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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 |

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