Quantiphi, an AI-native services company, and LangChain, the company behind the industry-standard LangSmith platform, today announced a strategic partnership to help enterprises adopt agent engineering at scale, from first use case to enterprise-wide rollout, and achieve measurable value. The partnership was announced in Marlborough, Mass., and brings together LangChain's enterprise agent engineering platform with Quantiphi's forward-deployed engineering capabilities and enterprise AI transformation expertise.
The partnership brings together LangChain's enterprise agent engineering platform, which includes LangSmith, LangGraph and Deep Agents, with Quantiphi's forward-deployed engineering capabilities, enterprise AI transformation expertise and deep industry experience across financial services, insurance, healthcare and life sciences, telecom and others.
Together, Quantiphi and LangChain will enable enterprises to build agentic systems within their secure environments while helping them retain control over their data, context and intellectual property. The joint approach is designed to preserve flexibility across frontier and open-weight models and cloud infrastructures, helping customers move from fragmented experimentation toward greater AI self-sufficiency without sacrificing portability or control.
"Being successful with Agentic AI in the enterprise requires domain knowledge, active SME collaboration and curating data flywheels," Quantiphi Head of Frontier AI GTM Siddharth Kotwal said. "By unifying Quantiphi's engineering expertise with LangSmith platform by LangChain, we seamlessly embed agents into core business workflows, translating innovation into measurable enterprise value."
The partnership will focus on three key priorities:
Governance and Observability for Agentic Transformation
Establishing observability, evaluation and governance tools for agentic transformation in the enterprise. LangSmith provides visibility into how agents behave in production, enabling testing, deployment and monitoring at scale.
Embedded Engineering with Forward-Deployed Support
Forward-deployed engineering support to scale enterprise workflows and systems with LangChain's platform, helping design, build and deploy agents inside the enterprise.
Continual Learning for Agent Performance Improvement
Creating feedback loops that convert production traces, expert feedback and evaluation outcomes into continuously improving agent performance, compounding intelligence over time.
"LangSmith gives teams visibility into how their agents actually behave in production," LangChain Vice President of Sales Darren Moffett said. "Quantiphi brings the implementation expertise to design, build and deploy those agents inside the enterprise. Together, we can take a customer from a working prototype to a production agent without them having to bridge the two on their own."
The partnership is designed to help enterprises accelerate the path from pilot to production, standardize agent engineering across the organization and build lasting AI capability that becomes more valuable with every deployment. By embedding agents into core business workflows, the joint solution aims to translate AI innovation into measurable enterprise value while maintaining sovereign AI foundations.
About Quantiphi
Quantiphi is an AI-native services partner that empowers enterprises to own their intelligence and compound their competitive edge. Quantiphi builds sovereign AI foundations within an enterprise's secure environment, giving them absolute control over their data, context, IP and an AI foundation that is portable across a variety of cloud infrastructures. By getting their data AI-ready and shifting from fragmented experimentation to lean, sovereign engineering, Quantiphi enables true organizational self-sufficiency by transforming AI from a consumption expense into a high-ROI asset. Quantiphi measures success by tangible business outcomes, delivering the lasting AI capability that compounds their competitive edge.
About LangChain
LangChain enables every company to own their intelligence. LangChain's open, model-agnostic harnesses give teams choice and control over how they build their agent architecture. LangSmith brings testing, deployment and monitoring together so teams can continuously improve their agents, compound intelligence and govern them at scale.
