Arize AI detailed a benchmarking setup that pairs the open-source Harbor framework with its Phoenix observability platform to evaluate AI agents, MCP servers, skills, and CLIs in reproducible sandboxe…
Arize AI shipped a hosted MCP server for its Arize AX observability platform, exposing 45 tools plus server_info across projects, traces, datasets, experiments, evaluators, monitors, and prompts, conn…
Arize AI is a launch partner for MongoDB's Atlas Agent Engine, a new platform for building, deploying, and governing AI agents in production, with Arize AX adding trace-level observability and evaluat…
Arize AI's Jev 1.13.0 classifier matched LLM judges on accuracy while its returned probability strongly predicted its own correctness across 36,190 judgments, according to an Arize benchmark spanning …
Arize AI shipped sessions as a first-class unit of work in Arize AX between August 6 and September 18, letting users annotate, queue, preview, and filter whole conversations rather than individual spa…
A practical guide outlines LLM observability and evaluation tooling for small teams, indie developers, and startups, covering must-have capabilities such as request/response logging, latency and token…
TypeSafe AI released Jev, its first System One model, which returns typed answers with probability distributions for classification, scoring, and routing tasks in 70ms to 500ms at $0.042 per million i…
Arize AI's Signal agent in Arize AX now performs the first pass on production AI failures, scanning tracing projects on a schedule, grouping recurring failure patterns into issues, and writing investi…
Arize AI's Agent Experiments in Arize AX demonstrated that a prompt fix intended to make an e-commerce agent safer can degrade other workflows, with average task completion falling from 0.89 to 0.72 i…
Dynatrace acquired Arize AI to fold AI observability, evaluation and agent monitoring into its application observability platform, Dynatrace chief product officer Steve Tack and Arize AI co-founder an…
Arize AI software engineering intern reported cutting coding agent costs from about $100 to $15–$20 per run by routing the main loop of a Slack bot workflow to Kimi K3 Max, delegating supporting work …
LG Uplus signed a strategic memorandum of understanding with Arize AI to collaborate on monitoring AI agents, focusing on performance, response quality, and safety. The partnership will evaluate AI ag…
Arize AI outlines a cost-optimization workflow for LLM applications, emphasizing that reducing spend requires tracing complete workflows, comparing cost per validated outcome rather than cost per toke…
Arize AI's Signal tool, a managed agent in Arize AX, identified two hidden retry loops in the production agent Alyx, including a 43-call dataset retry that appeared as valid tool activity with an OK r…
Dynatrace (NYSE: DT) has signed a definitive agreement to acquire Arize AI in a cash and stock transaction valued at $915 million, pairing Dynatrace's AI-powered observability platform with Arize's to…
Dynatrace agreed to acquire Arize AI for $915 million to expand its AI evaluation capabilities from production monitoring to pre-production development. The deal gives Dynatrace a foothold with AI eng…
Dynatrace (NYSE: DT) announced on August 13, 2026, that it will acquire Arize AI, a Berkeley-based AI observability startup, for $915 million in cash and stock. The deal aims to enhance Dynatrace's ab…
Arize AI and Atlan report that enterprises running over 100 million AI evaluations monthly still face agent failures because model choice alone cannot ensure reliability, with context and harness engi…
Arize AX, the AI observability platform from Arize AI, now natively supports OpenTelemetry GenAI semantic conventions, enabling teams to send gen_ai.* telemetry directly over OTLP without custom proce…
Arize AI's analysis warns that the EU AI Act's transition period under Article 111 may not cover significantly modified AI agents, urging product and engineering teams to operationalize Responsible AI…