Scade: Accelerating AI-Driven Business Transformation

cyber•Fund is proud to lead the latest investment round in Scade.pro, a no-code platform that's set to transform how businesses integrate and leverage AI technologies. Our investment is driven by Scade's potential to democratize AI adoption and create a new paradigm in business process optimization.

The AI Revolution in Enterprise

As AI rapidly reshapes the business landscape, enterprises are racing to adopt these technologies. The percentage of enterprises planning to invest at least $10 million in AI is expected to almost double from 16% in 2024 to 30% in 2025, according to a survey by Ernst & Young. For example, in fiscal Q3 2024, Accenture secured $900 million in new generative AI deals, bringing the year-to-date total to $2 billion in sales and $500 million in revenue. Most of these deals are new projects and proof-of-concepts and are ideal use cases for the Scade.pro platform.

However, the complexity and cost of integration often create significant barriers. Scade.pro emerges as the solution to these challenges, offering a user-friendly platform that dramatically reduces the time and resources required to implement AI-driven solutions. 

Scade Platform

Scade.pro stands out with its intuitive no-code interface and access to over 1,500 pre-trained AI models. The platform's Nodes and Flows system allows users to create complex AI workflows through simple drag-and-drop actions. This approach not only accelerates development but also significantly reduces costs, making advanced AI capabilities accessible to a broader range of businesses.

The platform's extensive AI library, coupled with additional tools and AI agents, enables users to quickly develop and deploy sophisticated AI applications:

• Nodes and flows: Nodes are basic units in Flows that can be AI models, blocks of code, logical functions, or AI apps like Elevenlabs, Heygen, etc. Nodes provide real-time feedback on execution time and costs.
• Extensive AI library: Access to over 1,500 AI models, including popular ones like LLaMa and Stable Diffusion, as well as proprietary models.
• Tools: Additional tools like translators, resizers, and loop processors to manage tasks efficiently.
• Agents: AI helpers like LamaIndex and LamaQuery designed to simplify complex tasks and enhance workflow efficiency.
• Templates: Prebuilt templates that simplify complex builds, allowing users to quickly develop and refine their ideas.

From virtual try-on services for e-commerce to automated content creation for marketing, Scade.pro empowers businesses to create bespoke AI solutions that were previously the domain of tech giants or required substantial development resources. Some of the AI workflows that are available today on Scade platform and could be launch with just one click:

• Price and quality comparison between most popular LLMs
• Generation of prompts or SEO content
• Tone of voice extraction and replication
• Face-swapping in photos and videos
• Video dubbing in multiple languages
• Generating online course content
• Converting sketches into polished artwork
• Comparing multiple AI image generation models
• Creating, narrating, and illustrating children's stories
• Automating descriptions for YouTube videos or e-commerce products
• and many more...

Earn with Scade

Scade.pro's two-sided marketplace model is a key driver of its growth potential. On one side, AI experts and freelancers can create and monetize their own AI workflows. On the other, businesses can access these ready-made solutions with a single click, eliminating the need for in-house AI expertise or extensive coding.

The platform offers multiple revenue streams for creators:

1. Workflow sales: Developers can build and sell their AI workflows directly on the Scade marketplace. They set their own prices and earn a significant portion of each sale.
2. Subscription models: For more complex or regularly updated workflows, creators can offer subscription-based access, ensuring a steady income stream.
3. Consulting services: Experts can offer personalized consulting services to businesses looking to implement or customize AI solutions.
4. Educational content: Creators can develop and sell courses or tutorials on how to use Scade.pro effectively, tapping into the growing demand for AI education.
5. Revenue sharing: Scade offers revenue-sharing agreements, aligning the platform's success with that of its top creators.
6. Dataset access: Creators can monetize valuable datasets, offering businesses access to high-quality, curated data for training and fine-tuning AI models.
7. Specialized LoRAs: Experts can develop and sell specialized Low-Rank Adaptations for diffusion models, enabling businesses to create highly customized AI-generated content.
8. Integration connectors: Developers can build and monetize connectors that integrate Scade workflows with existing business tools like CRMs, ERP systems, and various online services.
9. Custom AI applications: Creators can build AI applications that complement and enhance Scade workflows, offering tailored solutions for specific industry needs

From Agents to Multi-Agent Systems

As AI technology advances, we're seeing a shift from single-agent workflows to complex multi-agent systems. This evolution is crucial for tackling real-world tasks that require autonomous, interconnected AI workflows.

In these advanced systems, AI agents are not just executing predefined tasks, but are capable of owning budgets and launching on-demand tools to accomplish customer goals. This level of autonomy and flexibility allows for more efficient and effective problem-solving in dynamic business environments.

For instance, consider an AI system tasked with reducing the CAC of online ads by 1%. This system would need to:

• Use creative tools to prepare and optimize ad content
• Deploy testing mechanisms to run and evaluate campaigns
• Utilize data collection and analysis tools to gather insights
• Implement routers to find and apply optimal AI models for each subtask
• Optimize the selection of cloud providers to run sub-agents efficiently

This example illustrates how a single high-level goal can spawn a complex network of interconnected AI workflows, each managed by specialized agents. Scade.pro's platform is uniquely positioned to support the development and deployment of such sophisticated multi-agent systems, enabling businesses to tackle complex, real-world tasks.

Privacy, Compliance and Confidentiality

Scade.pro prioritizes data security, a crucial concern for enterprises. The platform employs advanced confidential AI features that protect data throughout the entire AI processing cycle. Using hardware-isolated NVIDIA H100 Confidential Compute clusters, Scade keeps information encrypted even during computation. This allows businesses to leverage AI while maintaining strict data privacy standards, making Scade an ideal solution for companies handling sensitive information or operating in regulated industries. By addressing security concerns head-on, Scade removes a significant barrier to AI adoption in the enterprise space.

Conclusion

As AI capabilities continue to advance at a rapid pace, businesses across all sectors are faced with a clear challenge: embrace AI or risk falling behind. However, the future of enterprise AI lies not in the direct application of foundational models, but in the deployment of sophisticated AI agents and complex multi-agent workflows solving specific business needs.

Scade.pro is uniquely positioned to capitalize on this trend, already establishing itself as the premier platform for building, hosting, and running these advanced AI systems. It provides a  user-friendly, no-code environment for creating and managing AI workflows. As the AI landscape evolves, Scade platform and growing ecosystem of creators will support even more business AI adoption. 

cyber•Fund's investment in Scade.pro reflects our confidence in its potential to revolutionize how businesses interact with and benefit from AI technologies within cybereconomy.