To establish a digital workforce production factory, "Futuristic Intelligence" completes Pre-A round financing.

## Strategic Pivot: Why "Agents" Over "Models"

During the 2023 "Large Model Wars," FutureStyle Intelligence made a contrarian bet: to focus on AI Agents rather than developing foundation models. This decision stems from founder Yang Jinsong's direct experience training models at Alibaba's DAMO Academy.

• Core Insight: Foundation models are becoming a commoditized infrastructure, not the final product. Businesses require integrated, outcome-delivering systems.
• The Agent Value Proposition: Agents bridge the gap between a model's capability and a business's need for a stable, repeatable workflow. The core business is thus framed as "trading computing power for human labor," offering a clear ROI.

## Product Philosophy: The Dual-Flywheel Engine

The company's innovation lies in its two complementary products, which form a unique ecosystem.

1. "Lingda" (灵搭) - The Production Factory:

   • Target: Enterprise technical and business teams.
   • Design: A low-code, cloud-end architecture. The cloud side centralizes organizational knowledge (agents, skills, context). The client side allows employees to safely use this knowledge and contribute new operational data back to the cloud.
   • Differentiation: Unlike visual canvas tools, it prioritizes non-technical business users, lowering the barrier to building and deploying agents within complex, high-compliance environments like the power grid and banking.

2. "Daai" (袋袋) - The Hiring Marketplace:

   • Target: Small businesses and individual professionals.
   • Concept: A shift from users "raising" agents to simply "using" them. It digitizes human experts' deep knowledge into "digital employees."
   • Operational Model: Users can hire these digital experts for specific tasks (like tax filing or video production) and pay per result. This creates a new channel for human experts to monetize their skills.

## The "Constraint Engineering" Flywheel and Market Traction

The synergy between "Lingda" and "Daai" drives a self-reinforcing loop, termed "Constraint Engineering."

• How it works: Real-world task data and user interactions from the "Daai" marketplace are fed back to improve the foundational models and agent components on the "Lingda" platform. These enhanced components are then made available back on "Daai," creating a cycle of continuous improvement. The reported increase in task success rate from 72% to 91% illustrates this mechanism in action.

• Proven Business Model: The company has achieved product-market fit in high-stakes, vertical industries.

  • "Lingda" Success: Starting with a contract review project for East China Power Grid, it has expanded to over 20 grid clients with a 100% renewal rate. Revenue grew 4x in 2025 from multiple sectors.
  • "Daai" Traction: Despite being new, it has achieved over 10 million yuan in Annual Recurring Revenue (ARR) potential, demonstrating strong demand for pre-packaged, result-oriented digital labor.

## Strategic Outlook and Industry Implications

FutureStyle Intelligence's journey reflects a maturing perspective on the AI industry's evolution.

• From Technology to Solution: The focus is decisively on depth of scenario integration and stable delivery, not just raw model capability. As token costs fall, the economics of agents become increasingly favorable.
• Scalability Path: Having validated its model with large enterprise clients (the "lingda" track), the company now aims for industry-scale replication while simultaneously capturing the long tail of demand through the consumerized "Daai" marketplace.
• Broader Significance: The company's approach highlights that the next wave of AI value creation will likely be captured not by those building the largest models, but by those who can most effectively orchestrate models into reliable, end-to-end business processes. Their "digital workforce factory" concept is a concrete blueprint for operationalizing AI in the enterprise, moving beyond pilot projects to genuine, scalable automation.