Anything is the perfect blend of AI and human assistant.
We detect tasks directly from your world (email, calendar, life) and complete them before they even hit your to-do list. You swipe. We move. No dashboards, no micromanaging.
Unlike productivity tools that need constant input, or VA services that sell hours, Anything owns the follow-through. A stable lead assistant backed by automation and a trained human squad closes the loop for you.
What you get:
Detect early โ We surface tasks before they steal your attention Delegate instantly โ Say it once (or less), never babysit Done right โ Human where it matters. AI where it doesnโt.
Built for professionals with more life than time. Skip the drag. Stay focused. Weโll handle Anything else.
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Anything.so's answer:
Anything blends AI and human support to detect, delegate, and complete tasks before they reach your to-do list. Unlike tools that need constant input or VAs that need managing, we own the follow-through, so work moves without you.
Anything.so's answer:
Weโre not selling hours or more dashboards. Anything is a managed service powered by automation and a stable assistant squad. We detect tasks from your life, not just your tools, and we handle them end to end. No training, no micromanaging, just outcomes.
Anything.so's answer:
High-velocity professionals with more life than time: founders, freelancers, operators, and executives who are drowning in admin but allergic to drag. They donโt need help doing work, they need the work gone.
Anything.so's answer:
We built Anything because we were overwhelmed by the meta-work of running companies, yet tired of patching together tools and managing more people. We needed true delegation: fast, smart, and affordable. So we built the platform we wish existed.
Anything.so's answer:
Anything.so's answer:
Based on our record, ZIR Semantic Search seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hi Dmitry, I am cofounder of ZIR AI (https://zir-ai.com/). I researched neural information retrieval at Google, before starting ZIR in 2020. (Note: Vespa, who appear in your article, reference some of my work in [1]) To give you some historical perspective, embedding based retrieval on large text corpora became viable only after the introduction of transformers in 2017. Google Talk to Books... - Source: Hacker News / about 4 years ago
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