@CloudRaker

Paperwork and decision-making infrastructure for the Agentic Era

 Montreal + San Francisco
cloudraker.com
Joined December 2007
  • Tweets197
  • Following49
  • Followers1.9K
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AI decisions, classification and extraction on text and images. $0.04/million token, and 125MTok free every month
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This is CloudRaker Run. git push your AGENTS.md and get a fully fledged agent up and running, in seconds. It's agents infrastructure, without the infrastructure.
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Request early access today at cloudraker.com/run

CloudRaker Run: the home for the agents your team will build

Build agents in plain words or as code. Run them on phone numbers, email, Slack, Teams, schedules and an HTTP API. Every run is recorded with its cost.

cloudraker.com
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ship nothing, parse everything type of day.
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structured data to paper to pixels to data... the circle of strife
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Grounding extraction for paperwork Docs -> docs.cloudraker.com/paperwor… Try it -> cloudraker.com/product/extra…
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True north, strong and fast! 🇨🇦
Guillaume
@slevanatureSep 22
Jev is getting plenty of attention, but it's not alone. Canadian 🇨🇦 company @CloudRaker launched Milliseconds, a model with a very similar premise: turn text into decisions software can use, instead of generating another paragraph. Let's dig. 🧵 1/8
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This is cool demo.milliseconds.ai/

Interactive AI demos · milliseconds.ai

Try decision-machine-1 with free stock examples for routing, moderation, search, images, documents and more. Use your own API key for custom input.

demo.milliseconds.ai
Siddhartha
@sidpostingSep 19
This is cool try.cloudflare.com/
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(Also, it's built on a lot of cloudflare tunnels so we're allowed to piggyback)
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tomorrow is going to be interesting 👀
bap
@baptistelagetSep 20
OK hear me out - Jev but for images and vision (turns out we had the model sitting around)
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We built milliseconds.ai for the small decisions inside software: route a message, extract a field, find the source text. TypeScript, Python, and a CLI. $0.04/MTok in; 125M free tokens per month.

milliseconds.ai — Small model. Big decisions.

Fast AI decisions on text and images. Classify, extract, and decide with decision-machine-1. $0.04 per million input tokens. Start building free.

milliseconds.ai
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(no this was not a dramatically sped up launch when we saw a certain Jev released on tuesday, I do not know what you're talking about)
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rakedoc-nano is #2 on ParseBench for VLM document parsing. 80× cheaper than #1.
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Introducing the Paperwork API. One simple API to give agents superpowers when it comes to documents: Extract, Redact, Compose, Fill, Redline, Sign. Read below ⬇️
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more replies
Sign: a signable envelope in, a sealed and legally binding PDF out
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All the details on our blog post! cloudraker.com/journal/intro…

Introducing the Paperwork API: the whole platform, one surface — CloudRaker

The CloudRaker Paperwork API is six capabilities on one surface — extract, redact, compose, fill, redline, sign — with a citation beside every value, signed webhooks, SDKs in TypeScript and Python,...

cloudraker.com
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