ServiceNow AI
servicenow-ai-ab6fa21e·13 events·first seen 1mo agoAliases: ServiceNow AI, ServiceNow
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ServiceNow Selects Claude as Default Model for Build Agent and Enterprise AI Platform
ServiceNow has chosen Claude as the default model for its Build Agent coding and automation product and as a preferred model across the ServiceNow AI Platform, which processes over 80 billion enterprise workflows annually. The partnership includes internal deployment of Claude and Claude Code to ServiceNow's 29,000+ employees, with reported 95% reduction in seller preparation time. Claude Opus 4.5 is highlighted as leading medical benchmarks, targeting healthcare and life sciences agentic applications including claims authorization. ServiceNow expects Build Agent usage to quadruple over the next 12 months.
A New Framework for Evaluating Voice Agents (EVA)
ServiceNow AI has published a blog post on Hugging Face introducing EVA, a new evaluation framework designed specifically for voice agents. The framework appears to address gaps in existing evaluation methodologies for assessing voice-based AI agent performance. As voice agents become more prevalent in enterprise and consumer settings, standardized evaluation protocols are increasingly important for benchmarking progress.
AprielGuard: A Guardrail for Safety and Adversarial Robustness in Modern LLM Systems
ServiceNow AI has released AprielGuard, a guardrail system designed to improve safety and adversarial robustness in LLM deployments. The system targets prompt injection, jailbreaks, and other adversarial inputs that bypass standard safety measures. It is presented as a component for enterprise LLM pipelines seeking more robust content moderation and safety filtering.
Apriel-H1: The Surprising Key to Distilling Efficient Reasoning Models
ServiceNow AI introduces Apriel-H1, a reasoning model developed via knowledge distillation aimed at producing efficient inference. The blog post discusses techniques for distilling reasoning capabilities from larger models into smaller, more deployable ones. This work targets enterprise deployment scenarios where inference cost and latency matter alongside reasoning quality.
SyGra: The One-Stop Framework for Building Data for LLMs and SLMs
ServiceNow AI introduces SyGra, a framework designed to streamline synthetic and curated data generation for training large and small language models. The framework aims to provide a unified pipeline covering data synthesis, filtering, and quality control for LLM/SLM development. The blog post appears on Hugging Face, positioning SyGra as a practical tooling contribution to the data preparation ecosystem.
PipelineRL: ServiceNow's Pipeline-Based Reinforcement Learning Framework for LLMs
ServiceNow introduces PipelineRL, a reinforcement learning training framework for large language models published via the Hugging Face blog. The post describes a pipeline-based approach to RL training, likely addressing throughput and efficiency challenges in RLHF or similar post-training workflows. As a tier-2 source with minimal body content, the technical depth is unclear but the topic is relevant to alignment and training infrastructure.
EVA-Bench Data 2.0: Expanded agentic tool-use evaluation benchmark with 121 tools and 213 scenarios
ServiceNow AI has released EVA-Bench Data 2.0, an evaluation benchmark covering 3 domains, 121 tools, and 213 scenarios for assessing agentic AI systems. The benchmark appears designed to measure tool-use and multi-step task completion capabilities across diverse enterprise-relevant contexts. This expands the evaluation surface for agent benchmarking, which remains an active area of development.
ServiceNow AI benchmarks frontier ASR systems on code-switched bilingual speech
ServiceNow AI published a benchmarking study evaluating frontier automatic speech recognition (ASR) systems on code-switched speech, where speakers alternate between two languages mid-conversation. The work targets a practical gap in voice agent deployments serving bilingual customer populations. Results assess how well current ASR models handle this linguistically complex scenario, with implications for enterprise voice AI reliability.
vLLM V0 to V1: Correctness Before Corrections in RL
A ServiceNow AI blog post on Hugging Face discusses lessons learned migrating reinforcement learning training pipelines from vLLM V0 to V1. The piece focuses on correctness issues encountered during the transition and how they were diagnosed and resolved before applying RL corrections. This is relevant to practitioners using vLLM as an inference backend for RL-based LLM training workflows.
Introducing SyGra Studio
ServiceNow AI has announced SyGra Studio, a new product introduced via the Hugging Face blog. The body of the post is empty, so specific technical details, capabilities, or positioning are not available from this item. Based on the title and source, it appears to be a tooling or platform release in the AI/ML space from ServiceNow's AI division.
StarCoder: A State-of-the-Art LLM for Code
Hugging Face and ServiceNow released StarCoder, a large language model for code trained on permissively licensed data from The Stack dataset. The model targets code generation, completion, and understanding tasks and is positioned as an open-weights alternative to proprietary code models. The release includes model weights, training details, and an associated technical report.
ServiceNow powers actionable enterprise AI with OpenAI
ServiceNow is expanding its integration with OpenAI frontier models to power AI-driven workflows, summarization, search, and voice capabilities across the ServiceNow Platform. The partnership brings OpenAI's models into enterprise IT service management and workflow automation contexts. This represents a deepening of enterprise deployment patterns for OpenAI's commercial model offerings.
Anthropic appoints Paul Smith as first Chief Commercial Officer
Anthropic will appoint Paul Smith as its first Chief Commercial Officer, with the role to begin later in 2025. Smith brings over 30 years of enterprise go-to-market experience from Microsoft, Salesforce, and ServiceNow. The announcement coincides with Anthropic citing strong enterprise growth metrics, including hundreds of thousands of active API customers and Claude Code recurring revenue growing over 5x in two months.