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Products that do what Chat with Orion – a visual agent that sees, reasons and acts does
Hey HN! We’re excited to share Orion [1] — our new visual agent that sees, reasons, and acts across images, videos, and documents. Frontier VLMs (GPT, Claude, Gemini) can describe what they see, but they can’t reliably act on visual inputs. Ask them to detect objects, segment images, or chain visual steps — they’ll fail in surprisingly inconsistent ways. High-res images collapse to ~1024px. And the visual AI ecosystem is fragmented across separate APIs for image understanding, OCR, image-gen, video-gen, etc. We built Orion to fix this. Orion combines VLM reasoning with reliable…
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Google's SOTA robotics model for visual & spatial reasoning!
Apr 2026 · deepmind.google
- 12MR
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make…
Jul 2026 · microsoft.github.io
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2023 · sagittarius.greg.technology
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Hey HN! I built a tool that gives LLMs the ability to understand the visual structure of a webpage even if they don't accept image input. We've found that unimodal GPT-4 + Tarsier's textual webpage representation consistently beats multimodal GPT-4V/4o + webpage screenshot by 10-20%, probably because multimodal LLMs still aren't as performant as they're hyped to be. Over the course of experimenting with pruned HTML, accessibility trees, and other perception systems for web agents, we've iterated on Tarsier's components to maximize downstream agent/codegen performance. Here's the…
2024 · github.com
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Rather than calling tools one by one, Orion 2 generates a program and runs it end to end, meaning fewer round-trips and lower latency. You can try it out at https://chat.vlm.run When orchestration is code, every workflow is composable, inspectable, and deterministic. We put together a short Orion 2 demo video: https://www.youtube.com/watch?v=rzhXcNAYQ-0
Jun 2026 · vlm.run
- 20BV
Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year (https://github.com/getomni-ai/zerox). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://getomni.ai/ocr-benchmark Github: https://github.com/getomni-ai/benchmark Huggingface:…
2025 · getomni.ai
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