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 – 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 – 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
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Active Founders
Guru Singh
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.
Satya Singh
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.
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Hello YC Community,
We're thrilled to introduce Scispot’s Lab-as-Code solution, the best data infrastructure for biotech. Think of it as the Zapier + Snowflake of biotech.
🔗 Three Pillars of Scispot 🔗
1️⃣ Self-Serve Integrations
- Problem: Labs struggle with integrating data from platforms and lab instruments, causing inefficiencies.
- Solution: Integrate with Benchling, Snowflake, LabVantage, Veeva, and lab instruments.
- Real Example: A client integrated Snowflake, Benchling, and mass spectrometer data, cutting data prep time by 50%.
2️⃣ Data Readiness for AI
- Problem: Raw data is messy, hindering effective AI applications.
- Solution: Staging lakehouse with embedded Jupyter Notebook and R Studio for data cleaning and transformation.
- Real Example: A client standardized genomic data, boosting predictive model accuracy by 20%.
3️⃣ API-First ELN & LIMS
- Problem: Traditional ELN and LIMS don't meet modern computational demands.
- Solution: Our API-First ELN & LIMS add-on is designed for computational teams.
- Real Example: A genomics lab automated 80% of workflows using our add-on.
Join us in revolutionizing biotech with AI. Let's make science faster, smarter, and more efficient.
You can book a free consultation call here.