Big milestone for Reducto: we’ve raised a $75M Series B led by a16z, bringing our total funding to $108M. Since our launch, we’ve been obsessed with pushing the limits of what’s possible when AI meets the real-world messiness of documents. We’ve now processed 1B+ pages, nearly 6x the pages since our Series A less than 6 months ago. We’re doubling down on model research, developer tooling, and the reliability that production AI demands. We'll be announcing a series of product improvements that will extend our capabilities even further, helping our customers get even closer to perfect accuracy across their most challenging docs. A big thank you to everyone who helped get us here. But we're just getting started - if you're interested in what we're doing, we’re hiring across all functions! reducto.ai/careers

bruh

. @modal dojo is very cool like an oss tinker with more supported models you can hack on yourself needs better marketing! would have used earlier if I had known about it

one of the best things openai/anthropic could do is support arbitrary OIDC issuers then you wouldn’t need to give BYOK tools your creds and setup a trust policy instead. of course if their servers are fully compromised it could still be abused but it would seriously help.

we built classify out of the pain of seeing customers use our extract endpoint to sort documents, which is an overkill when just need to find out what each document is. classify is a smaller, purpose-built endpoint that's: > faster > costs 0.5 credits per page > has already processed nearly 1m pages. around the same time, we also rolled out batch for less time-sensitive workloads, giving parse + extract jobs a 20% credit discount. in this video, our engineering team walks through how both came directly from patterns we saw in customer workflows!

disagree with a lot of his takes but this is a good one. a ton of the leaders in AI I’ve talked to consider gradual disempowerment/transhumanism an eventuality. it’s scary.

@OrnnExchange ?

changed the default model for my main agent thread in raubot (my personal agent) to muse glimmer! very unexpected subagents still do most of the coding and are kept as opus

muse writes so well damn

with r-1, we've replaced a long pipeline of specialized models with one model that sees the whole page. that ultimately translates into fewer handoffs where context can get lost. we invited @ani_0203_ and @chuyishang to walk through a few of the edge cases they worked on, from watermarks and handwriting to figure summaries that use the surrounding page for context. really proud of what the team built here!

I wish there was a subscription I could pay for that gave me access to try SaaS that is locked behind “Contact Sales” - really useful especially for sales demos where I could tell my agent to point out flaws within their existing product experience that could be fixed by my software

cloudflare is too good

The cambrian explosion of internal apps after releasing this should be studied. Every customer can get a unique demo page or benchmark. A dashboard for every product rollout etc. All done without compromising security. Insane work @abhiarya!!