AI Updates Aggregator

💰TechCrunch AI•#on-device #model-inference #seed-funding•Feb 19, 2026Freshcollected in 17m

Reface-Prisma Founders Launch On-Device Mirai

Post LinkedIn

💰Read original on TechCrunch AI

💡$10M-funded Mirai from Reface/Prisma founders boosts on-device AI inference for phones/laptops.

⚡ 30-Second TL;DR

What changed

Reface and Prisma co-founders start Mirai

Why it matters

Advances edge AI efficiency, reducing cloud dependency for mobile apps. Attracts founders building consumer AI tools amid on-device trend.

What to do next

Benchmark Mirai's inference optimizations on your mobile AI prototypes using their seed-backed toolkit.

Who should care:Developers & AI Engineers

🧠 Deep Insight

Web-grounded analysis with 5 cited sources.

🔑 Key Takeaways

•Co-founders of Reface (AI face-swapping app) and Prisma (AI photo editing app) launched Mirai to optimize AI model inference on devices like smartphones and laptops[1][3].
•Mirai secured $10 million in seed funding to develop on-device AI inference infrastructure[1][2][3].
•Mirai focuses on improving inference speed, achieving a 37% increase in generation speed specifically for Apple Silicon devices[3].

🛠️ Technical Deep Dive

•Mirai targets on-device model inference optimization for smartphones and laptops, with specific benchmarks showing 37% increase in generation speed on Apple Silicon[3].

🔮 Future ImplicationsAI analysis grounded in cited sources

Mirai's on-device inference advancements could accelerate independent evolution of AI software stacks from hardware platforms, enhancing performance on consumer devices like iPhones and laptops[3].

⏳ Timeline

2026-02

Reface and Prisma co-founders launch Mirai with $10M seed funding for on-device AI inference optimization[1][3].

📎 Sources (5)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

Co-founders of Reface and Prisma launched Mirai to enhance on-device AI model inference. The startup secured $10M seed funding. Targets optimization for smartphones and laptops.

Key Points

1.Reface and Prisma co-founders start Mirai
2.$10M seed funding raised
3.Focuses on on-device model inference
4.Optimizes AI for smartphones and laptops

Impact Analysis

Advances edge AI efficiency, reducing cloud dependency for mobile apps. Attracts founders building consumer AI tools amid on-device trend.

Technical Details

Mirai improves inference speed and efficiency of AI models on local hardware. Addresses challenges in running complex models on resource-limited devices like phones.

#on-device #model-inference #seed-fundingmirai

💰Read original article on TechCrunch AI

📰

Weekly AI Recap

Read this week's curated digest of top AI events →

👉Read Next

Same topic

Explore #on-device

Same product

AI-curated news aggregator. All content rights belong to original publishers.
Original source: TechCrunch AI ↗