Relate work to ingredients, reagent lots, consumables, tools, and laboratory storage locations.

Scientific computation Feed data into Python, R, SQL, and reusable computational pipelines while retaining provenance.

Reporting & APIs Make integrated data available to reports, dashboards, exports, APIs, and downstream systems.

Your product remains the specialized scientific technology. FlaskTrack provides the connected laboratory context around it.

Hardware partnerships

Give your instrument a direct path into the customer's laboratory record

Many instruments already generate exactly what is needed for a practical integration: reliable result files, run identifiers, measurements, positions, timestamps, or a vendor API. The customer should not have to manually move those outputs through folders, spreadsheets, an ELN, a LIMS, analysis scripts, and reporting systems.

FlaskTrack can connect instrument output directly to the laboratory operation that produced it. Depending on the device, an integration may use exported files, a vendor API, a local network source, FlaskTrack Agent, or a dedicated connector.

Register the physical instrument and its configuration
Capture instrument run identity and timestamps
Preserve original vendor output files
Parse structured measurements where appropriate
Map wells, lanes, tubes, positions, or other locations to samples
Associate results with batches, workflows, and protocol execution
Feed resulting data into analysis and reporting
Preserve review, provenance, and audit context

File exports CSV, JSON, XML, images, instrument-native exports, and other machine-generated files.

Network sources Watch local directories, network shares, gateways, instrument workstations, and accessible export locations.

Vendor APIs Build deeper integrations around vendor-provided REST APIs, services, or structured interfaces.

FlaskTrack Agent Deploy a lightweight connector close to the instrument on Linux, Windows, macOS, or Docker.

Explore Instrument Connectivity

Software partnerships

Connect specialized scientific software to the operational laboratory

Scientific applications do not need to duplicate sample management, workflow execution, inventory, instrument records, authentication, reporting, and laboratory traceability simply to participate in a customer's broader data environment.

A software integration can exchange structured information with FlaskTrack while your platform continues to own the specialized scientific capabilities that differentiate it.

Receive laboratory context Work with samples, batches, files, projects, instruments, workflows, and other structured laboratory records.

Return scientific results Publish derived measurements, analyses, files, classifications, metadata, or other results back into the laboratory record.

Trigger downstream work Make partner-generated results available to workflows, review processes, reports, and additional analytical steps.

Integrate through APIs Exchange structured information without requiring researchers to manually export and re-upload files between applications.

Integration options

Meet FlaskTrack at the integration boundary your product already provides

We do not expect a vendor to redesign an existing product around FlaskTrack. We can collaborate around the most appropriate boundary for the hardware, software, service, or data involved.

REST API Exchange structured records, metadata, files, results, and operational data through APIs.

File-based connector Integrate existing vendor exports without requiring changes to instrument firmware or mature legacy software.

Vendor parser Translate a vendor-specific format into structured instrument runs, positions, observations, metadata, and files.

FlaskTrack Agent Run connectivity near laboratory hardware and inside local networks without requiring the instrument itself to communicate directly with FlaskTrack.

Custom connector Build a purpose-designed integration where a deeper product-to-product relationship provides a better customer experience.

Data pipeline integration Feed vendor data into Python, R, SQL, normalization, scientific analysis, or reporting workflows.

Built for technical integrations

A modern foundation for laboratory software and data

FlaskTrack itself is built in Rust with PostgreSQL at the center of its structured laboratory data model. We designed the platform around explicit types, durable relational data, tenant isolation, APIs, background workers, structured execution, and integrations rather than treating connectivity as an afterthought.

Rust FlaskTrack's application and integration services are built in Rust for strong typing, predictable performance, memory safety, and reliable long-running services.

PostgreSQL Laboratory records are modeled in PostgreSQL with structured relationships between organizations, samples, workflows, instruments, files, inventory, and scientific data.

API-first integration surfaces Structured APIs allow external products to exchange laboratory context and results without depending on browser automation or fragile UI integrations.

Cross-platform edge connectivity FlaskTrack Agent supports Linux, Windows, macOS, and Docker so integrations can run close to laboratory hardware when necessary.

Scientific computation Connected data can continue into Python, R, and SQL pipelines instead of ending at the point of ingestion.

Traceable data model Integrations can retain the relationships between source systems, instruments, raw files, samples, workflows, users, analyses, reviews, and final results.

If your engineering team wants to discuss schemas, APIs, parsers, transport, deployment, authentication, data ownership, or the shape of a production connector, we are happy to start there.

What a connected customer workflow can look like

The best integration is one the scientist barely has to think about.

The scientist begins laboratory work. Samples, batches, protocols, materials, and workflow context already exist in the laboratory record.
Your product performs its specialized role. An instrument measures, software analyzes, automation executes, or an external service processes the scientific work.
The integration transfers data automatically. Files, measurements, identifiers, status, metadata, or structured results move without a manual copy-and-paste step.
FlaskTrack adds laboratory context. Results are associated with the relevant instrument, sample, batch, workflow, protocol, user, or other operational records.
The result continues through the laboratory. Data can move into review, Python/R/SQL analysis, reporting, APIs, or downstream workflows.

