Coforge Limited announced the expansion of its Kraków, Poland engineering center into a strategic AI engineering and nearshore delivery hub. The facility now employs more than 375 engineers and is projected to grow to over 660 professionals by 2027.

This expansion marks a shift from supporting a single anchor engagement since its opening in 2025 to serving multiple clients across Europe and globally. The center delivers AI-first engineering, cloud, and modernization services, reflecting strong client demand for specialized talent and proximity-based delivery models.

Strategic focus on AI and nearshore delivery

Located in one of Europe's leading technology hubs, the Kraków center leverages access to a robust pipeline of engineering graduates. This location enables close collaboration with clients across European and UK time zones, addressing the market need for speed and specialized expertise in digital transformation.

John Speight, President & EU Geo Business Leader at Coforge, stated that the investment reflects a long-term commitment to serving clients across the region. He emphasized the company's confidence in local talent to help European enterprises accelerate their AI and modernization initiatives.

Sunil Fernandes, Chief Operating Officer, noted that the rapid scale-up responds to two major market shifts: growing demand for AI-enabled engineering and the need for delivery models combining proximity with specialized talent. He highlighted that hybrid human and agent Mod Squads are accelerating innovation and delivering measurable business outcomes.

Infrastructure and client portfolio

The company has expanded the Kraków facility with more than 20,000 square feet of new workspace and scalable infrastructure to accommodate workforce growth. The center serves a diverse portfolio of clients across sectors including travel, banking, logistics, retail, and enterprise services.

What the numbers show

The data indicates a significant acceleration in operational capacity. The workforce is expected to grow by approximately 76% from current levels to 2027, suggesting a rapid ramp-up phase rather than gradual organic growth. This expansion aligns with the company's strategic pivot toward AI-native engineering services, moving beyond traditional IT support to autonomous enterprise solutions.

Coforge Limited announced on September 30, 2026, the launch of CXNova, an AI-native customer experience (CX) platform designed to deliver intelligent, real-time customer experiences. This new offering complements the company’s existing focus on Agentic Travel and Modern Airline Retailing (MAR), expanding its portfolio of agentic AI solutions for enterprises.

CXNova is built on a multi-agent architecture that transforms disconnected AI, content, and channel systems into a unified experience execution layer. It addresses the gap where enterprises have invested in AI and digital platforms but struggle to operationalize them across the customer journey. By enabling systems to turn strategic intent into scalable, autonomous customer journeys, CXNova aims to drive personalization, engagement, and continuous optimization.

Platform architecture and capabilities

At its core, CXNova employs domain-specific ontologies and enterprise knowledge graphs to connect customer, content, product, journey, and operational intelligence. This shared context allows specialized agents to work together to understand, decide, create, and adapt experiences in real time.

The platform features three primary agent types:

• Content agents: Dynamically generate, adapt, and optimize content using enterprise knowledge and domain-trained models to ensure brand compliance.
• Context agents: Interpret identity, intent, behavior, and real-time signals to drive next-best-action decisioning.
• Canvas agents: Assemble and deliver experiences across digital and physical touchpoints, including web, mobile, and conversational channels.

These capabilities are supported by industry-specific agents and a centralized agent orchestration and experience operations (XOps) control plane, which coordinates autonomous agents with enterprise systems and human expertise.

Strategic expansion beyond travel

While Coforge previously highlighted its Aeronova.AI platform for the travel sector, CXNova is designed for broader enterprise-scale deployment. It targets industries including banking and financial services, insurance, healthcare, travel, and airlines. The platform integrates with existing enterprise ecosystems to enable rapid adoption.

Kapil Tyagi, Senior Vice President and Head of Experience at Coforge, stated that the next phase of digital transformation is about orchestrating experiences that act in the moment rather than adding isolated AI features. He emphasized that CXNova powers an autonomous, experience-led enterprise with governed decision-making and continuous learning.

Context: Agentic Travel and Modern Airline Retailing

The launch of CXNova aligns with Coforge’s broader thesis on the shift toward Agentic Travel. The company posits that intelligent agents will orchestrate travel discovery, transactions, and journey management, reshaping how airlines engage travelers. This transition is driven by AI-native travelers who expect seamless, personalized experiences through AI-powered interfaces.

Coforge argues that success in this paradigm requires moving beyond traditional transaction-based systems to connect business processes and operational decisions through a common intelligence layer. Aeronova.AI supports this by helping travel enterprises turn Offer and Order ambition into execution, de-risking the coexistence of legacy and modern retailing platforms.

About Coforge

Coforge is an AI-native engineering services leader that uses AI and hyperspecialized industry expertise to engineer autonomous enterprises. The company combines AI agents with an AI-enabled workforce, including specialized Forward Deployed Engineers (FDEs) in hybrid pod-based delivery units. With a deep focus on trusted AI, its solutions are secure, governed, and enterprise-grade. Coforge is outcome-led by design, moving beyond AI experimentation to deliver measurable business outcomes such as lower operating costs, faster cycle times, higher conversion rates, and sustained margin growth.