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V7 Go

Automate multi modal tasks using GenAI, reliably, at scale

Productivity
SaaS
Artificial Intelligence

V7 Go uses generative AI to automate tasks and document processing reliably and at scale, allowing companies to reduce the strain of back-office work and focus on what really matters. V7 Go turns images and documents into structured data.

Top comment

Hey Product Hunt 👋 We built V7 Go because multimodal foundation models are good enough to solve most of the tasks we complete at work today, but aren’t easy to run at scale and with reliable results. We believe AI should free us from back-office and administrative tasks to give us time to focus on creative and interpersonal work. About 40% of the work we’re doing on our laptops can be done just as well by frontier models if configured correctly and with the right context, so we built a product that lets you intuitively configure AI models and run them at scale on any task involving documents, video, or text. Here’s a few things it can do out of the box: ✅ Extract information from large, complex documents ✅ Qualify and categorize inbound messages, such as contact forms, and perform actions via Zapier. ✅ Classify text, emails, or images in the order of millions. ✅ Compare the performance of different LLMs across the same task. As an AI-powered database, V7 Go can be used to solve almost anything, and upon launch we’ve focused a lot of its optimizations on document processing, form understanding, and data extraction, as tasks that nobody really likes doing, but are still done in massive quantities worldwide. 💡 The idea came to us when working with a client that analyzes 300,000 scanned pages of paper per day (!) occupying thousands of human hours. We not only needed a way to use LLMs like GPT-4 reliably enough to outperform expert human analysts, but also in a way that scaled past the 1:1 chat UI, so we developed V7 Go to resemble a smart spreadsheet where every cell hosts an LLM. There is a massive workflow challenge in generative AI, where its ability to succeed relies on being able to source similar examples of a task, and understand a company’s context, so it can be more accurate well-tuned than baseline GPT-4, Claude 3, or Gemini. V7 Go abstracts away a lot of configuration burdens on the user, but has a lot going on under the hood and is built to integrate with your (internal or external) product via the API. Here’s what makes it special: 🔬 Files are turned into mini repositories where an agent can analyze text, images, tables, and reflect on how to find the right info. We call this Index Knowledge 🔬 You can control the options a model spits out using Select Properties, so it won’t just ramble on with text. This is great for integrations. 🔬 Select Properties allow you to subdivide projects into Workflows, where each stage has an AI perform a unique set of operations. 🔬 Visual grounding (this one is in limited release) lets you see where each piece of info the LLM came up with is found in the source data, even if it’s an image. 🔬 Scales up to 10 million cells per project, that’s a lot of tokens! There’s more to come, and we’d love to hear your first impressions. ➡️ Special for PH: ScoutHunt10 for 20% off V7 Go Pro. You can try it for free now, we’d love your feedback and welcome any questions!

Comment highlights

Yesterday, I had the chance to discuss the product with the V7 team and I must say: The future is here, old people! Just starting experimenting with V7 Go! Good luck!

This sounds like a game-changer for customer service teams! Have you considered integrating V7 Go with chatbots to streamline document processing and improve response times? It could revolutionize efficiency and customer satisfaction levels.

It is very interesting I will be happy to wait for updates and new features added

By leveraging generative AI, V7 Go can reliably turn images and unstructured documents into structured, usable data at scale. This frees up valuable time and resources, enabling organizations to focus on their core business priorities rather than getting bogged down in manual, repetitive tasks. Congratulations on the launch!

@albertorizzoli good way to get the get the Chat with doc started. Do we have comparison (in terms of relevance and performance) from few LLMs - GPT4, Claude 3, Gemini.

It's truly impressive witnessing the utilization of generative AI to streamline tasks. Major kudos on the launch, team!

Upvoted! Good to see GenAI being used in productivity tools! Is V7 Go an AI agent or it can only process info and data? Does your IDP support pdf scanning?

I'm particularly excited about the potential for V7 Go to automate repetitive tasks and free up time for more strategic work. Congrats on the launch and can't wait to give it a try!

Superb~! Congrats on launching on Product Hunt! Generative AI reduces my resources!

Hmm can you explain the significance of "Visual grounding" within V7 Go and how it aids in the interpretation and validation of AI-generated insights? So interesting!

Congrats! 🙌 Are there any upcoming features or developments in V7 Go that users can look forward to?

Wow, so interesting! Congrats! Are there any upcoming features or developments in V7 Go that users can look forward to?

This is awesome! We will use V7 Go to help OpenMeter customers ingest vendor costs to our unit economics feature. Image to structured data will be next level UX!