SandboxAQ, an enterprise SaaS company providing solutions at the nexus of AI and quantum technology, has announced an expansion of its Switch AI offering to give enterprises greater choice, control, and accountability across their agentic AI workforce. Building on its open-source Switch Rooms offering, the company is introducing Switch Trust and Switch ROI to help organizations evaluate agent risk, measure business value, and optimize performance across agents, models, and providers.
SandboxAQ launched Switch in August 2026 as a Commons Clause Apache 2.0 open-source offering built around the premise that companies should have the freedom to choose and change their AI agents, models, and providers without losing control of their context. Switch Rooms brings people and agents together across Slack, Microsoft Teams, Discord and other workplace tools, enabling teams to work with the agents they choose while retaining ownership of their shared context, history, and knowledge. As AI technology evolves, organizations can adopt new agents and models without starting over or becoming dependent on a single provider.
The first generation of enterprise AI largely measured adoption through seats, usage and token consumption. AI agents represent a fundamental shift as they can make decisions, take actions and work alongside people, creating a new set of expectations for oversight and accountability.
Mount Sinai West's MSW Lab is already working with Switch Trust to build G Board, a framework that enables physicians to create clinical applications using AI agents.
"In the MSW Lab, physicians build real healthcare software with AI agents, so we have to prove those agents behave safely," said Dr. Jeffrey Bander, Chief of Cardiology at Mount Sinai West and Associate Professor of Cardiology and Artificial Intelligence at the Icahn School of Medicine at Mount Sinai. " Switch AI gives us a way to build that trust into how we work, so our physicians can focus on solving clinical problems without having to become AI security experts.
The new products extend that foundation with the controls enterprises need to move agents from experimentation into everyday work.
Switch Trust helps make every agent safe to put on real work by finding, testing, and guarding every agent a company runs. It works in four steps:
Discover: Inventories the agents, models, tools, MCP servers, and dependencies running across connected environments and code repositories, including agents security teams may not know exist. It records ownership, source, dependencies, findings, and severity for a live picture of agent footprint.
Scan: Analyzes agents in code and the cloud for security vulnerabilities. It combines static analysis with AI-assisted triage to filter false positives, assigns severity-score findings, maps issues to OWASP agentic security categories, and recommends fixes.
Evaluate: Connects directly to an agent and attacks it with adversarial and functional probes, including prompt injection, jailbreak, data-leakage, and instruction-adherence tests. It is extensible so teams can bring their own evaluations, with each attack getting a pass/fail result that rolls into an overall health score.
Monitor: Protects agents in production. Teams can onboard an agent through the SDK, which captures prompts, responses, model calls, latency, sessions, and policy events. Agents running in Switch Rooms are protected by guardrail policies that detect prompt injection, secrets, PII, toxicity, and jailbreaks, with options to block, redact, alert, or log unsafe behavior.
Switch ROI shows what every agent costs and delivers, with specific recommendations to lower cost and improve performance.
Measure: Tracks spend and performance at individual agent, session, and turn level with budgets, burn rates, and alerts. It connects spend to real outcomes, such as tickets resolved, pull requests accelerated, or tasks automated, rather than infrastructure metrics like tokens or API calls.
Prove: Calculates the value each agent produces against what it costs. Switch establishes the human baseline, tracks agent spend automatically, and measures metrics like cost per outcome and net ROI to show whether an agent is earning its keep.
Optimize: Finds where spend is leaking and decides what to fix, reroute, or trim. Switch ranks recommendations for each agent, each with estimated monthly savings range and confidence level, covering poor model selection, unused tools, resent context, retries and loops, and overly long outputs.
"More agents doesn't automatically mean more value. We've seen this across many users: in cases where we thought agents could help avoid a net-new hire, the AI spend quickly became more expensive than hiring a full-time person," said Mohammed Aboul-Magd, GM of Switch AI at SandboxAQ. "That's why ROI can't just mean 'we adopted AI.' You need to know what every agent costs, what it delivers and how to make it better over time. That's the problem Switch ROI is built to solve."
"We're entering a world where companies will have hundreds, potentially thousands, of AI agents working alongside their employees. But you wouldn't hire a thousand people without knowing their qualifications, what they'll cost or whether they're delivering results," said Jack Hidary, CEO of SandboxAQ. "The same discipline needs to apply to AI agents. And as the technology advances, companies must be able to switch to better agents and models without losing the knowledge they've built. The intelligence belongs inside the company, not the AI provider.
The Switch platform addresses the growing enterprise challenge where AI agents are multiplying faster than companies can determine whether they are safe, effective or worth the investment.
About SandboxAQ
SandboxAQ is a B2B company delivering solutions at the intersection of AI and quantum techniques. The company's Large Quantitative Models (LQMs) deliver critical advances in life sciences, financial services, navigation, and other sectors. SandboxAQ is an independent, growth-backed company funded by leading investors and strategic partners, including funds and accounts advised by T. Rowe Price Associates, Inc., Google, Alger, IQT, US Innovative Technology Fund, S32, Paladin Capital, BNP Paribas, Eric Schmidt, Breyer Capital, Ray Dalio, Marc Benioff, Thomas Tull, and others.
