Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Miraitrymirai.com

Run AI models on-device for privacy and speed.

Developer & AI Platformtrymirai.comTracked since 2026-08-192 discovery sources
646Backlinks
168Referring domains
25Domain authority
+24.8%Referring domains · 90 days

Authority & distribution

How strong is Mirai’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

646Current snapshot

Referring domains

168Current snapshot

Authority

25Domain authority · category median 22

90-day move

+24.8%Referring domains, last 90 days
At 25, Mirai sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Mirai ranks

Measured · Pro

Measured for this product: global rank and country rank.

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AI referral visibility

Which AI assistants are already sending Mirai traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What Mirai is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Mirai”

Run AI models on-device for privacy and speed.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://trymirai.com/

Observed across 2 discovery sources.

Research questions

What the evidence answers about Mirai.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does Mirai do and what problem does it solve?

Mirai provides models, runtime, and infrastructure for building on-device AI applications that are interactive, ambient, and continuous. It solves the problem of user experience breaking when AI models are slow by enabling execution speeds aiming for 1,000 tokens per second, which allows interfaces to render almost instantly without the loading states people dislike.

What does Mirai offer in terms of features, surfaces, or integrations?

Mirai offers a complete stack built from the device constraint up, including a runtime that executes with a batch size of one and a quantization scheme co-designed with architecture. It provides models, runtime, and infrastructure specifically designed for low-latency, on-device AI execution.

What is Mirai used for and in what situations?

Mirai is used for building AI-powered interfaces that collapse multiple app functions into a single, private interaction on a user's device. It is designed for situations where low latency is critical for a seamless experience, such as when an assistant resolves tasks from various services like banking, calendar, files, and ride-hailing in one go.

Who is Mirai for?

Mirai is for developers building the next generation of AI products, particularly those focused on creating fast, interactive, on-device applications. The product is part of the 'Developer & AI Platform' category.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Mirai intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured