V7

V7

Software Development

London, England 23,534 followers

The training data engine for machine learning teams developing accurate AI

About us

V7's flagship platforms, V7 Darwin, and V7 Go, allow you to turn your data into trustworthy AI models, and GenAI-fuelled automation workflows. V7 Darwin offers a complete toolkit for your training data engine: Automated labeling tools, models in the loop, annotation services, and a powerful API. V7 Go uses best-in-class foundation models from OpenAI, Gemini, and Anthropic, to allow you to automate multi-modal tasks, reliably at scale. Teach AI, and put it to work, with our platforms now: https://www.v7labs.com/

Website
https://v7labs.com
Industry
Software Development
Company size
51-200 employees
Headquarters
London, England
Type
Privately Held
Founded
2018
Specialties
healthcare, machine learning, deeplearning, data training, ai, and data ops

Products

Locations

Employees at V7

Updates

  • View organization page for V7, graphic

    23,534 followers

    Working closely with customers on cutting-edge breakthroughs in medical AI is one of the most rewarding parts of what we do. That’s why we were beyond honored when our training data platform, Darwin, was nominated for the Siemens Healthineers Start-Up of the Year Award. For the past two years, Darwin’s infrastructure has helped Siemens Healthineers to scale medical imaging annotation, using global partners to annotate their images. They have been able to annotate more than 20,000 spine X-rays, enabling them to scale their model training. Thank you to our healthcare experts, Katherine Bullock and Ciara McKibbin, who represented V7 in Erlangen, and a particular thanks to Andreas Fieselmann and the team for the nomination! #HealthcareAI #MedicalAI #Award

    • No alternative text description for this image
    • No alternative text description for this image
  • View organization page for V7, graphic

    23,534 followers

    “V7 made it possible to build a dataset we couldn't build before—fast. It’s been a real level change.” Thanks to Yembo, moving and home insurance companies can leverage AI-powered visual surveys for property inspections. However, to build their AI product, the team at Yembo needed to annotate large datasets of lengthy videos, with masks for segmentation models, and workflows that would allow the team to build custom training data pipelines. Here’s why V7 was the tool of choice: https://lnkd.in/gmNjFEfM #TrainingData #AIModels #AIProducts

  • View organization page for V7, graphic

    23,534 followers

    Prompt engineering is an invaluable asset — allowing businesses to turn natural language requests, into AI-fuelled actions. But how do you maximize the value and output of your prompts? In-house Tech Journalist Casimir Rajnerowicz has compiled the 2024 guide to prompt engineering, covering types of prompting, best practices, and the tooling that can advance prompts. Ready to create better prompts? Dive into the guide now by following the link in the comments. #PromptEngineering #Prompting #GenAI 

    • No alternative text description for this image
  • View organization page for V7, graphic

    23,534 followers

    “You can’t just throw lots of data at the problem and expect the computer to come up with a solution. We need to be quite targeted in how we approach solving problems in healthcare AI.” How do the teams from Amazon Web Services (AWS) and Franklin.ai build cutting-edge medical AI? V7’s Head of Customer Success, James Hudson, interviewed Dr Christoph Russ and Ben Johnston, Ph.D on their experience developing trustworthy healthcare AI products at scale. Missed the session? You can now access the full interview on-demand - just head to the link in the comments. #HealthcareAI #Medical #Event

  • V7 reposted this

    View profile for Veronika Vēbere, graphic

    Demand Generation Strategist | Marketing Lead @ V7 | Knowledge Work Automation with GenAI | Marketing Automation Aficianado ⚡️

    It's been an incredible three months at V7, and we can't wait to share all the exciting releases with you next week. V7 Go is excellent at solving #documentprocessing use cases with the help of #LLMs and #GenAI. It can streamline (and, in some cases, fully automate) tasks such as reviewing quarterly finance reports, legal documentation, all kinds of shipping documentation, invoice processing, and so much more. In essence, V7 Go can take care of tedious back-office work that is difficult and expensive to scale while freeing up your team's time to do more of what actually matters. Stay tuned for our premiere on YouTube on July 24th!

    View organization page for V7, graphic

    23,534 followers

    8,000 teams. 250,000 hours of work automated. And we're just getting started. Get ready for the biggest V7 Go update yet! We're rolling out new features that make AI easier to use, safer, and more trustworthy. Stay tuned and mark your calendars: July 24th, 5 PM UK time (BST) / 9 AM PDT ⏰ #NewRelease #Keynote #GenAI #V7Go

    • No alternative text description for this image
  • View organization page for V7, graphic

    23,534 followers

    Watch the premiere of our new keynote video on 24th of July. Discover how V7 Go can help you implement trustworthy AI automation at scale. We can't wait to show you what's next and how features such as Ask Go, Collections, or AI Citations can simplify your AI-powered workflows for document processing, data extraction, and much more. https://lnkd.in/dZ2Vvqvg #ai #dataextraction #idp #ocr

    This content isn’t available here

    Access this content and more in the LinkedIn app

  • V7 reposted this

    View profile for Casimir Rajnerowicz, graphic

    AI Product Marketer/Content Creator

    As AI systems become more sophisticated, they've also become harder to understand and control. This leads to the "black box" problem where we have to constantly question the reliability of AI outputs. That's why V7 Go now uses visual grounding and allows users to see exactly where AI models have drawn their reasoning from. Find out more: https://lnkd.in/dNskUEHV

    • No alternative text description for this image

Similar pages

Browse jobs

Funding