Partnership strengthens Straive’s ability to help enterprises scale AI for measurable business outcomes.
Straive has been named an OpenAI Select Partner within the OpenAI Partner Network, strengthening its ability to help enterprises build, deploy and scale AI solutions.
The OpenAI Partner Network brings together partners with industry expertise, delivery capabilities and customer relationships to help organisations translate AI capabilities into measurable business impact.
As an OpenAI Select Partner, Straive will work with OpenAI to support the responsible adoption and scaling of enterprise AI. Its Build AI and Run AI capabilities span data readiness, solution design, deployment, governance and continuous improvement, helping organisations integrate AI into business-critical workflows.
“AI delivers value when it becomes part of how people make decisions and get work done every day,” said Naveen Gattu, Chief Growth Officer at Straive. “This partnership creates an opportunity to bring OpenAI’s capabilities into industry-specific workflows, supported by the governance, human oversight and continuous improvement enterprises need to scale with confidence.”
Sean Manning, VP and Global Head of Partnerships at Straive, said: “Enterprises need more than access to powerful models. They need the domain context, data foundations and operational discipline to make AI useful at scale. Being named an OpenAI Select Partner creates new opportunities to combine OpenAI’s capabilities with Straive’s AI operationalisation expertise to deliver dependable business outcomes.”
Straive serves organisations across financial services, healthcare and life sciences, manufacturing and supply chain, media and entertainment, education and research, and publishing. Its generative AI portfolio includes LLM Foundry, a multi-model platform that supports OpenAI models and offers reusable components for enterprise application development.
Straive plans to expand its OpenAI-related solutions and delivery capabilities, helping enterprises move beyond AI experimentation towards governed deployment, scalable adoption and continuous optimisation.
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