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  • Google rolls out new Gemini model that can run on robots locally

Google rolls out new Gemini model that can run on robots locally

AND: Synthflow AI Raises $20M to Scale Real-Time Voice Bots for Enterprise

TodayOnAI’s Daily Drop

  • Google rolls out new Gemini model that can run on robots locally

  • Synthflow AI Raises $20M to Scale Real-Time Voice Bots for Enterprise

  • Wispr Flow Raises $30M to Redefine Voice as the Next AI Interface

  • 💬 Let’s Fix This Prompt

  • 🧰 Today’s AI Toolbox Pick

📌 The TodayOnAI Brief

Google

🚀 TodayOnAI Insight: Google DeepMind has launched Gemini Robotics On-Device, a compact AI model that enables robots to operate offline with near-cloud performance—signaling a major step toward autonomous, internet-free robotics.

🔍 Key Takeaways:

  • Local intelligence: Gemini Robotics On-Device can run directly on robots, eliminating the need for cloud connectivity.

  • Natural language control: Developers can fine-tune robot behavior using simple language prompts.

  • Strong performance: Matches the cloud-based Gemini Robotics model in benchmarks and reportedly outperforms other local models.

  • Versatile hardware compatibility: Initially trained on ALOHA robots, then adapted for use on the Franka FR3 and Apptronik’s Apollo humanoid.

  • Developer tools: A new Gemini Robotics SDK allows robots to learn from 50–100 demonstrations in the MuJoCo simulator.

💡 Why This Stands Out: Offline-capable robotics models reduce latency, enhance privacy, and expand potential in industrial and remote settings. DeepMind’s move brings practical general-purpose robotics closer to reality—can local AI truly scale across diverse robot platforms and tasks?

Synthflow

🚀 TodayOnAI Insight: Synthflow AI, a Berlin-based startup, has raised $20M from Accel to scale its enterprise-ready voice AI platform—aiming to carve out a niche in the crowded conversational AI market by focusing on compliance, real-time latency, and deep CRM integrations.

🔍 Key Takeaways:

  • Synthflow offers a no-code platform for white-labeled, voice-based AI agents designed for customer service.

  • The platform integrates with over 200 enterprise tools, including Salesforce, HubSpot, and Twilio.

  • Its voice agents meet HIPAA and GDPR standards, and handle 5M+ calls monthly with sub-400ms latency.

  • Founded in 2023, the company claims 1,000+ customers and 90% enterprise retention after growing 15x last year.

  • The $20M Series A, led by Accel, will fund U.S. expansion and R&D efforts.

💡 Why This Stands Out: While text-based AI tools have proliferated, Synthflow is doubling down on voice—an area far more technically demanding but with huge potential for differentiated enterprise service. Its bet on real-time, compliant voice interactions aligns with growing enterprise demand for plug-and-play automation. Can focused execution in a fast-moving market help Synthflow stand apart from better-funded rivals?

Wispr

🚀 TodayOnAI Insight: Voice AI startup Wispr Flow has raised $30 million in Series A funding led by Menlo Ventures to scale its dictation app, which has gained rapid traction among top Silicon Valley VCs. The funding signals growing investor appetite for voice-driven productivity tools that go beyond traditional AI interfaces.

🔍 Key Takeaways:

  • Wispr Flow raised $30M Series A, bringing total funding to $56M; Menlo Ventures’ Matt Kraning joins the board.

  • Originally a silent-speech hardware project, the company pivoted to software and launched apps for Mac, Windows, and iOS.

  • App usage is growing 50% month-over-month, with 40% of users in the U.S. and 60% dictating in non-English languages.

  • Supports dictation in 104 languages; top non-English ones include Spanish, French, German, Dutch, Hindi, and Mandarin.

  • Funds will expand the 18-person team, launch an Android app, and build enterprise features and AI assistant capabilities.

💡 Why This Stands Out: Wispr Flow’s rise reflects a shift toward voice as a primary interface for productivity—especially for non-technical users underserved by prompt-based AI. Its traction among VCs and plans for broader assistant-like capabilities suggest voice-first interaction is no longer niche. Could this signal a larger transition away from keyboards and prompts entirely?

💬 Let’s Fix This Prompt

 See how a simple prompt upgrade can unlock better AI output.

🔹 The Original Prompt

"Generate blog ideas for a engineering website"

At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.

The Improved Prompt

Generate 10 blog post ideas for a professional engineering website focused on industry trends, technical insights, and practical applications. Include a mix of beginner and advanced topics across civil, mechanical, electrical, and software engineering disciplines. Format as a bullet list with short descriptions.

💡 Why It's Better

  • Clarifies the target audience (professional engineers)

  • Adds scope by including multiple disciplines

  • Specifies a content mix (beginner + advanced)

  • Requests formatted output with short descriptions for usability

🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown

💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)

🧠 Smart Picks

📰 More from the AI World

🧰 Today’s AI Toolbox Pick

  • 📱OpusClip (Content Tool): Transforms long-form videos into viral clips for YouTube Shorts, TikTok, and Instagram.

  • ⚙️CodeDesign (Web Design Tool): Builds, hosts, and exports websites in seconds.

  • 🔊TranscriptLOL (Audio Tool): Transcribes your audio, video, or meeting recordings.