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NVIDIA doubles down on “personal agents”

NVIDIA doubles down on “personal agents”

O P
January 05, 2026

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The Latest Agentic Development

NVIDIA doubles down on “personal agents” running locally

NVIDIA’s CES “special presentation” recap included a demo of a personalized AI agent running locally on DGX Spark and embodied through a small robot positioning local inference + model routing as an enabler for responsive, privacy-preserving agent experiences. The meta-signal: “agents everywhere” is being pushed as a compute + software platform story (not just app-layer product UX).

SoundHound brings “agentic voice commerce” into cars + TVs

SoundHound unveiled agentic voice commerce powered by its Amelia 7 platform, showing AI agents that can order food, make reservations, pay for parking, and book tickets via voice. Strategic signal: “commerce-by-conversation” is moving from chatbot demos to transaction-capable, multi-agent orchestration in real consumer surfaces (automotive + living room).

PubMatic launches AgenticOS for agent-to-agent programmatic buying

PubMatic introduced AgenticOS, an “operating system” to orchestrate autonomous agent-led advertising execution across premium inventory. They claim early tests show 87% faster campaign setup and 70% faster issue resolution, and announced an Agentic AI Acceleration Program to push pilots into live workflows in Q1 2026.

Optable’s Planner Agent cuts publisher ad planning from “weeks to hours”

Optable launched Planner Agent (GA) to automate the publisher workflow from RFP → audience building → inventory packaging → activation, with human-in-the-loop controls. Notable infra detail: it’s built on open standards including MCP and AdCP, positioning it for interoperability with agentic buyers and LLM-driven systems.

Oversai ships AI Agent QA: “observability for the AI workforce”

Oversai launched a dedicated AI Agent Quality Assurance platform focused on hallucination detection, brand-safety guardrails, and “100% interaction coverage” via automated evaluation. They report customer impact claims like 95% reduction in undetected hallucinations and 85% faster QA vs. manual review—pointing to a fast-forming “agent ops” tooling layer as deployments scale.

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