Announcing VectorCat - the world’s first data catalog for biotech companies and research institutions! Biotech companies are currently moving their data to the cloud. How do we know? We have conducted 50+ interviews with the industry representatives, from scientists to CEOs. What problems do they face? It’s difficult to navigate data, and for scientists with no coding skills, it often means no direct access to it. To address this, we have developed VectorCat - a data catalog specially tailored for bio data. What’s in it: ⚫ Semantic Search: Immediately find relevant data from all the connected systems (connects with Benchling, SharePoint, Power BI etc). ⚫ Data lineage: Trace every single step through your pipeline - from the bench top to AWS S3 and final figures/reports. ⚫ Easy UI: Designed for research and business teams. ⚫ Powerful API: Tailored for engineers and AI, allowing professionals to build their own automations. 🚀 Join our Early Access Program: Shape the future: Influence our product roadmap directly. Exclusive Support: Enjoy free, dedicated support. Lifetime Discount: Receive discount for life on our services. We want to accelerate progress in biotech/pharma and to provide them with timely access to data. If you know someone who may take advantage of that, please spread the word or tag them in comments! P.S. After our LinkedIn announcement about the new internal search platform, people were asking "where is the cat on the website?" We've heard you - here it is! #datacatalog #biotech #pharma #datamanagement #dataintelligence
sci2sci
IT-Dienstleistungen und IT-Beratung
sci2sci - search engine for open data | VectorCat - data catalog for biotech & pharma
Info
Meet VectorCat, the world’s first data catalog designed exclusively for the biotech and pharma industries. At sci2sci, we understand that data is the backbone of innovation in biotechnology and pharmaceuticals, yet managing it effectively remains a significant challenge for many professionals. That’s where VectorCat steps in. With VectorCat, we empower scientists, data engineers and business professionals to easily find and understand data in their organization. Why VectorCat? * Tailored to Your Industry: VectorCat is built to support bio-specific data formats. * User-Centric Design: Featuring an easy-to-navigate user interface for non-technical users, and a powerful API for tech-savvy engineers and AI applications. * Data Without Borders: Our platform supports seamless integration with various systems and cloud providers and allows to trace data pipelines throughout their whole cycle. * Governance and Security: We ensure that your data not only remains under your control but is also governed by robust permissions and security policies to safeguard against unauthorized access and breaches. Of course, this all is supported by the sci2sci search engine with semantic search and data attribute search embedded. Drop us a line or book a meeting at: https://www.sci2sci.com/.
- Website
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https://www.sci2sci.com/
Externer Link zu sci2sci
- Branche
- IT-Dienstleistungen und IT-Beratung
- Größe
- 2–10 Beschäftigte
- Hauptsitz
- Berlin
- Art
- Personengesellschaft (OHG, KG, GbR etc.)
- Gegründet
- 2022
Orte
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Primär
Berlin, DE
Beschäftigte von sci2sci
Updates
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sci2sci's Demo Day with SIBB Startups at Le Wagon Germany - thank you! We have received so many compliments about our pitch - and we are proud indeed of us making this journey to the great product that people want and need! However, we wouldn't be there without you, and we would like to say huge thanks: To the SIBB e.V. - Digitalverband Berlin & Brandenburg's team Etta Dannemann, Urte Zahn, Mario Liebrenz, Ron SIBB for all the kind support we have received during the incubation programme, and to Senatsverwaltung für Wirtschaft, Energie und Betriebe and Europäischer Sozialfonds (ESF) for their generous financial support! To Oliver Krist, Carsten Zaddach, Patrick Boden, Dash Markova, Tina Dreisicke 🌱, Dr. Arndt Schwaiger, Mara Milena Suter, Vivek Sharma and other experienced mentors for this great opportunity to learn from you! To our friends who spent hours providing expert feedback on our product ideas (and who came to hug us on the Demo Day!): Pavel Boldyrev, Mikhail Kindulov, Iaroslav Amerkhanov, Julia Este, Arina Naumova, Christian Betancourt. To Benjamin Wilkening, Lina Schüre and Eduardo Roldan Isaac - for your kind words at the Demo Day. To Benjamin Knorr and Konstantin v. Richthofen for the critical legal support (I frankly can't think of a better legal support experience for the startups!) ... and of course to our fellow startup teams who have shared this 10-month journey with us: Neeta Birajdar, Aishwarya (Ash) Patki, Sofia Bercigli, Leonard Petter, Naimmy Runge, Selin Südemer, Alain Missala, Mustafa Cakir, RTTP, QPIP, Hannah Ziemer, Christoph Körner. Very excited - and looking forward to what's coming right now!
