Inside the team revolutionizing AI Care
Sword scales safer AI Care with NVIDIA open models
From national triage to mental health support, Sword is using NVIDIA technologies to expand access and strengthen how it develops and tests conversational AI.
October 21, 2026 • 4 min read
Introducing Dawn 1: Frontier intelligence for Mental Health Support
Moving towards a new frontier in AI-based mental health support with post-training.
October 14, 2026 • 12 min read
AI judge bias: why judges favor their own outputs
Rubric-based evaluation was supposed to make LLM judges objective. We show that judges keep favoring their own outputs even when the rubric is fully objective (e.g., a unit test), and we quantify what that costs when ranking frontier models.
September 23, 2026 • 12 min read
How We Cut Enterprise AI Costs by 94% Without Slowing Down Engineers
Learn how Sword Health designed a multi-agent AI system to handle member support tickets at scale — combining RAG-powered knowledge retrieval, dynamic tool orchestration, and continuous evaluation to resolve cases faster without sacrificing quality.
August 4, 2026 • 21 min read
Arbor: a Framework for reliable navigation of critical conversation flows
Navigating complex decision trees while maintaining natural conversation remains an unsolved challenge, here's how Arbor solves it.
July 28, 2026 • 10 min read
MindGuard: open-source guardrails that understand clinical context
MindGuard is a family of open-source safety classifiers for mental health conversations that reduce false positives while accurately identifying real crisis signals.
June 15, 2026 • 12 min read
Building our Care Coordinator agent
Learn how Sword Health designed a multi-agent AI system to handle member support tickets at scale — combining RAG-powered knowledge retrieval, dynamic tool orchestration, and continuous evaluation to resolve cases faster without sacrificing quality.
May 18, 2026 • 10 min read
Inside MindEval: building a benchmark for LLMs in multi-turn mental health support
How we designed, validated, and open-sourced a benchmark for evaluating LLMs in realistic multi-turn mental health conversations and what we found across 12 frontier models.
May 5, 2026 • 12 min read
How we built Phoenixʼs real-time voice experience
How we built Phoenix’s real-time voice experience, combining voice AI, clinical memory, and safety guardrails to guide members through treatment at scale.
March 13, 2026 • 12 min read
