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.

Quantum-AI Fusion: The Next Frontier in Chemistry

The Metatrend of Quantum-AI Integration

The intersection of quantum computing and artificial intelligence marks a critical inflection point in computational capabilities. This integration, particularly in materials science and chemistry, is not merely a technological enhancement but a fundamental shift that promises to redefine entire industries over the next decade.

Evidence of Transformation

Recent advancements highlight a hybrid model where quantum computers generate precise data on electron behaviors, subsequently training AI models on classical machines. This approach drastically reduces computational costs while enhancing accuracy. By leveraging quantum data to teach AI, we foresee an acceleration in chemical discovery and materials design, unlocking new possibilities in complex reaction mechanisms.

Cross-Industry Convergence

Pharmaceuticals: Quantum-AI integration could revolutionize drug discovery through more accurate simulations of molecular interactions, leading to faster development of personalized medicine.
Energy: By discovering new catalysts and optimizing energy storage solutions, this technology could transform sectors from automotive to renewable energy, enhancing efficiency and sustainability.
Environmental Services: The development of advanced materials for pollution control and waste management aligns with global sustainability goals, offering new solutions for environmental protection.
Manufacturing: The ability to design materials with bespoke properties can transform production processes across electronics, construction, and beyond. This capability will enable the creation of lighter, stronger, and more sustainable materials.
Agriculture: The development of improved fertilizers and pesticides can enhance food production, addressing global food security challenges.

Second-Order Effects and Downstream Implications

Accelerated Innovation Cycles: The ability to rapidly simulate and predict chemical interactions will shorten R&D cycles, fostering a more agile innovation landscape. This agility will be crucial as businesses strive to adapt to rapidly changing market environments.
Sustainability as a Competitive Edge: Companies that integrate these technologies into their sustainability strategies will benefit from regulatory compliance and consumer preference shifts towards environmentally friendly products.
New Business Models: The shift towards quantum-AI-enabled discovery processes may lead to new business models, particularly in licensing and partnerships, where proprietary algorithms and data play a central role.

Strategic Implications for Business Leaders

Investment in R&D: Business leaders should prioritize investments in quantum computing and AI capabilities to harness these technologies for innovation and maintain competitive advantage.
Collaborative Ecosystems: Engaging with tech firms and research institutions specializing in quantum computing can provide strategic advantages. Building collaborative ecosystems will be vital to leverage expertise and accelerate development.
Agility and Adaptation: Adopting agile methodologies will enable companies to capitalize on rapid technological advancements, allowing for quick adaptation to market changes and emerging opportunities.

Looking Forward: The 5-15 Year Horizon

As quantum computing and AI technologies mature, their integration will become a cornerstone of scientific advancement and industrial innovation. Business leaders who proactively engage with these developments will be at the forefront of the next wave of technological disruption. The strategic focus should be on embedding these technologies within core operations, aligning with sustainability initiatives, and fostering a culture of continuous innovation.

In the next decade, the convergence of quantum computing and AI will not only redefine materials science and chemistry but also reshape industries, creating new opportunities and challenges. Companies that anticipate and adapt to these changes will thrive in this emerging landscape.

Tags: [Quantum Computing, Artificial Intelligence, Materials Science, Sustainability, Innovation, Pharmaceuticals, Energy, Manufacturing]

The Metatrend of Quantum-AI Integration

Evidence of Transformation

Cross-Industry Convergence

Pharmaceuticals: Quantum-AI integration could revolutionize drug discovery through more accurate simulations of molecular interactions, leading to faster development of personalized medicine.

Energy: By discovering new catalysts and optimizing energy storage solutions, this technology could transform sectors from automotive to renewable energy, enhancing efficiency and sustainability.

Environmental Services: The development of advanced materials for pollution control and waste management aligns with global sustainability goals, offering new solutions for environmental protection.

Manufacturing: The ability to design materials with bespoke properties can transform production processes across electronics, construction, and beyond. This capability will enable the creation of lighter, stronger, and more sustainable materials.

Agriculture: The development of improved fertilizers and pesticides can enhance food production, addressing global food security challenges.

Second-Order Effects and Downstream Implications

Accelerated Innovation Cycles: The ability to rapidly simulate and predict chemical interactions will shorten R&D cycles, fostering a more agile innovation landscape. This agility will be crucial as businesses strive to adapt to rapidly changing market environments.

Sustainability as a Competitive Edge: Companies that integrate these technologies into their sustainability strategies will benefit from regulatory compliance and consumer preference shifts towards environmentally friendly products.

New Business Models: The shift towards quantum-AI-enabled discovery processes may lead to new business models, particularly in licensing and partnerships, where proprietary algorithms and data play a central role.

Strategic Implications for Business Leaders

Investment in R&D: Business leaders should prioritize investments in quantum computing and AI capabilities to harness these technologies for innovation and maintain competitive advantage.

Collaborative Ecosystems: Engaging with tech firms and research institutions specializing in quantum computing can provide strategic advantages. Building collaborative ecosystems will be vital to leverage expertise and accelerate development.

Agility and Adaptation: Adopting agile methodologies will enable companies to capitalize on rapid technological advancements, allowing for quick adaptation to market changes and emerging opportunities.

Looking Forward: The 5-15 Year Horizon

Tags: [Quantum Computing, Artificial Intelligence, Materials Science, Sustainability, Innovation, Pharmaceuticals, Energy, Manufacturing]

Quantum-AI Fusion: The Next Frontier in Chemistry

Quantum-AI Fusion: The Next Frontier in Chemistry

The Metatrend of Quantum-AI Integration

Evidence of Transformation

Cross-Industry Convergence

Second-Order Effects and Downstream Implications

Strategic Implications for Business Leaders

Looking Forward: The 5-15 Year Horizon

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.

Quantum-AI Fusion: The Next Frontier in Chemistry

Quantum-AI Fusion: The Next Frontier in Chemistry

The Metatrend of Quantum-AI Integration

Evidence of Transformation

Cross-Industry Convergence

Second-Order Effects and Downstream Implications

Strategic Implications for Business Leaders

Looking Forward: The 5-15 Year Horizon

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.