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Reverse-engineering Allen Institute for Brain Science’s work Last week we participated in a conference on single-cell and spatially resolved technologies, and our goal was to show how VectorCat can make bio data traceable even in highly complex pipelines. … so we took perhaps the most advanced work combining spatial transcriptomics and single-cell RNA sequencing in the mouse brain led by Hongkui Zeng - and mapped what has been done at [almost] each step of data collection, processing and analysis, and how all of these steps were connected to each other. What we got is a pretty complex map of data product dependencies (top of the poster). Each box on the map represents a data asset (or an asset group) with description, information about the owner, and the link to the asset itself. Understanding what has been done was not easy - and I find it even harder to understand how people navigate all this complexity while doing such work 😱 Is there a secret tech behind it? Curious to hear from data & tech leaders Shoaib Mufti, Carol Thompson, Michael Wang, Rob Young, Brian Staats, Mischa Vernescu-Dragos, Tyler Mollenkopf! Kudos to the manuscript authors: Zizhen Yao, Cindy van Velthoven, Michael Kunst, Delissa McMillen, M.S., M.B.A., Changkyu Lee, Jeff Goldy, Aliya Abdelhak, Matthew Aitken, Katherine Baker, Eliza Barkan, Darren Bertagnolli, Ashwin Bhandiwad, Cameron Bielstein, Prajal Bishwakarma, Jazmin Campos, Dan Carey, Tamara Casper, Anish Bhaswanth Chakka, Shane Vance, Katherine Wadhwani, Boaz Levi, Carol Thompson, Chelsea M Pagan, PhD, PMP, Lauren Kruse, Nick Dee, Susan Sunkin, Luke Esposito, Michael Hawrylycz, Jack Waters, Lydia Ng, Kimberly Smith, Bosiljka Tasic
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Hey fellow Berlin-based bioinformaticians, join us for “Current Topics in Bioinformatics” conference on June 17th. Our team will address the challenge of creating infrastructure for data integration in life sciences, and there are lots of other exciting posters and talks: Jan-Philipp Junker, Max Delbrück Center: Cell Fate Decisions in Regeneration and Cancer Daniel L. & Marie Schott, lab of Nikolaus Rajewsky, Max Delbrück Center Open-ST: High-Resolution Spatial Transcriptomics in 3D Henrik Seidel, Bayer: Spatial Biology as a Tool for Drug Discovery and Development Marie VIDAL, PhD-MBA, Max Delbrück Center: New MDC-Bruker-Center & OMNIA: Insights and Collaboration Offers Christina Kuhn, Fraunhofer IZI: Using Single-Cell Multi-Omics to Develop a Virtual Twin (VT) for Personalized Cancer Immunotherapy – CERTAINTY EU-project Artür Manukyan, Max Delbrück Center: VoltRon: A Spatial Omics Analysis Platform for Multi-Resolution and Multi-omics Integration using Image Registration Atanas Kamburov, Owkin & Stefan Florian, Charité - Universitätsmedizin Berlin: A Multi Omic Spatial Atlas In Cancer, the MOSAIC Project Martin Seifert, 10x Genomics: New Possibilities For Biomarker Discovery: Gain A New View On Biology With Single Cell And Spatial Analysis Chairs: Klipp Edda, Humboldt-Universität zu Berlin; Uwe Ohler, Max Delbrück Center; Martin Vingron, Max Planck Institute for Molecular Genetics (MPI-MG) and Bertram Weiss. The conference is organized in collaboration with HealthCapital Berlin-Brandenburg and Berlin Partner für Wirtschaft und Technologie GmbH. Reach out to Jasmin Podufall for any questions - and find the link to registration in comments!
