Scispot

About Scispot

Scispot provides a data infrastructure platform that automates sample tracking, integrates laboratory workflows, and centralizes data management for biotech labs. By enhancing traceability and compliance, Scispot increases sample processing capacity by 50% and reduces data entry time by 50%, enabling labs to operate more efficiently.

<problem> Biotech, diagnostics, and testing labs often struggle with fragmented data, manual workflows, and disconnected systems, leading to inefficiencies, errors, and compliance risks. Traditional ELN, LIMS, and SDMS systems are designed for record-keeping rather than providing actionable intelligence. This makes it difficult for labs to efficiently manage samples, track experiments, and ensure data integrity, ultimately slowing down scientific breakthroughs. </problem> <solution> Scispot offers a data infrastructure platform designed to automate sample tracking, integrate laboratory workflows, and centralize data management, creating a unified lab ecosystem. The platform connects instruments, software, and databases, ensuring seamless data flow and complete visibility. By centralizing and harmonizing lab data, Scispot prepares it for AI and machine learning, transforming fragmented data into actionable insights. The platform automates sample logging, tracking, and organization, ensuring every sample is labeled, recorded, and audit-ready. </solution> <features> - Lab Operating System (LabOS) unifies data and workflows into a single platform - alt-LIMS offers a flexible LIMS with no-code and API configuration - alt-ELN provides a flexible electronic lab notebook for wet and dry labs - GLUE toolkit links apps and instruments and harmonizes data - Scispot AI provides an AI lab assistant - Labflows automates sample-centric lab workflows - Labsheets offers scientific databases with templates - Connectors & Agents enable one-click lab instrument and app integration - Integrates experiment planning, execution, documentation, and inventory tracking into one platform - Automates inventory management, alerting users before supplies run low and ensuring seamless reordering - Code-First Lab Automation: API, JupyterHub, Python SDK, and CLI allow users to automate sample processing, analyze multi-omics data, and integrate lab workflows through code - AI-powered analytics and custom dashboards - Compliant with 21 CFR Part 11 and ALCOA principles </features> <target_audience> Scispot is designed for biotech, diagnostics, and testing labs, including startups, CROs, pathology labs, biobanks, and molecular diagnostics labs. </target_audience>

What does Scispot do?

Scispot provides a data infrastructure platform that automates sample tracking, integrates laboratory workflows, and centralizes data management for biotech labs. By enhancing traceability and compliance, Scispot increases sample processing capacity by 50% and reduces data entry time by 50%, enabling labs to operate more efficiently.

When was Scispot founded?

Scispot was founded in 2020.

Founded
2020
Employees
18 employees

Find Investable Startups and Competitors

Search thousands of startups using natural language

Scispot

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

Scispot provides a data infrastructure platform that automates sample tracking, integrates laboratory workflows, and centralizes data management for biotech labs. By enhancing traceability and compliance, Scispot increases sample processing capacity by 50% and reduces data entry time by 50%, enabling labs to operate more efficiently.

scispot.io10K+
Founded 2020

Funding

No funding information available.

Team (15+)

No team information available.

Company Description

Problem

Biotech, diagnostics, and testing labs often struggle with fragmented data, manual workflows, and disconnected systems, leading to inefficiencies, errors, and compliance risks. Traditional ELN, LIMS, and SDMS systems are designed for record-keeping rather than providing actionable intelligence. This makes it difficult for labs to efficiently manage samples, track experiments, and ensure data integrity, ultimately slowing down scientific breakthroughs.

Solution

Scispot offers a data infrastructure platform designed to automate sample tracking, integrate laboratory workflows, and centralize data management, creating a unified lab ecosystem. The platform connects instruments, software, and databases, ensuring seamless data flow and complete visibility. By centralizing and harmonizing lab data, Scispot prepares it for AI and machine learning, transforming fragmented data into actionable insights. The platform automates sample logging, tracking, and organization, ensuring every sample is labeled, recorded, and audit-ready.

Features

Lab Operating System (LabOS) unifies data and workflows into a single platform

alt-LIMS offers a flexible LIMS with no-code and API configuration

alt-ELN provides a flexible electronic lab notebook for wet and dry labs

GLUE toolkit links apps and instruments and harmonizes data

Scispot AI provides an AI lab assistant

Labflows automates sample-centric lab workflows

Labsheets offers scientific databases with templates

Connectors & Agents enable one-click lab instrument and app integration

Integrates experiment planning, execution, documentation, and inventory tracking into one platform

Automates inventory management, alerting users before supplies run low and ensuring seamless reordering

Code-First Lab Automation: API, JupyterHub, Python SDK, and CLI allow users to automate sample processing, analyze multi-omics data, and integrate lab workflows through code

AI-powered analytics and custom dashboards

Compliant with 21 CFR Part 11 and ALCOA principles

Target Audience

Scispot is designed for biotech, diagnostics, and testing labs, including startups, CROs, pathology labs, biobanks, and molecular diagnostics labs.

Want to add first party data to your startup here or get your entry removed? You can edit it yourself by logging in with your company domain.