New York, Aug. 21, 2025 — In a move that signals the growing importance of edge artificial intelligence, Accenture (NYSE: ACN) has announced an investment in CLIKA, a high-performance AI compression platform provider. The investment, made through Accenture Ventures, aims to expand Accenture’s intelligent edge and infrastructure engineering capabilities while accelerating AI deployment for real-world edge devices.
Tackling Edge AI Complexity
With the rapid rise of edge AI, enterprises are facing mounting challenges. From infrastructure bottlenecks to fragmented hardware ecosystems, deploying artificial intelligence outside the cloud has proven both costly and complex.
CLIKA addresses this problem directly with its unified AI compression and deployment platform, which allows enterprises to optimize and run advanced AI models on devices such as:
- Smartphones
- Internet of Things (IoT) endpoints
- Industrial robotics
- Autonomous vehicles
By simplifying deployment, CLIKA enables enterprises to bridge the gap between AI research and real-world, real-time applications.
Accenture’s Vision for Edge AI
The collaboration will see Accenture and CLIKA build enterprise-ready solutions for secure and scalable AI deployments at the edge. According to Raj Wickramasinghe, global lead for Infrastructure Engineering at Accenture:
“Edge computing is now a critical part of the AI lifecycle. Through this investment and collaboration, we can bring CLIKA’s technology—which allows intelligent models to run on devices not originally designed for AI—to our enterprise clients, delivering the efficiency and precision needed to make edge AI practical and scalable.”
This investment further solidifies Accenture’s leadership in building next-generation AI infrastructure, giving its global client base access to more efficient and compact AI models.
The Power Behind CLIKA’s Platform
At the core of CLIKA’s offering is its proprietary software development kit (SDK), designed to automatically compress and optimize AI models. Unlike traditional approaches that require heavy customization, CLIKA’s SDK can tailor each deployment to the target hardware environment—whether that’s CPUs, GPUs, or low-power devices.
This results in:
- Faster inference speeds
- Lower energy consumption
- High accuracy and reliability
- Reduced time-to-market
By removing the manual overhead often associated with AI optimization, CLIKA empowers businesses to scale deployments with speed and confidence.
Bringing AI to Everyday Devices
For CLIKA’s co-founder and CEO, Nayul Lina Kim, the mission is clear:
“At CLIKA, we believe powerful AI belongs on everyday devices. This investment and collaboration with Accenture Ventures allow us to bring that vision to life, offering enterprises a smooth and efficient way to deploy AI in real-world, real-time scenarios where it can make the biggest impact.”
This vision aligns with the broader industry shift toward Physical AI — embedding intelligence directly into the devices and systems we use daily.
Expanding Global Reach
Through Accenture Ventures, CLIKA will also join Project Spotlight, Accenture’s accelerator program for data and AI startups. This initiative provides startups with access to Accenture’s domain expertise, enterprise clients, and global reach.
Tom Lounibos, global lead for Accenture Ventures, highlighted the strategic nature of the collaboration:
“The rapid growth of AI—and the complexity that comes with it—demands faster, simpler and smarter deployment. With this investment, we are providing CLIKA with strategic market access to enterprise clients, teaming to deploy advanced models at the edge and put intelligence where it matters most.”
This partnership is expected to boost CLIKA’s global footprint while giving Accenture’s clients a powerful new toolset for edge AI adoption.
Why This Matters
The deal comes at a critical time, as businesses increasingly demand AI solutions that go beyond the cloud and data centers. By enabling intelligent edge computing, Accenture and CLIKA are paving the way for industries such as healthcare, manufacturing, transportation, and consumer electronics to gain new efficiencies and unlock innovative business models.
As edge computing becomes a core part of the AI lifecycle, this collaboration demonstrates how strategic partnerships can accelerate adoption and deliver AI where it truly matters — at the point of action.
