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L7 Informatics

L7 Informatics offers L7ESP, a unified platform that contextualizes scientific data and orchestrates complex workflows to eliminate operational silos in life sciences organizations. This platform enhances efficiency by streamlining processes from sample management to reporting, resulting in measurable improvements in productivity and data accessibility.

Traction 10/10
Austin, United States · HQ
Founded 20121555K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Biotechnology
  • Enterprise Software
  • Software Only
Updated 23 months ago

Funding

Raised to date

$38MRaised 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

1 founder

Vasu Rangadass

CEO

Product

Problem

Life sciences organizations often struggle with fragmented scientific data and disconnected workflows, leading to operational silos and inefficiencies. This lack of integration hinders productivity and limits data accessibility across different departments and processes.

Solution

L7 Informatics offers L7|ESP, a unified platform designed to contextualize scientific data and orchestrate complex workflows, thereby eliminating operational silos within life sciences organizations. The platform streamlines processes from sample management to reporting, providing a complete chain of study and enabling the management of complex workflows. By integrating disparate systems and data sources, L7|ESP enhances efficiency, improves data accessibility, and facilitates better decision-making. The platform's adaptable and customizable nature allows it to meet the specific needs of various scientific enterprises, ensuring both control and compliance.

Target Audience

The primary target audience includes life sciences organizations, such as pharmaceutical companies, biotech firms, and research institutions, seeking to improve data management, streamline workflows, and enhance operational efficiency.

Features

  • Process orchestration to streamline and automate scientific workflows.
  • Centralized data management for improved data accessibility and contextualization.
  • Adaptable and customizable platform to meet specific organizational needs.
  • Integration of disparate systems and data sources to eliminate data silos.
  • Comprehensive chain of study from sample to report for complete data traceability.
  • Scheduling functionality to efficiently manage personnel, equipment, and resources.
  • Low-code/no-code authoring tool (L7|MASTER) for creating custom applications and workflows.
This profile is AI-generated and may contain inaccuracies.