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Workflow & Automation
Transcriptic
Transcriptic logo
Workflow & Automation

Transcriptic

Transcriptic is a cloud-based automated life sciences research platform that enables scientists to design, run, and analyze biological experiments remotely through a web interface. The platform transforms traditional wet-lab workflows into programmable, reproducible digital protocols that are executed by robotic systems in centralized facilities. Researchers can design experiments using a visual protocol editor or programmatically via APIs, then schedule them to run on automated liquid handlers and analytical instruments. Transcriptic handles all the physical lab operations, data collection, and sample management, allowing scientists to focus on experimental design and data analysis rather than manual bench work. The platform serves academic researchers, biotech startups, and pharmaceutical companies who need scalable, reproducible biology without investing in expensive lab infrastructure or specialized personnel. By providing remote access to automated laboratory capabilities, Transcriptic accelerates research timelines, improves experimental reproducibility, and reduces operational costs associated with traditional wet-lab research.

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Key Features

Visual Protocol Designer

A drag-and-drop web interface that allows researchers to design complex biological experiments without writing code, using pre-built components for common laboratory operations.

Programmatic API & SDK

A comprehensive REST API and Python SDK that enables researchers to programmatically design, schedule, and monitor experiments, integrating laboratory automation directly into computational workflows.

Remote Laboratory Execution

Fully automated execution of biological protocols in certified laboratory facilities using robotic liquid handlers, incubators, and analytical instruments, with real-time monitoring and status updates.

Integrated Data Management

Automatic capture, organization, and storage of all experimental data including raw instrument outputs, metadata, execution logs, and processed results in a centralized, searchable repository.

Automated Sample Tracking

Comprehensive sample management system that tracks biological materials throughout their lifecycle using barcoding and LIMS integration, from receipt through processing to final disposition.

Real-time Experiment Monitoring

Live dashboard showing experiment progress, instrument status, and preliminary data as protocols execute, with configurable alerts for completion or deviation events.

Pricing

Pay-As-You-Go

Usage-based pricing per experiment
  • ✓Access to web-based protocol designer
  • ✓Basic data storage and visualization
  • ✓Standard sample handling and processing
  • ✓Access to core laboratory instruments
  • ✓Email support during business hours
  • ✓No minimum commitment or subscription fee
  • ✓Transparent pricing per operation type

Enterprise

Custom pricing via sales consultation
  • ✓Dedicated account management and technical support
  • ✓Customized service level agreements (SLAs)
  • ✓Enhanced data security and compliance features
  • ✓Priority scheduling for time-sensitive experiments
  • ✓Custom protocol development assistance
  • ✓Volume discounts for high-throughput workflows
  • ✓Advanced data analysis and integration services
  • ✓Training and onboarding for research teams

Use Cases

1

High-throughput Screening for Drug Discovery

Pharmaceutical researchers use Transcriptic to run large-scale compound screening campaigns against biological targets. By programming automated protocols for cell culture, compound addition, and assay readouts, they can test thousands of compounds in parallel without manual intervention. This accelerates early-stage drug discovery while ensuring consistent assay conditions and reducing variability that can obscure true hits.

2

Synthetic Biology and DNA Assembly

Synthetic biologists leverage Transcriptic's automated liquid handling for Gibson assembly, Golden Gate cloning, and other DNA construction methods. The platform enables rapid iteration through design-build-test cycles by automating tedious pipetting steps and ensuring precise reagent mixing. Researchers can test multiple genetic construct variants simultaneously, dramatically increasing experimental throughput for metabolic engineering and genetic circuit development.

3

Academic Research Reproducibility

University research groups use Transcriptic to enhance the reproducibility of their published work. By encoding experimental protocols in the platform's digital format, other labs can exactly replicate conditions and procedures. This addresses the reproducibility crisis in biological sciences while allowing students and postdocs to focus on experimental design and data analysis rather than repetitive manual techniques.

4

Biotech Startup Lab Operations

Early-stage biotech companies without dedicated laboratory facilities use Transcriptic as their virtual wet lab. They can conduct proof-of-concept experiments, generate data for investor presentations, and advance projects toward milestones without capital expenditure on lab equipment or hiring specialized technical staff. This reduces time to initial data and extends runway by converting fixed costs to variable experimental expenses.

5

Clinical Sample Processing and Analysis

Clinical researchers process patient-derived samples for biomarker discovery and validation studies. Transcriptic's automated systems ensure consistent sample handling, reduce batch effects, and maintain sample integrity through standardized protocols. The platform's audit trails and sample tracking provide necessary documentation for regulatory compliance while enabling high-throughput processing of precious clinical specimens.

How to Use

  1. Step 1: Create an account on the Transcriptic website and complete the onboarding process, which includes setting up payment information and reviewing safety protocols for biological materials.
  2. Step 2: Design your experimental protocol using the web-based visual editor, which provides drag-and-drop components for common lab operations like pipetting, centrifugation, incubation, and plate reading.
  3. Step 3: Alternatively, program experiments using the Transcriptic API or Python SDK for more complex, programmatic control over experimental parameters and conditional logic.
  4. Step 4: Prepare and ship your biological samples to Transcriptic's certified laboratory facilities, following specific packaging and shipping guidelines provided during onboarding.
  5. Step 5: Schedule your experiment through the web dashboard, selecting desired timing and priority levels, with the system providing cost estimates and timeline projections.
  6. Step 6: Monitor experiment progress in real-time through the dashboard, which shows status updates, instrument telemetry, and preliminary data as the automated systems execute your protocol.
  7. Step 7: Access completed experimental data through the web interface, including raw instrument outputs, processed results, and metadata about execution conditions and any deviations.
  8. Step 8: Analyze results using integrated analysis tools or export data in standard formats (CSV, JSON, HDF5) for further processing in external bioinformatics or statistical software.
  9. Step 9: Iterate on experimental designs by cloning and modifying previous protocols, leveraging version control features to track changes and maintain reproducibility across research projects.
  10. Step 10: Scale experiments by adjusting parameters in the protocol editor or using the API to run high-throughput screens with automated sample tracking and data management.

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