platoseed
The Best Data Infrastructure for Biotechs
Scispot is the best tech stack for biotech. It's the first-ever toolkit that lets you tailor it to your needs β no coding required. Think of it as a super combo of ELN + LIMS + Integrations + Analytics. You can set it up using a user-friendly interface (GUI) or by entering commands (CLI). It's about making your digital biotech dreams a reality. You can design your data infrastructure, automate your workflows and integrations and make your data ready for machine learning and artificial intelligence β all on one spot. Scispot even provides pre-made blueprints for major experiments, teamwork, and data management. Request a demo to see Scispot in action here: https://calendly.com/scispot/30min
Scispot offers an integrated operating system for labs, unifying planning, execution, documentation, and inventory with AI-assisted features and no-code/low-code tooling. It emphasizes audit-ready compliance and interoperability across instruments and data sources. The platform targets biotechs and labs seeking end-to-end lab automation and data management.
LabOS is a unified data and workflow platform built to connect experiment planning, execution, documentation, and inventory. It includes: GLUE toolkit for real-time data syncing across apps, instruments, and databases; no-code/configurable alt-LIMS/alt-LIS/alt-QMS modules; a staging lakehouse (SDMS) for lab data; LabAI with a personal AI lab assistant (Scibot) for NLP search, AI-driven workflow recommendations, and AI dashboards; a computational toolkit (APIs, Jupyter Notebook, R Studio, GPT-4) and one-click lab instrument app integration. It supports code-first automation via API, JupyterHub, Python SDK, and CLI to automate sample processing and multi-omics analysis; features for sample tracking, inventory management, and end-to-end data traceability with audit-ready compliance.
Who itβs for: Biotech startups, contract labs, diagnostic labs, pharma/industrial biotech, and research institutions seeking integrated lab operations and compliant data management.
Careers postings and mentions of customers/industry adoption; ongoing product features and vendor evaluation tools indicated
I am a biotech researcher by training but an entrepreneur at heart. This combination of scientific and business experience motivated me to start and help grow impactful ventures in the last decade. I founded a few biotech communities, a cancer foundation & biotech trade association in India, and I helped scale life science startups in US and EU such as Scientist.com, Science Exchange, and LabTwin. I tapped into all the experience I gained in biotech, SaaS, and entrepreneurship to create Scispot.
Co-founder and Chief Product & Operating officer of Scispot.io. I am an engineer turned Product Manager. My experience in tech taught me the importance of product mindset - starting from the customer and working backwards. Before starting Scispot.io, I worked for Hotels.com and Expedia building platforms. My experience in product UX, growth marketing, and platform products brought me to the life science industry that will change human lives for the better.
Say goodbye to data graveyards and hello to faster R&D progress with GLUE!
Scispot GLUE is an extension that sits on top of existing lab informatics systems (ELN/LIMS) to extract data from Benchling, Notion, and Airtable and transform it for auditing, visualization, and machine learning, addressing the data swamp in Biotech R&D for labs that use legacy and modern tools.
From the original launch (Apr 2023) β may be outdated.

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