Straive has entered a partnership with Anthropic to help enterprises build, deploy and run AI solutions across business workflows. The tie-up combines Anthropic's work on safe and responsible AI with Straive's data engineering, domain-specific solutions and AI operationalisation services.
The collaboration targets a problem many companies now face after generative AI pilots: moving applications into production while keeping control over data, decisions and accountability. Straive said successful deployment depends on more than model choice. It also requires data preparation, workflow redesign, clear points for human intervention and ongoing maintenance as business needs change.
Straive's offering is organised around two capabilities. Build AI covers data readiness, domain expertise and solution design. Run AI covers deployment, governance, human oversight and continuous improvement. Together, they are meant to tie AI technologies to specific operational requirements rather than treat implementation as a standalone technology project.
"Responsible AI has to be built into how a solution is designed, deployed, and used every day," said Naveen Gattu, Chief Growth Officer at Straive. Sean Manning, VP and Global Head of Partnerships, said enterprises need a clear path from AI capability to responsible use, and that the partnership will address the data, workflow and governance requirements that matter most once systems go live.
Straive works with organisations in financial services, healthcare and life sciences, manufacturing and supply chain, media and entertainment, education and research, and publishing. Because these sectors have different data requirements and operational constraints, the company said it will connect AI capabilities with specialised workflows and define where human involvement remains necessary.
The agreement reflects a broader shift among enterprise AI providers toward the operational layer around generative AI, including data foundations, integration and oversight. Financial terms were not disclosed.
