Scribed AI is an AI-native Super CRM that combines three powerful pillars: a full-featured CRM with deal pipelines and contact management, Slack-level team chat with channels, DMs, and threading, and Asana-level project management with kanban boards and AI copilot. On top of that, you get a built-in power dialer, AI meeting transcription, booking & scheduling, 200GB file drive, and an AI assistant. It's the CRM that does everything.

How is Scribed different from other CRMs?

Traditional CRMs manage contacts and deals — that's it. You still need Slack for messaging, Asana for projects, and a dialer for calls. Scribed combines all three into one AI-native platform: a powerful CRM, Slack-like team chat with channels and threading, and kanban project management. Then it layers on a power dialer, AI transcription, booking pages, 200GB file drive, email generation, and an AI assistant that searches across everything. Your contacts, conversations, tasks, and files all live in one place.

How does the free trial work?

You get full access to the Standard plan for 30 days. This includes unlimited transcriptions, AI chat, team workspaces, CRM, project backlogs, power dialer with 1,000 minutes, booking pages, file drive, notes, email generation, and all platform features. After the trial, simply choose a plan to continue.

What's included in the Standard plan?

The Standard plan includes everything: unlimited transcriptions and AI chat, organizational workspaces with Slack-like team messaging, full CRM with unlimited contacts and pipelines, project backlogs with kanban boards, 200GB file drive, 1,000 calling minutes with power dialer, 1 free phone number per workspace, booking & scheduling pages, personal notes, AI email generation, smart search, integrations, and more. Add-ons like extra workspaces, phone numbers, and premium support are available as needed.

What is the Power Dialer?

The built-in power dialer lets you make calls directly from Scribed with call recording, call metrics, and analytics. You also get AI agent calls via Vapi integration for automated outbound calling. The Standard plan includes 1,000 calling minutes and 1 free phone number per workspace. Additional phone numbers are $4.99/month each, and call overage is $0.08/minute.

Does Scribed include scheduling and booking?

Yes! Scribed includes a full booking and scheduling system. Create public booking pages with customizable event types, manage availability, and let clients RSVP directly. You can create both personal and team booking links, approve or reject bookings, and sync everything with Google Calendar. No need for a separate tool like Calendly.

What integrations are available?

Scribed integrates with Google Calendar, GitHub, Slack, Asana, Pipedrive, and Vercel — with more integrations coming soon. We also offer a developer API with API keys and webhooks for custom integrations, plus a browser extension for quick access. Enterprise plans include SSO and advanced security.

How does seat-based pricing work?

The Standard plan has a base price that includes your core platform access, plus a per-seat cost for each team member. Annual billing saves you compared to monthly. You can add or remove seats at any time as your team grows.

What about Enterprise?

Enterprise plans include unlimited everything — storage, organizations, members, calling minutes, and phone numbers. You also get dedicated support, custom onboarding, white-labeling options, SSO & advanced security, SLA guarantees, and data migration assistance. Contact our sales team for custom pricing.

Facial Recognition in Smart Glasses: Challenges and Opportunities

Facial recognition technology is no longer confined to our smartphones; it’s making its way into wearable tech. Meta's reported plans to integrate this capability into its smart glasses, under the feature name “Name Tag,” could redefine user interactions. While this innovation promises enhanced user experiences, it also brings significant privacy and ethical considerations.

User Experience Enhancement

Integrating facial recognition into smart glasses aims to provide seamless interaction by identifying people and offering contextual information. This could be a groundbreaking step for augmented reality (AR) devices, offering users a new layer of interaction with their environment. Imagine recognizing a colleague at a conference and instantly recalling your last conversation or seeing a friend's latest social media update in your field of vision.

However, the question remains: how will users respond to having their social interactions mediated by AI? The convenience of instant information must be balanced with the potential for social discomfort and dependence on technology for human connections.

Privacy Concerns

The deployment of facial recognition in wearable tech like Meta’s smart glasses raises alarms about privacy. The technology involves the collection of biometric data, which is sensitive and personal. Users and bystanders alike may feel uneasy about being identified without consent. This concern is not just about privacy invasion but also about the potential for misuse of data.

To address these issues, companies like Meta need to implement robust data protection measures and ensure transparency about data usage. Clear consent mechanisms and opt-out options should be foundational elements of any such technology.

Regulatory Scrutiny

Facial recognition technologies are already under scrutiny by governments worldwide, with many regions implementing strict data protection laws. Meta’s venture into this space will likely face regulatory hurdles. In places like the European Union, where GDPR imposes stringent rules on data collection and processing, Meta will need to ensure compliance to avoid legal challenges.

Proactive engagement with regulatory bodies and advocacy groups can help companies navigate these challenges. Building trust through responsible innovation and compliance can position Meta as a leader in ethical tech development.

Market Positioning

Amidst fierce competition in the wearable tech market, integrating advanced features like facial recognition could set Meta apart. This move aligns with their broader strategy to lead in AR and wearable technologies. However, success depends on user acceptance, which hinges on how privacy concerns are managed and the perceived value of the feature.

For consumers to embrace this technology, Meta must not only offer innovative functionality but also demonstrate commitment to user privacy and ethical considerations.

Future Implications

If successful, facial recognition in smart glasses could catalyze new applications across various sectors. In retail, it could personalize shopping experiences; in security, it could enhance surveillance and identification processes. Social networking might see new dimensions of interaction, blending online and offline experiences.

However, the ethical dilemmas surrounding facial recognition must be addressed to realize these potentials. Companies need to lead with ethical frameworks that prioritize user rights and societal impacts.

Conclusion

The integration of facial recognition into smart glasses presents both exciting opportunities and formidable challenges. As Meta navigates this complex landscape, the balance between innovation and privacy will be crucial. By prioritizing ethical considerations and regulatory compliance, Meta can redefine how we interact with technology in a connected world.

In related spaces, tools like Scribed AI are offering integrated solutions for team communication and project management, showcasing the trend towards multifunctional platforms. As companies look to streamline operations, platforms that combine features like CRM, transcription, and collaboration into one are becoming increasingly relevant.

Tags: AI, Facial Recognition, Privacy, Wearable Tech, Innovation, Regulatory Compliance, AR

Facial Recognition in Smart Glasses: Challenges and Opportunities

User Experience Enhancement

Privacy Concerns

Regulatory Scrutiny

Market Positioning

For consumers to embrace this technology, Meta must not only offer innovative functionality but also demonstrate commitment to user privacy and ethical considerations.

Future Implications

Conclusion

Tags: AI, Facial Recognition, Privacy, Wearable Tech, Innovation, Regulatory Compliance, AR

Facial Recognition in Smart Glasses: Challenges and Opportunities

Facial Recognition in Smart Glasses: Challenges and Opportunities

User Experience Enhancement

Privacy Concerns

Regulatory Scrutiny

Market Positioning

Future Implications

Conclusion

Comments (0)

CRM, team chat, and projects — finally in one place.

Plus a power dialer, AI transcription, booking, file drive, and an AI assistant. Try Scribed free for 30 days.

Facial Recognition in Smart Glasses: Challenges and Opportunities

Facial Recognition in Smart Glasses: Challenges and Opportunities

User Experience Enhancement

Privacy Concerns

Regulatory Scrutiny

Market Positioning

Future Implications

Conclusion

Comments (0)

CRM, team chat, and projects — finally in one place.

Plus a power dialer, AI transcription, booking, file drive, and an AI assistant. Try Scribed free for 30 days.