Perceptron Inc. has launched Mk1, a proprietary video analysis reasoning model designed for temporal continuity and physical understanding, including object dynamics and analog reading. The company claims performance leadership on spatial and video benchmarks while pricing the API at $0.15 per million input tokens and $1.50 per million output tokens—80 to 90% cheaper than major frontier models.
AI voice startup Vapi has reached a $500M valuation after Amazon Ring selected its platform over 40 rivals. The company says enterprise demand has surged, with its business growing tenfold since early 2025 as firms move customer support and sales calls to AI agents. The win signals accelerating adoption of voice automation in enterprise workflows.
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Cisco leaders say the barrier to agentic AI production isn’t models or compute, but identity governance. With hospitals and factories letting non-human “agents” access sensitive systems, enterprises often can’t inventory, scope, or revoke those identities fast enough. The result: a trust gap and expanding blast radius, solved through secure delegation, cross-domain telemetry, and network-enforced microsegmentation.
HP has unveiled more than 20 new products and solutions in India, extending its AI-driven portfolio across personal computing, enterprise infrastructure, collaboration tools, and printing. The update signals a broader push to embed AI into everyday office workflows, not just laptops, positioning HP to compete in the rapidly expanding AI PC market and workplace hardware stack.
Capillary Technologies reported a strong March quarter, with operating revenue rising 26% and profit after tax surging 233%. The company credited growth to expanding its customer base, winning new contracts, and integrating its recent Kognitiv acquisition. It also pointed to a strategic partnership with a US retailer and continued expansion of global operations.
Anthropic has released Claude Security in public beta for enterprise teams, using AI to scan codebases for vulnerabilities and generate fixes. Built on Claude Opus 4.7, the system can reason through code by tracing data flows and mapping component interactions, aiming to catch issues that traditional security tools may miss.
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AWS Quick has expanded into a desktop-native agent that maintains a persistent personal knowledge graph built from local files and connected SaaS apps. Instead of waiting for prompts, it can proactively suggest and execute actions using learned context—potentially creating “shadow orchestration” beyond what enterprise control planes can fully observe.
Bridgewater’s CIOs say AI is creating an existential risk for legacy software companies, likening the disruption to the shakeup once triggered by online retail. They also point to geopolitical tensions affecting global markets and resource availability, arguing that companies must adapt quickly or face significant disruption as the scramble for resources intensifies.
India’s statistics ministry plans to release granular city-level reports for major urban centers. The new publication will draw on the Periodic Labour Force Survey and the Annual Survey of Unincorporated Sector Enterprises, giving a clearer picture of local labour markets and small enterprise activity. Officials say the data will strengthen policy decisions and improve understanding of urban economic dynamics.
Enterprises are moving AI agents from experiments to production, and the key question is how to manage them. Google and AWS are taking opposite paths: Google emphasizes a Kubernetes-style control plane for governance and identity, while AWS pushes config-based harnesses in the execution layer for faster deployment. Both aim to reduce new risks like state drift in long-running agents.
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A new report finds Indian enterprises are eager to deploy AI, but most remain far from large-scale implementation. Even after meaningful investments, progress is slowed by weak AI governance and poor alignment between business needs and execution. The report argues Learning and Development teams must shift from content delivery to decision support, building deeper capabilities for real AI adoption.
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