V7 Go

Automating multi-modal tasks using GenAI reliably, at scale.

5.0•2 reviews•

382 followers

Automating multi-modal tasks using GenAI reliably, at scale.

5.0•2 reviews•

382 followers

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Automation tools

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LLMs

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AI Infrastructure Tools

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. Check our latest release and new features here: https://www.v7labs.com/go/summer-release

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Launch tags:Productivity•SaaS•Artificial Intelligence

Launch Team

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V7 Go

Maker

📌

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!

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2yr ago

@albertorizzoli сongratulations on the release of V7 Go! Processing documents and extracting information from them frees up more time!

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2yr ago

Respire

@albertorizzoli v7 looks amazing! I would love to take a peek under the hood. Thanks for sharing this product with the PH community, I’m excited to play around with various model options

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2yr ago

Respire

@albertorizzoli awesome product V7 team, congratulations on the launch!

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2yr ago

Jaeves: Content & Marketing AI Copilot

@albertorizzoli congratulations on the launch of V7 Go. I like the homepage and the UI/UX-Design. I can't wait to try it out!

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2yr ago

@albertorizzoli Amazing product!

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2yr ago

congratulations on the launch. I like the ability to choose different models. Any plans of integrating customs models, like with Huggingface?

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2yr ago

V7 Go

Maker

@sanjuruk We're prioritizing multimodal LLMs at the moment but exploring the integration of HF models as tools that LLMs can call. For example if you need to run a bespoke classifier or detector as a workflow step. If there's any use case you have in mind let me know.

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2yr ago

@albertorizzoli exciting, I'll let you know

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2yr ago

V7 Go

Maker

@sanjuruk hey Sanju! Thank you for your comment. Yes, we are considering several ways of integrating external models into V7 Go, and integrating with Huggingface is one of them. Which Huggingface models would you use if we had said integration?

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2yr ago

@sanjuruk @andreaazzini1 aaaaaaaassss

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2yr ago

@sanjuruk @albertorizzoli eeeeeeeeeee

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2yr ago

Fantastic to see generative AI being harnessed for automating tasks! How does V7 Go handle complex documents with multiple data formats? Congratulations on the launch, team!

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2yr ago

@viswanatha Thank you for your support! We are constantly improving V7 Go to better handle complex documents with mixed data formats. Stay tuned for upcoming updates!

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2yr ago

That's a powerful idea and seem to be solid implementation. One thing I didn't get from the description: can V7 recognize and convert into textual data graphic information? I mean literally graphs or photos without text.

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2yr ago

V7 Go

Maker

@vorniches Tables are understood very reliably, photos too, but graphs as images are trickier to solve, especially if dense. Histograms work well but a scatter plot is better of being read via its native data than as an image for now.

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2yr ago

Outsite

Love how simple this makes some tedious tasks. Interface is really intuitive. Pricing could be more accessible though. Especially for customers that might have some more ad hoc tasks.

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2yr ago

V7 Go

Maker

@stijnbe Thank you! What level of usage do you think is appropriate to use for free? If you've hit the cap while prototyping let me know your team ID and we can extend it.

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2yr ago

Lancepilot

Super cool how you integrated GenAI to automate task. I love the minimalist design and the free trial. Congratulations!

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2yr ago

@odeth_negapatan1 thanks Odeth!

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2yr ago

OpenMeter

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!

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2yr ago

V7 Go

Maker

@slashdotpeter Thank you! That's a cool use case, if you haven't yet tried the collection type property give it a spin, I think that would be prefect for structuring the data. Ping me if you need any help.

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2yr ago

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5.0

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