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Inniti

The startup offers an automated task-processing platform that streamlines laboratory workflows by enabling users to design, execute, and document experiments with minimal manual intervention. This technology reduces the time and costs associated with sample tracking and lab monitoring, allowing businesses to automate their experimental processes within minutes.

Copenhagen, DenmarkFounded 201793K+ followers
Updated 3 months ago

Funding

$3.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Many laboratories still rely on manual processes for data collection, sample tracking, and instrument monitoring, leading to inefficiencies and potential errors. Integrating diverse lab instruments with LIMS, ELN, or other data systems can be complex and costly, especially with legacy equipment. This lack of connectivity hinders automation, increases key person dependency, and limits the ability to optimize lab operations for sustainability and cost-effectiveness.

Solution

Inniti provides a middleware platform that connects any lab instrument to LIMS, ELN, or other data processing software, regardless of manufacturer or age. The platform automates data logging, sample tracking, and instrument control, reducing manual effort and improving data accuracy. Inniti's solution enables real-time monitoring of instrument utilization and energy consumption, facilitating energy optimization and cost reduction. The platform also supports the creation of conditional workflows without coding, allowing for the automation of complex lab processes. By standardizing data collection and automating data transfer, Inniti eliminates the need for manual data entry and USB drives, enhancing data integrity and streamlining lab operations.

Target Audience

Inniti's primary customers are laboratories in the life science, biotech, pharmaceutical, chemical, and food industries, as well as CROs, seeking to automate processes, improve data management, and optimize resource utilization.

Features

  • Connects to any lab instrument with a data port, regardless of age, manufacturer, or function
  • Automates data logging, sample tracking, and instrument control
  • Enables real-time monitoring of instrument utilization and energy consumption
  • Supports the creation of conditional workflows without coding
  • Integrates with any ELN, LIMS, or data processing software with an API
  • Provides granular sample tracking to reduce errors
  • Offers customizable dashboards for data visualization
  • Facilitates energy optimization and cost reduction
This profile is AI-generated and may contain inaccuracies.