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How much can AI increase productivity? Is it x2? x5? x10? We found use cases in biotech with x50-100 gains! Have a look at the video below where we explain (in simple terms!) how a complex 2-3 day process was implemented in just 5 min. Let us know what you think - and if you can come up with further use cases for automating your everyday tasks. #AI #datamanagement #metadata #AIautomation
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🧬 Why Data Lineage? Case for Biotech 🧬 In the biotech industry, where precision and accuracy are non-negotiable, understanding the journey of data — from origin to conclusion — is extremely important. This is where data lineage comes into play. ❓ What is Data Lineage? Data lineage is the tracking of data flow. It shows where information originates, where it moves, how it is changed over time and who has access to it. ❓ Why is Data Lineage important? ▪ Regulatory Compliance and Auditing: Biotech companies operate under stringent regulatory frameworks like FDA guidelines in the U.S. or European Medicines Agency standards in Europe. Data lineage allows for comprehensive tracking of data, which is essential for audits and ensuring that data used in drug development, clinical trials and production meets all legal standards. ▪ Catch errors before they catch you: Mistakes in biotech can be costly and dangerous. With data lineage, if something looks off, researchers can trace back to where the error started and fix it fast — saving time, money, and maybe more. ▪ Intellectual Property Protection: Maintaining clear records of data provenance supports the protection of patents and trade secrets. Data lineage ensures that all manipulations and derivations of data are documented, which is crucial during patent filings or defending against infringement. ▪ Decision making with confidence: Data lineage provides insights into the reliability and relevance of data, aiding in better risk management and strategic planning. With VectorCat, you can trace your data’s every move, ensuring accuracy and reliability from lab to launch. Why not take the guesswork out of your data processes? 👉 Interested in a demo or want to learn more? Drop us a message or visit our website to see how VectorCat can transform your data management today! #datamanagement #biodata #datalineage #biotech
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🎉 Exciting week ahead: Berlin Longevity Week, kicking off on May 6th, 2024! Brief overview: May 6: 🌐 Opening Gala [due to the overwhelming interest the gala was moved to the Langenbeck-Virchow-Haus!] 🤖 AI in Longevity Workshop at Charité with Björn Nowack, Georg Fuellen & Felix Balzer. May 7: 👩 Women Thriving in Longevity: panel discussion with Audrey Tsang, Isabelle G., Stasa Stankovic and Dr. med. Leoni Matt at Google Offices. 💸 New Funding Models: Discuss innovative longevity funding strategies with VitaDAO at Molecule AG. May 8: 🚀 Longevity Startups at Google Offices. 📈 The Latest Trends in Longevity Science - Implications for the European and US Market hosted by Roland Graser. And, of course, Rejuvenation Startup Summit on May 10-11 featuring Michael Greve, Mehmood Khan, Otto Kanzler, Marco Quarta, Dr. Alexander Schueller, Greg Fahy, Robert T. (Bobby) Brooke, Eric Verdin, Louis Hawthorne, Dobri Kiprov, Alejandro Ocampo, Lorna Harries, Stephanie Dainow, Phil Newman and many more! Huge shoutout to Dr. Emil Kendziorra, Christina J. Hanck, Guido Axmann, MD, Joachim Rautter, Dr. Andrea Gartenbach, MD and Judith Mueller for putting the programme together!
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Hey folks, would love to hear your opinion on why the go-to-market cycles are so desperately long in biotech 🧬 (up to 10+ years). Please cast your votes - and drop your thoughts in comments!
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Ever played 🙈 hide and 🙉 seek with a spreadsheet? We did too - that’s why we’ve developed our easy search engine! Now we really need your feedback on the UX/UI - because we want you to enjoy using it! 🔍 We’ve prepared a short demo video, featuring a quest for this one file buried under... well, everything? 🧬 And for our biotech friends, we added a specific example of how one can easily go “back in time” and trace 🐾 all the possible problems by quickly going through the data with filters for instruments, reagents etc. What shall you do now? Please have a look at the video and let us know 1) how we did and 2) what additional use cases you would like to have covered in the next episodes. 👀 We Want Your Feedback! Your thoughts matter a lot to us! After watching, drop us a comment, slide into our DMs, or shout out with your insights, ideas or just a hello 💌 #datasearch #dataintelligence #datacatalog #datasearchengine
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Cohort 4 of the Longevity Biotech Fellowship - May 15-19th, 2024 in Valencia, Spain Last month Dr. Angelina Lesnikova, our co-founder, travelled to Vitalia.city - a pop-up city with a goal of making death optional. Why? Because we almost agree with the quote that “the last enemy to be destroyed is death” - except that we think it’s the first one. Once we have time to live as long as we want, we’ll be able to tackle anything else. This spring, our friends from Longevity Biotech Fellowship are organizing the 4th cohort of the Longevity Biotech Fellowship to bring together scientists, entrepreneurs and thought leaders who strive to defeat aging. Why? Because we need coordinated effort of the world top talent to achieve this goal! What’s on the agenda: - Crash course on the current approaches to stop aging - Co-creation of the updated roadmap towards longevity - Networking with funders, investors, collaborators and like-minded people - Leadership Training - Community Projects - Pitching/Recruiting/Founding Participation includes: lodging, mediterranean cuisine, daily fitness programme - and, most importantly, workshops. Applications are open already - and the deadline is April, 30th. If you have questions or want to learn more, reach out to Mark Hamalainen or Nathan Cheng from LBF. Links for applications and more information in comments.
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