Taiwan-based enterprise AI platform MaiAgent is showcasing its AI agent technology at VivaTech 2026 in Paris, positioning itself as a solution for organizations seeking to move beyond artificial intelligence pilot projects and deploy production-ready AI systems at scale.
The company announced that its platform is helping enterprises accelerate AI transformation by eliminating the need to build complex Retrieval-Augmented Generation (RAG) and AI agent infrastructures from scratch. VivaTech 2026, one of Europe’s largest technology and startup events, is being held in Paris from June 17 to June 20.
Addressing Enterprise AI Deployment Challenges
While many organizations have embraced artificial intelligence, moving from experimentation to production remains a significant challenge.
Building enterprise-grade AI systems often requires organizations to develop and maintain multiple layers of technology, including:
- Retrieval-Augmented Generation (RAG) frameworks
- AI agent orchestration systems
- Data and tool integrations
- Security and access controls
- Compliance and governance frameworks
- Continuous model monitoring and optimization
These requirements can consume substantial engineering resources and delay business outcomes.
MaiAgent aims to simplify this process through its AI Core platform, which combines retrieval, orchestration, tool connectivity, governance, and compliance capabilities into a unified solution.
AI Core Designed for Enterprise Control and Governance
The company’s AI Core platform is built to provide organizations with greater control over AI deployments while maintaining security, compliance, and operational reliability.
According to MaiAgent, the platform offers:
- Retrieval accuracy exceeding 95% in production environments
- Multi-agent orchestration through Agent Teams
- Native integration with enterprise tools and knowledge bases
- Support for Model Context Protocol (MCP)
- Centralized governance and compliance controls
- Secure data access management
The platform is designed to help enterprises deploy AI agents while maintaining oversight of data usage, permissions, and operational workflows.
Commenting on enterprise AI adoption, Scott Chang, CEO of MaiAgent, said:
“For most enterprises, the question is no longer whether to adopt AI agents, but how to make them reliable, governed and useful in production. They should not have to build the same RAG and AI agent systems from scratch; they need an AI Core they can own, control and evolve as technology changes.”
Adoption Across Regulated Industries
MaiAgent reports that its platform has been adopted by more than 100 organizations across sectors where security, governance, and compliance are critical requirements.
Key industries using the platform include:
- Financial services
- Healthcare
- Manufacturing
- Aviation
These industries often operate under strict regulatory frameworks and require enterprise-grade security controls, making governance and data protection central considerations in AI deployment strategies.
To support varying operational requirements, the platform can be deployed through:
- Software-as-a-Service (SaaS)
- Private cloud environments
- On-premises infrastructure
- Hybrid cloud configurations
This flexibility enables organizations to align AI deployments with internal security policies and data sovereignty requirements.
Expansion Into European Markets
MaiAgent is using VivaTech 2026 as a platform to strengthen relationships with enterprise customers, technology partners, and channel partners while expanding its presence across Europe and other international markets.
The company believes demand for governed AI platforms is increasing globally as organizations seek practical ways to deploy AI at scale while maintaining security and compliance standards.
According to Daniel Fu, Head of Global Marketing at MaiAgent:
“What we learned in Asia is that enterprises do not need another isolated AI tool; they need a governed AI Core that lets teams safely use the right data with the right permissions. We now see the same need in other markets, where a platform proven in demanding production environments lets enterprise AI teams focus on adoption, integration and business outcomes.”
Growing Focus on Enterprise AI Governance
As organizations accelerate AI adoption, governance, security, and compliance have emerged as key priorities for enterprise decision-makers.
Companies are increasingly looking for platforms that can:
- Reduce deployment complexity
- Maintain regulatory compliance
- Protect sensitive data
- Improve AI reliability
- Enable responsible AI usage
- Scale across multiple business functions
MaiAgent’s approach reflects a broader trend within the enterprise AI market, where businesses are shifting focus from experimental AI applications toward operational systems that deliver measurable business value.
Security Certifications Support Enterprise Adoption
To strengthen trust among enterprise customers, MaiAgent has obtained internationally recognized information security and privacy certifications, including:
- ISO/IEC 27001:2022
- ISO/IEC 27701:2019
These certifications support the company’s focus on security, privacy management, and enterprise governance as organizations increasingly evaluate AI vendors based on compliance and risk management capabilities.
With growing demand for agentic AI solutions across industries, MaiAgent is positioning itself as a platform that enables enterprises to deploy AI agents with the security, governance, and operational control required for long-term business adoption.
The company’s guiding philosophy, “AI thinks. Agents act,” reflects its focus on transforming AI from a standalone technology into an operational business tool capable of driving productivity, automation, and enterprise innovation.
Ruchi Kumar is the associate editor at Entrepreneur News Network and TVW News India, where she leads editorial strategy, brand storytelling, and startup ecosystem coverage. With a strong focus on innovation, business, and marketing insights, he curates impactful narratives that spotlight India’s evolving entrepreneurial landscape. She has written extensively on fintech, AI and emerging startups.