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 and Power SMS campaigns, voicemail drop, AI SMS auto-reply, 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. It also includes Power SMS for bulk SMS campaigns with manual, AI-assisted, or fully automated modes, voicemail drop during auto-dial sessions, AI SMS auto-reply on inbound texts, and AI-generated personalized text messages. You also get AI agent calls via Vapi integration for automated outbound calling. The Standard plan includes 1,000 calling minutes, 2,000 SMS, 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.

Decentralized AI: The Energy-Efficient Revolution

The Metatrend: Decentralization Driving Sustainable AI

The exponential rise in AI’s energy demands, particularly during model training, has sparked a directional shift toward decentralized computing. This movement is not merely about optimizing energy usage; it signifies a broader transformation across industries, driven by the need for sustainability and resilience.

Evidence of Decentralization’s Impact

AI training consumes vast amounts of energy, contributing significantly to carbon emissions. As AI models grow in complexity, this issue becomes more pronounced. Emerging technologies like federated learning and the DiLoCo algorithm are pioneering decentralized training, allowing AI systems to distribute workloads across multiple nodes.

Hardware innovations from companies such as Nvidia are enabling this geographic distribution, while platforms like Akash Network illustrate new business models where computing resources can be rented out, optimizing previously underutilized infrastructure.

Cross-Industry Convergence

Energy and Real Estate: As decentralized training gains traction, there’s a corresponding surge in demand for renewable energy solutions. Homes could transform into micro data centers powered by solar energy, altering real estate valuations and catalyzing investments in energy-efficient housing technologies.

Telecommunications and Cloud Computing: The shift toward decentralized models necessitates robust networking solutions, impacting telecommunications infrastructure and service offerings. The rise of GPU-as-a-Service could disrupt traditional cloud providers, fostering innovation in cloud services.

Healthcare and Smart Cities: OAC (Over-the-Air Computation), which processes data directly from wireless signals, enhances real-time data processing capabilities. This is crucial for sectors like healthcare, where immediate data aggregation from wearable devices can improve patient outcomes and for urban environments striving for smarter resource management.

Second-Order Effects and Implications

The movement towards decentralization and sustainable computing will have several downstream effects. For one, the energy sector will see heightened demand for renewable infrastructure and storage solutions. As homes double as data centers, a new market for residential energy management technology will emerge.

In telecommunications, OAC's efficiency could redefine network architectures, leading to more resilient systems that better handle growing data loads from IoT and smart city applications.

Strategic Implications for Business Leaders

Invest in Renewable Energy: Business leaders should prioritize partnerships with renewable energy providers and invest in sustainable technologies. Aligning operations with environmental goals will not only reduce costs but also address regulatory pressures.
Rethink Infrastructure: As decentralized computing becomes more prevalent, companies must adapt their infrastructure strategies, exploring new models that leverage distributed resources efficiently.
Embrace AI and IoT Integration: With the integration of AI and IoT, there’s a strategic advantage in adopting real-time processing capabilities, which can enhance operational efficiency and customer engagement.
Focus on Privacy and Efficiency: Decentralized models and OAC offer privacy benefits by minimizing raw data transmission. Businesses should align their data strategies accordingly, potentially gaining consumer trust and meeting regulatory demands.

Conclusion: A 5-15 Year Horizon

The transition towards decentralized AI and sustainable computing is not a fleeting trend but a fundamental shift that will redefine industries over the next decade. Business leaders who anticipate these changes and act decisively to integrate renewable energy solutions, adapt infrastructure, and embrace new computing paradigms will be well-positioned to thrive in this evolving landscape.

By recognizing the convergence of AI, energy, and telecommunications, and investing in the technologies that enable this transformation, companies can maintain a competitive edge, ensuring resilience and sustainability in a rapidly changing world.

Decentralized AI: The Energy-Efficient Revolution

Decentralized AI: The Energy-Efficient Revolution

The Metatrend: Decentralization Driving Sustainable AI

Evidence of Decentralization’s Impact

Cross-Industry Convergence

Second-Order Effects and Implications

Strategic Implications for Business Leaders

Conclusion: A 5-15 Year Horizon

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

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