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Hark has raised more than $700 million in Series A funding at a $6 billion valuation, one of the largest early-stage financings in the AI sector this year, as investors place increasingly aggressive bets on companies attempting to move beyond chatbot interfaces toward persistent, personalized AI systems embedded in dedicated hardware.
The oversubscribed round was led by Parkway Venture Capital and included a striking mix of strategic and financial investors spanning semiconductors, cloud infrastructure, enterprise software, and institutional asset management. Participants included NVIDIA, AMD Ventures, Intel Capital, Qualcomm Ventures, Salesforce Ventures, ARK Invest, Brookfield, and Prime Movers Lab.
The scale and composition of the financing underscore a broader shift underway in artificial intelligence markets, where competition is rapidly expanding beyond foundational models into what many companies now view as the next strategic battleground: personalized AI operating systems tightly integrated with proprietary hardware.
Hark says it is building “advanced personalized intelligence” designed to function more like a persistent digital collaborator than a conventional AI assistant.
“We’re building the AI that everyone deserves but no one has built yet — one that actually knows you, speaks your language, is highly personalized, and lives on hardware made for you,” said founder and CEO Brett Adcock.
The company’s thesis reflects growing dissatisfaction within parts of the AI industry with today’s dominant interface model, where large language models primarily operate through browser-based chat systems layered onto smartphones and laptops not originally designed for AI-native interaction.
Hark argues that future AI systems will require integrated stacks spanning foundation models, software infrastructure, memory systems, multimodal interaction, and dedicated devices built specifically for continuous AI engagement.
That vertically integrated strategy increasingly resembles approaches pursued by companies such as Apple in consumer computing or Tesla in autonomous systems, where hardware, software, and intelligence layers are designed together rather than assembled through partnerships.
The company plans to release its first AI models later this summer before eventually introducing AI-native hardware products designed to support persistent voice, vision, memory, and contextual interaction.
The move positions Hark within a fast-emerging category of AI startups attempting to define what comes after generative AI chatbots — a market increasingly focused on proactive agents, multimodal systems, and ambient computing experiences.
Adcock, who previously founded robotics company Figure AI and electric aviation startup Archer Aviation, has developed a reputation for pursuing capital-intensive frontier technology businesses built around vertically integrated engineering strategies.
Investors appear to be betting that the next wave of AI value creation may come less from model access itself and more from ownership of the user interface, memory layer, and interaction environment surrounding AI systems.
The involvement of semiconductor giants such as NVIDIA, AMD, Intel, and Qualcomm also highlights growing alignment between AI software ambitions and hardware ecosystem development. As AI workloads become more persistent, multimodal, and device-integrated, control over hardware architecture and edge compute infrastructure is becoming strategically important.
Hark’s emphasis on “personalized intelligence” additionally reflects broader industry movement toward systems capable of maintaining long-term contextual awareness across user behavior, communication patterns, workflows, and preferences.
That vision carries both significant commercial opportunity and major technical, privacy, and trust challenges. Persistent memory, continuous interaction, and proactive AI behavior are likely to intensify scrutiny around data ownership, surveillance concerns, and user control over autonomous systems.
Still, investor appetite for companies building beyond traditional chatbot paradigms has accelerated rapidly as the generative AI market matures and competition around foundational models intensifies.
Hark’s financing suggests many investors now believe the next major platform layer in AI may not simply be smarter models — but AI systems deeply integrated into everyday human interaction through purpose-built hardware, persistent memory, and continuously personalized software environments.
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