Austin, Texas — Trustwise, an AI trust management company, has announced a year of significant milestones in 2025, positioning itself as a key provider of runtime governance and control for enterprise agentic AI. The company delivered measurable results for Global 500 institutions operating in high-stakes environments, earned industry recognition, and established strategic partnerships aimed at accelerating the safe deployment of AI at scale.
Founded by Manoj Saxena, former General Manager of IBM Watson, Trustwise addresses a critical need in enterprise AI adoption: the runtime governance of autonomous and agentic AI systems. This governance is crucial at the point of decision-making, where risk is highest, particularly as enterprises deploy AI in high-stakes and regulated workflows where traditional monitoring methods are often insufficient. Trustwise functions as an AI Control Tower for agentic AI, offering centralized visibility, real-time governance, and enforceable controls across various generative and agentic AI systems. Through its Guardian Agents and modular AI Shields, the platform supervises agent behavior, restricts tool usage, and enforces enterprise policies in real time, aiming to ensure AI systems remain safe, compliant, efficient, and aligned while operating at machine speed.
Manoj Saxena, CEO and founder of Trustwise, noted the industry’s shift in 2025: “Enterprises realized that observing AI behavior isn’t enough. You have to control and align it.” He added, “Every conversation we had with AI leaders and CISO’s reinforced what we’ve known since day one: the future of enterprise AI demands runtime control. Our customers proved it works. Major awards validated our approach. And strategic partnerships positioned us to scale this capability across the industry.” Saxena also projected that the future of enterprise AI, driven by autonomous agents making decisions at machine speed, relies on the ability to establish trust. “We’re building the trust layer that makes autonomous AI not just possible, but provably safe,” he stated.
In 2025, Trustwise received multiple industry awards for its approach to AI trust management. The company was named a 2025 Gartner® Cool Vendor™ in Agentic AI for Banking and Investment Services. The Trustwise platform was recognized as Most Innovative AI Product, and Manoj Saxena as a Most Innovative Tech Startup leader in theCUBE Tech Innovation Awards 2025, building on its 2024 InfoWorld Technology of the Year Award. Saxena commented on the Gartner recognition: “Financial services organizations and other highly regulated industries need AI solutions that deliver both innovation and accountability. Our approach to governance at runtime through the Trustwise Harmony AI platform enables leaders to accelerate AI deployment for high-stakes use cases while maintaining the highest standards of safety, compliance, security and operational control.”
The Trustwise platform is currently in production with financial services, healthcare, and professional services organizations where AI failures could pose significant operational, regulatory, and reputational risks. In 2025, enterprise deployments demonstrated the platform’s capabilities in moving agentic AI from pilot phases to production. Specific outcomes include a large healthcare platform achieving over 90% clinical guideline alignment, 64% lower carbon emissions, 40% reduced token costs, and 40% improved hallucination detection, supporting thousands of medical learners. A global professional services firm reported a 20% improvement in hallucination detection, an 80% reduction in LLM spend, and 10X faster knowledge retrieval for over 17,000 users. A tier-one global financial institution governed more than 200 autonomous agents, achieving a 20% reduction in carbon emissions and maintaining alignment with ISO/IEC SCI 1.0 and enterprise sustainability standards. A multinational consumer brand enforced safety and corporate brand policies in real time, reducing evaluation latency in a customer service voice agent. Across all deployments, Trustwise reported 90-100% runtime policy alignment, an 83% operational cost reduction, and a 64% decrease in carbon emissions, while simultaneously governing hundreds of thousands of agents.
Dr. Paul Dongha, head of responsible AI and AI strategy at NatWest Group, commented on their experience: “The financial services industry demands AI solutions that deliver both performance and accountability. Trustwise understands this balance. Our proof of concept with Trustwise showed clear promise, reducing costs, cutting response latency and lowering carbon emissions, all while meeting the strict safety and governance standards financial services require.”
Trustwise also engaged in strategic partnerships to expand its market reach. The company joined the NVIDIA Inception Program in August 2024 and announced a research collaboration with NYU in April 2025, focusing on enhancing enterprise AI reliability, speed, and cost efficiency. The company is supported by investors including Hitachi Ventures, Allstate Strategic Ventures, Firestreak Ventures, and Grit Ventures. Gayathri Radhakrishnan, Partner at Hitachi Ventures, stated, “We are confident that Trustwise has the ability to unlock the full potential of generative AI for enterprises across various sectors by being the foundation of trust.”
Throughout 2025, Trustwise enhanced its platform with key innovations: the AI Control Tower for enhanced centralized governance; Agentic AI Shields, which are runtime enforcement layers including Prompt Shield, Compliance Shield, Brand Shield, Cost Shield, and Carbon Shield; Guardian Agents for governing agent fleets with autonomous trust and human-in-the-loop oversight; and the THEO Engine (Trustwise High-Efficiency Optimization engine) for continuous evaluation and runtime guardrail enforcement. The platform offers compliance coverage across 17 global standards, including ISO 42001, NIST AI RMF, EU AI Act, HIPAA, FCA, and ISO/IEC 21031:2024 SCI standards. It integrates with major agent frameworks like LangGraph, AutoGen, CrewAI, and LangChain, and supports leading foundation models such as GPT, Claude, Gemini, Mistral, and Llama. Deployments are supported in on-premises, edge, and cloud environments across AWS, Azure, and GCP.
