Built so you can read every line of code.

Knowledge workers spend twelve-plus hours a week inside inboxes. Most of that volume is routine: scheduling, status, acknowledgments, a one-line confirmation that didn't need full attention. The replies are predictable, but the context-switching cost is enormous — every ping fragments a working hour.

Existing AI tools sit in another tab. They expect you to copy a thread out, paste a draft back in, and reconcile the two yourself. That isn't relief; that's another job. Krewva runs natively inside the inboxes you already use, drafts where the work lives, and waits for you to approve.

We don't believe AI should sit in another tab — it should live where the work already is.

A few independent shifts collided in 2024, and the window opened. The first: language models finally cleared the bar for drafting in someone's actual voice. Pre-trained baselines learned to mimic register, vocabulary, and rhythm well enough that a 200-message history could pin a draft to "this sounds like me" rather than "this sounds like a chatbot." That capability didn't exist a year earlier.

The second: the model-tax problem cracked open. DeepSeek's reasoning models and the Llama family pushed inference cost down by an order of magnitude, which means an agent crew that drafts on every inbound message stops being a luxury budget item and starts being viable for a $20/mo subscription. Krewva needs cheap inference to exist.

The third: chat apps fragmented past the point any single human can manage by hand. iMessage, WhatsApp, Slack, Gmail, Instagram DMs, Discord, Telegram, Signal — the average knowledge worker is in seven inboxes simultaneously, none of which talk to each other. The mental overhead alone is a tax. A unified queue across all of them is the only sane response.

The fourth: the trust dial finally became feasible. Programmable autonomy ladders — auto-reply for grandma, draft-only for the boss, never-reply for spam — require a substrate that can hold per-contact rules without leaking them across apps. That substrate is what we've been building. The combination of all four is what makes 2026 the right year for an inbox-native AI workforce, not 2022 and not 2030.

Krewva is built by a remote team across NYC and Bangalore. We collaborate asynchronously, ship daily, and meet in person twice a year for product sprints.

We're not running an open careers page yet — hiring is small, deliberate, and founder-led. If you're a senior engineer, designer, or operator who wants to ship consumer AI with us, send an email with what you've built and what you want to build next.

Wuvov Inc. is a Delaware C-corp. · #wuvov-inc on Linear. · careers@krewva.com · See /careers for future tracks.