Anthropic extends its plugin architecture from Claude Code to Cowork, enabling department-specific AI automation across enterprises. The move signals a strategic shift toward specialized workplace assistants, intensifying competition in enterprise AI while raising questions about the future of knowledge work and organizational transformation.
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LLM.co Expands Private, Custom LLM Offering as Enterprise AI Spending and Adoption AccelerateSeattle, Washington, United States, January 31, 2026 -- Private, custom large language models (LLMs) are rapidly becoming core enterprise infrastructure as organizations push generative AI into production while seeking to retain control over sensitive data, intellectual property, and regulatory exposure.According to Gartner, worldwide artificial intelligence spending is projected to reach $2.52 trillion in 2026, representing year-over-year growth of more than 40 percent, with enterprise infrastructure and custom deployments accounting for a significant share of new investment. Separately, International Data Corporation (IDC) estimates organizations will spend over $370 billion on generative AI implementation between 2024 and 2027, signaling a multi-year capital shift toward operational AI systems rather than experimental tools.At the usage level, McKinsey & Company reports that more than 70 percent of organizations are now regularly using generative AI, up from roughly one-third just two years earlier—placing growing pressure on companies to address data security, compliance, and performance reliability at scale.In response to these market dynamics, LLM.co today announced an expanded suite of private, custom LLM solutions designed for enterprises that want the productivity gains of generative AI without exposing proprietary data or relying on unmanaged public endpoints.Why private LLMs are acceleratingEnterprise adoption is no longer constrained by curiosity—it is constrained by risk.Gartner forecasts global generative AI spending alone will exceed $600 billion annually by 2025, while IBM research indicates that more than 40 percent of large enterprises have already deployed AI in active production environments, with another 40 percent in advanced testing phases.At the same time, industry security assessments consistently show that most enterprise AI systems lack sufficient isolation, monitoring, or governance controls—making sensitive data exposure a primary executive concern as usage expands.“Organizations aren’t pulling back from AI—they’re getting more selective about how it’s deployed,” said Samuel Edwards, Chief Marketing Officer at LLM.co. “The dominant pattern we’re seeing is a shift away from generic public models toward private, domain-trained systems that align with real business risk.”What LLM.co deliversLLM.co designs and deploys private LLM systems built for production environments, including:Private and controlled deployments aligned to internal security and compliance requirementsDomain-specific model customization to improve accuracy and reduce hallucinationsEnterprise knowledge integration using retrieval-augmented generation (RAG)Governance and audit controls for permissioning, logging, and policy enforcementOngoing evaluation and monitoring to ensure long-term performance stability“Most enterprises don’t need more demos—they need AI systems that can actually operate inside regulated, data-sensitive workflows,” said Timothy Carter, Chief Revenue Officer at LLM.co. “Private LLM architectures are becoming the default path for serious adoption.”Market signal: customization is becoming mainstreamEven major analysts now treat specialization as inevitable. Gartner has formally separated spending on general-purpose generative models from specialized enterprise models, projecting double-digit annual growth in domain-specific AI systems as organizations seek tighter control and higher reliability.Meanwhile, large-scale infrastructure investment continues to accelerate. According to Reuters industry reporting, global investment in AI compute and data center capacity has reached record levels as demand for private model deployment increases across financial services, legal, healthcare, manufacturing, and cybersecurity sectors.About LLM.coLLM.co designs, deploys, and operationalizes private and custom and hybrid large language models for organizations that require security, governance, and real-world performance. The company helps enterprises move from AI experimentation to production-grade systems that integrate proprietary data while maintaining full control.Contact Info:Name: Samuel EdwardsEmail: Send EmailOrganization: Digital MarketingWebsite: https://digital.marketingRelease ID: 89182423Should you identify any discrepancies, concerns, or inaccuracies in the content provided in this press release or require assistance with a press release takedown, we strongly urge you to notify us promptly by contacting error@releasecontact.com (it is important to note that this email is the authorized channel for such matters, sending multiple emails to multiple addresses does not necessarily help expedite your request). Our responsive team is committed to addressing your concerns within 8 hours by taking necessary actions to resolve identified issues diligently or guiding you through the necessary steps for removal. Our dedication lies in providing accurate and reliable information.
Samsung’s current non-foldable flagship smartphone, the Galaxy S25 Ultra, offers up to 20x zoom for video recording, on the latest stable version of One UI, which is One UI 8.0. Well, with Samsung’s next version of One UI, One UI 8.5, the phone may offer a higher zoom level for video recording. On X, a [...]The post One UI 8.5 brings higher zoom capabilities to videos on the Galaxy S25 appeared first on SamMobile.
Apple usually releases its flagship iPhone lineup in September and for a few years it has included four devices. However, a new report has suggested that the Cupertino-based tech giant is looking to switch things up a little, which could mean the vanilla iPhone 18 being pushed to next year, i.e. 2027. According to a [...]
WhatsApp has released a new Android update through the Google Play Beta Program, bringing the version up to 2.26.4.11.What’s new in this update? WhatsApp is rolling out a feature that shows how many times a channel update has been forwarded, and it’s available to some beta testers! ... Source link
Including a free monthly pass.All the way back when Zenless Zone Zero first released, HoYoverse teased idol group Angels of Delusion. And now, some 18 or so months later, they’re here. The next update, Encore for an Old Dream, will launch from 6th February.The group, who’ve appeared in recent events, will feature as part of a new lower-stakes story, which serves as an interlude following the recent conclusion of Season 2.Read the full article on pushsquare.com
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