About TaoQ AI

Learn about TaoQ AI and our founder Leone Lage Perdigao, a seasoned software engineer with 15 years of experience and 6 years specializing in AI engineering and applied research.

Our Mission

To advance artificial intelligence through Applied AI Research & Engineering Services, applying state-of-the-art research to solve real-world challenges and deliver practical, deployable solutions.

Our Vision

A future where advanced AI systems—from autonomous agents to intelligent robotics—work seamlessly with humans to solve complex challenges and unlock new possibilities.

Our Story

TaoQ AI was founded in 2024 by Leone Lage Perdigao, a seasoned software engineer with 15 years of industry experience. Since 2010, Leone has been building production systems and solving complex technical challenges across software engineering, cloud infrastructure, and distributed systems. Over the last 6 years, his focus shifted decisively to artificial intelligence, developing deep specialization in machine learning, MLOps, and AI engineering.

TaoQ AI brings together this wealth of experience—years of building production systems combined with focused expertise in cutting-edge AI technologies—into a company dedicated to Applied AI Research & Engineering Services, bridging the gap between academic innovation and industry implementation.

The name "TaoQ" itself reflects this philosophy—Tao from the ancient concept of the natural way and harmonious flow, and Q from Quantum, representing the computational and probabilistic foundations of modern AI. This synthesis captures our approach: finding the elegant path through complex challenges while leveraging cutting-edge computational principles.

Leone established TaoQ AI with a clear vision: build a company that bridges the gap between academic innovation and industry implementation. TaoQ AI brings cutting-edge AI research from academia into practical, production-ready solutions. Drawing from extensive experience in industry R&D—from leading AI initiatives at major enterprises to hands-on development of ML systems—TaoQ AI delivers solutions that are not only technically sophisticated but also production-ready and scalable.

The company's foundation in applied AI research and engineering sets it apart. TaoQ AI bridges the gap between academic innovation and industry implementation, bringing cutting-edge research into practice while maintaining a relentless commitment to building systems that work in practice—systems that solve actual problems and create tangible value.

Under Leone's leadership, TaoQ AI has developed deep expertise across the full spectrum of modern AI technologies—from generative systems and autonomous agents to computer vision and intelligent robotics. The company's work is characterized by applied research excellence, engineering rigor, and a practical approach to implementing advanced AI solutions.

Leadership & Expertise

Leone Lage Perdigao brings 15 years of software engineering experience to TaoQ AI, with focused expertise in artificial intelligence developed over the last 6 years. His background includes:

  • Applied AI Research & Engineering: Leading AI initiatives and R&D in enterprise settings, from rapid prototyping to production-grade deployment of ML systems, generative AI solutions, and agentic systems
  • Machine Learning & MLOps: Extensive hands-on experience with foundation model fine-tuning, LLMOps, ML pipeline design, and production ML systems—including work with platforms like AWS SageMaker, WatsonX, and Databricks
  • Software Engineering & Architecture: Strong foundation built over years of developing scalable, distributed systems—from microservices and cloud-native architectures to large-scale infrastructure
  • Industry R&D Leadership: Track record of leading cross-functional teams, driving AI strategy, and delivering innovative solutions that balance cutting-edge technology with business impact
  • End-to-End AI Development: From vision and architecture through implementation, optimization, and deployment—experienced across the full AI lifecycle

Leone's approach combines technical innovation with engineering pragmatism. His background in production software engineering, cloud infrastructure, and DevOps culture informs how TaoQ AI builds AI systems—ensuring they don't just explore new frontiers but create practical solutions that deliver real value. This industry-focused perspective enables TaoQ AI to tackle ambitious challenges while maintaining a clear path to deployment.

Our Approach

We believe in the power of applied research combined with engineering excellence. Our approach is built on four pillars:

Applied Research-Driven

Every solution we develop applies the latest AI research and state-of-the-art methodologies. We stay at the forefront of the field, constantly monitoring new research breakthroughs from academia and bringing them into industry applications. Our approach bridges academic innovation with practical implementation, transforming cutting-edge research into real-world solutions.

Engineering-Focused

We don't just build prototypes—we build production systems. From applying advanced neural architectures to deploying custom agent frameworks, our solutions are designed for real-world deployment. We combine applied research with the engineering rigor needed to create scalable, reliable AI systems.

Collaboration-Oriented

We work closely with industry partners, research organizations, and technology teams. Our collaborative approach leverages diverse perspectives and enables breakthrough solutions that balance innovation with practical constraints.

Impact-Minded

We develop solutions that make a real difference. Every project applies cutting-edge research to be practical, scalable, and deployable in real-world scenarios. Our industry R&D background ensures we understand the path from applying research to impact.

Looking Ahead

As we continue to expand our capabilities, we're applying new research breakthroughs in AI. With a strong foundation in software engineering and focused AI expertise, TaoQ AI is positioned to apply the latest research in areas like multi-modal AI, advanced reasoning systems, and the convergence of AI with emerging computational paradigms.

TaoQ AI represents the next chapter in Applied AI Research & Engineering Services—where rigorous engineering meets applied research excellence to build the intelligent systems of the future.

Values

  • Excellence: Pursuing the highest standards in applied research and engineering
  • Integrity: Maintaining ethical practices in all our work
  • Innovation: Embracing creativity and novel approaches that push boundaries
  • Pragmatism: Building solutions that work in practice, not just in theory
  • Collaboration: Building partnerships that amplify our impact

What We Do

Generative AI

Foundation models, LLM fine-tuning, and custom generative architectures for text, code, and multi-modal content.

Agentic Systems

Autonomous agents with reasoning, planning, and tool-use capabilities for complex task execution.

Machine Learning

Novel algorithms, architecture design, and research across all ML paradigms and applications.

Reinforcement Learning

Advanced RL research for sequential decision-making, policy optimization, and adaptive control.

Computer Vision

Visual perception systems, object detection, segmentation, and real-time video analysis.

Robotics

Intelligent robotic systems combining perception, planning, and control for autonomous operation.