
AI startup says a multinational industrial software company selected its platform as the core GenAI engine for engineering, simulation, and operational workloads.
An AI startup spun out from Intel has completed a major funding round after being selected by a multinational industrial software company to provide the core generative AI engine for the software provider's next-generation products. The deal is significant because the industrial software company chose this specialized platform over foundation model providers and enterprise AI vendors through a competitive evaluation focused on capabilities needed for mission-critical industrial applications: accuracy, scale, security, and cost. The selection reflects growing interest in AI platforms tailored to specific industries rather than general-purpose models, though analysts note it remains early to determine whether specialized systems will displace general-purpose AI. The partnership will support the AI startup's expansion into manufacturing, energy, construction, and other asset-intensive sectors.

Generative AI has reshaped how software gets built. What began as line-by-line autocomplete now spans full application generation, multi-agent build pipelines, and natural-language interfaces to entire codebases. Large language models trained on code can read context, follow intent, and produce working frontends, backends, and infrastructure with little manual setup. For early-level AI engineers, software engineers, and data scientists, the practical question is no longer whether these tools

The all-cash deal gives MoEngage access to technology that assigns AI agents to individual customers.

A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you're facing away from the camera. Starting June 23rd, Google's expanding its facial recognition feature so that people you've tagged in your Familiar Faces library can continue to be identified when their faces aren't clearly visible, using "additional non-biometric signals (body size, clothing color, etc.)." The Familiar Faces library will also begin aut
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