Your customer gets a connected workflow without your team having to recreate an ELN, LIMS, workflow engine, reporting system, and laboratory data platform around your product.

Example · instrument manufacturer

Imagine you manufacture a plate reader

Your engineering team should be able to concentrate on measurement quality, optics, firmware, calibration, instrument control, and the scientific capabilities that differentiate the device.

A customer still needs to know which samples occupied each well, which protocol was being executed, which reagent lots were used, where the raw file belongs, who reviewed the results, how the data was analyzed, and where the final report came from.

A FlaskTrack integration can connect those two worlds.

1. Prepare. The customer creates samples or a batch and executes the appropriate workflow.
2. Run. Your plate reader performs the measurement using its normal instrument software.
3. Ingest. The result reaches FlaskTrack through a supported export, agent, API, or connector.
4. Map. Plate wells are associated with the customer's sample records.
5. Analyze. Structured observations can enter Python, R, or SQL pipelines.
6. Review. Scientists can review the instrument run and associated data.
7. Report. Results become available to reports, exports, APIs, and downstream workflows.

Your plate reader remains the measurement platform. FlaskTrack provides the operational, computational, and reporting context surrounding the measurement.

Partnership models

We are interested in more than one-off integrations

The right relationship depends on the product and customer need. We are open to working directly with vendors on supported technical integrations as well as broader commercial partnerships.

Official integrations Collaborate on a supported FlaskTrack integration for your hardware, software, or scientific service.

Reference connectors Establish a repeatable integration pattern that customers can deploy alongside your product.

Joint customer solutions Work together when customers need your specialized technology and FlaskTrack's broader laboratory operations platform.

Co-marketing Demonstrate how the combined products create a complete connected laboratory workflow.

OEM & embedded opportunities Where the product and market make sense, discuss deeper technical or commercial integration models.

Strategic partnerships Build longer-term relationships when our technologies, customers, and product roadmaps complement one another.

Why vendors benefit from a connected laboratory platform

Integration can make your existing product more useful to customers without requiring you to own every adjacent part of laboratory informatics.

Reduce customer handoffs Eliminate repetitive download, rename, upload, spreadsheet, and copy-and-paste workflows.

Add scientific context Connect your outputs to samples, experiments, materials, workflow execution, and other laboratory records.

Improve product stickiness Become part of the customer's everyday laboratory workflow instead of an isolated tool used at a single step.

Expand downstream value Let data generated by your technology flow into analysis, reporting, APIs, and additional scientific operations.

Avoid rebuilding commodity infrastructure Keep your engineering effort focused on your differentiated scientific technology rather than recreating generic laboratory systems.

Create joint customer value Present customers with an integrated workflow spanning specialized technology and the broader laboratory operation.

We are actively looking for early technology partners

FlaskTrack's integration ecosystem is expanding now. Hardware and software vendors who work with us early can collaborate directly with our engineering team on connector behavior, data models, parsers, APIs, deployment patterns, documentation, and the customer experience.

You do not need to arrive with a complete integration specification. If your product belongs in a biotechnology or research laboratory and there is a meaningful flow of data or workflow context between our platforms, that is enough to start a conversation.

Technical collaboration Work directly with the FlaskTrack engineering team to determine the right integration architecture.

Integration visibility Become part of a growing ecosystem of connected laboratory hardware, software, and scientific services.

Joint opportunities Show customers how the combined technologies solve a broader laboratory workflow than either product addresses alone.

Frequently asked questions

Does our product need an API? No. Depending on the product, FlaskTrack can integrate through files, network shares, local agents, vendor APIs, structured exports, or custom connectors.

Can you support our proprietary file format? Potentially. For integrations that make sense for customers and the FlaskTrack ecosystem, we are interested in collaborating on vendor-specific parsers and normalization.

Do you only partner with instrument manufacturers? No. We are interested in scientific software, automation, laboratory services, analytical platforms, data providers, biotechnology suppliers, and other products that interact with laboratory operations or scientific data.

Can the integration be jointly supported? Yes. Where appropriate, we want integrations that both organizations can document, support, test, and confidently present to customers.

Are you open to commercial partnerships? Yes. Depending on product and market fit, we are open to joint solutions, co-marketing, OEM or embedded discussions, and broader strategic partnerships.

What should we send you first? Tell us what your product does, who uses it, what data it produces or consumes, and where you think a FlaskTrack integration could improve the customer workflow.

Build a connected laboratory ecosystem with us

If you build laboratory hardware, scientific software, automation, analytical technology, biotechnology services, or another product that belongs inside the modern laboratory, we would like to hear from you.

Tell us what you build, how customers use it, and what information should flow between our platforms. We can work together to determine whether the right solution is an API integration, vendor parser, FlaskTrack Agent connector, file-based workflow, custom integration, or a deeper technology partnership.

Become a Technology Partner Explore Connectivity Developer Documentation

Instrument manufacturers · scientific software · laboratory automation · analytical platforms · biotechnology suppliers · laboratory services · scientific data providers

Build connected laboratory products with FlaskTrack