[{"command":"insert","method":"html","selector":"#head_info","data":"\u003Ch2 class=\u0022offer-title\u0022\u003EAI Foundations \u0026 Partners Platforms\u003C\/h2\u003E\n        \u003Cdiv class=\u0022intro\u0022\u003ESia deploys and scales the platforms AI runs on, with its tech partners Anthropic, OpenAI, Databricks and AWS: Claude and ChatGPT Enterprise rollouts, coding agents, agentic and data platforms, evaluation pipelines and an Agentic Control Tower for cost, risk and permissions.\u003C\/div\u003E","settings":null},{"command":"insert","method":"html","selector":"#offer_list","data":"\u003Ch3 class=\u0022title\u0022\u003EOur offers\u003C\/h3\u003E\n            \u003Cdiv class=\u0022sectors_depth\u0022\u003E\n                \u003Cdiv class=\u0022ct_expertises\u0022\u003E\n                    \u003Cdiv class=\u0022large\u0022\u003E\n                        \u003Cul class=\u0022list_expertises\u0022\u003E\n                            \u003Cli\u003E\u003Cdiv class=\u0022item_expertise\u0022\u003E\n    \u003Cdiv class=\u0022ct_title\u0022\u003E\n        \u003Cp class=\u0022bloc_title-small\u0022\u003E\n            Claude Enterprise Deployment \u0026amp; Forward Deployed Success\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n        \u003Cdiv class=\u0022ct_description\u0022\u003E\n        \u003Cp class=\u0022desc_expertise\u0022\u003E\n            \tSia provides forward-deployed Claude success management, embedding specialists on-site to accelerate enterprise Claude adoption and measurable value.\n\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n    \n    \u003C\/div\u003E\n\n\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item_expertise\u0022\u003E\n    \u003Cdiv class=\u0022ct_title\u0022\u003E\n        \u003Cp class=\u0022bloc_title-small\u0022\u003E\n            ChatGPT Enterprise Deployment\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n        \u003Cdiv class=\u0022ct_description\u0022\u003E\n        \u003Cp class=\u0022desc_expertise\u0022\u003E\n            \tSia rolls out ChatGPT Enterprise at scale with OpenAI: use-case prioritization, secure configuration, persona-based training and adoption tracking, turning enterprise licences into measurable daily usage, as for 7,000 employees at a global apparel group.\n\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n    \n    \u003C\/div\u003E\n\n\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item_expertise\u0022\u003E\n    \u003Cdiv class=\u0022ct_title\u0022\u003E\n        \u003Cp class=\u0022bloc_title-small\u0022\u003E\n            Coding Agents\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n        \u003Cdiv class=\u0022ct_description\u0022\u003E\n        \u003Cp class=\u0022desc_expertise\u0022\u003E\n            \tSia\u0026#039;s Coding Agents program redesigns engineering workflows, platform strategy and governance to help teams achieve 70-90% productivity gains from AI coding agents.\n\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n    \n    \u003C\/div\u003E\n\n\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item_expertise\u0022\u003E\n    \u003Cdiv class=\u0022ct_title\u0022\u003E\n        \u003Cp class=\u0022bloc_title-small\u0022\u003E\n            Agentic Architecture Blueprint\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n        \u003Cdiv class=\u0022ct_description\u0022\u003E\n        \u003Cp class=\u0022desc_expertise\u0022\u003E\n            \tSia combines satellite imagery, geospatial data engineering and AI to detect assets, monitor environmental change and assess risk for enterprises.\n\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n    \n    \u003C\/div\u003E\n\n\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item_expertise\u0022\u003E\n    \u003Cdiv class=\u0022ct_title\u0022\u003E\n        \u003Cp class=\u0022bloc_title-small\u0022\u003E\n            Databricks Data \u0026amp; AI Platform Build\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n        \u003Cdiv class=\u0022ct_description\u0022\u003E\n        \u003Cp class=\u0022desc_expertise\u0022\u003E\n            \tSia builds and scales data and AI foundations on Databricks: lakehouse architecture, production ML and GenAI use cases, and governed agents on the client\u0026#039;s own data, from first use case to an industrialized platform.\n\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n    \n    \u003C\/div\u003E\n\n\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item_expertise\u0022\u003E\n    \u003Cdiv class=\u0022ct_title\u0022\u003E\n        \u003Cp class=\u0022bloc_title-small\u0022\u003E\n            Evaluation-Driven Development\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n        \u003Cdiv class=\u0022ct_description\u0022\u003E\n        \u003Cp class=\u0022desc_expertise\u0022\u003E\n            \tSia\u0026#039;s Evaluation-Driven Development builds golden datasets and evaluation pipelines to measure AI agent quality across OpenAI, AWS and Databricks stacks.\n\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n    \n    \u003C\/div\u003E\n\n\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item_expertise\u0022\u003E\n    \u003Cdiv class=\u0022ct_title\u0022\u003E\n        \u003Cp class=\u0022bloc_title-small\u0022\u003E\n            Agentic Control Tower\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n        \u003Cdiv class=\u0022ct_description\u0022\u003E\n        \u003Cp class=\u0022desc_expertise\u0022\u003E\n            \tSia\u0026#039;s Agent Control Tower gives one view of every model and agent in the enterprise, with owner, cost, permissions and risk, plus benchmarking and cost arbitration, so agent fleets stay governed, secure and economical as they scale.\n\n        \u003C\/p\u003E\n    \u003C\/div\u003E\n    \n    \u003C\/div\u003E\n\n\u003C\/li\u003E\n                        \u003C\/ul\u003E\n                    \u003C\/div\u003E\n                \u003C\/div\u003E\n            \u003C\/div\u003E","settings":null}]