Sunday Labs is an AI and data transformation partner for global enterprises, serving clients across India, the United States, Canada, Europe and the UK, the UAE, Saudi Arabia, Singapore, Australia and Indonesia. We design the strategy, build the data foundations and ship production AI alongside your team, in weeks rather than quarters. Most AI programmes stall somewhere between a promising pilot and the P&L. The model is rarely the problem. The data is scattered, the workflows around the system have not changed, and nobody owns the outcome. We fix all three, and we stay until the result shows up. We judge our work by what reaches production, not by what goes into a slide deck. What we do AI Strategy and Roadmaps. We interview people across the business to find decisions and workflows where AI saves time, money or risk. We rank use cases on value, feasibility and risk, check whether your data can support them and produce a sequenced roadmap for the next 12 to 18 months, with the first pilot scoped so it can start straight away. A focused discovery usually takes three to four weeks. GenAI and AI Agents. We build copilots, retrieval (RAG) systems, document AI and agents that read your documents, use your tools and hand off to people when they should. Every system is evaluated before launch and monitored in production. Data Platforms and Engineering. We build modern lakehouses, reliable ELT pipelines, data quality checks and governed semantic layers on Databricks, Snowflake or BigQuery: the foundations every model downstream depends on. Analytics and Decision Intelligence. Forecasting, scoring and decision support, deployed and monitored properly, so people use the insights rather than just look at them. MLOps and AI Engineering. CI/CD for models, observability and cost controls that keep AI reliable and affordable after launch day. Digital Transformation and AI Governance.
Sunday Labs is an AI and data transformation partner for global enterprises, serving clients across India, the United States, Canada, Europe and the UK, the UAE, Saudi Arabia, Singapore, Australia and Indonesia. We design the strategy, build the data foundations and ship production AI alongside your team, in weeks rather than quarters. Most AI programmes stall somewhere between a promising pilot and the P&L. The model is rarely the problem. The data is scattered, the workflows around the system have not changed, and nobody owns the outcome. We fix all three, and we stay until the result shows up. We judge our work by what reaches production, not by what goes into a slide deck. What we do AI Strategy and Roadmaps. We interview people across the business to find decisions and workflows where AI saves time, money or risk. We rank use cases on value, feasibility and risk, check whether your data can support them and produce a sequenced roadmap for the next 12 to 18 months, with the first pilot scoped so it can start straight away. A focused discovery usually takes three to four weeks. GenAI and AI Agents. We build copilots, retrieval (RAG) systems, document AI and agents that read your documents, use your tools and hand off to people when they should. Every system is evaluated before launch and monitored in production. Data Platforms and Engineering. We build modern lakehouses, reliable ELT pipelines, data quality checks and governed semantic layers on Databricks, Snowflake or BigQuery: the foundations every model downstream depends on. Analytics and Decision Intelligence. Forecasting, scoring and decision support, deployed and monitored properly, so people use the insights rather than just look at them. MLOps and AI Engineering. CI/CD for models, observability and cost controls that keep AI reliable and affordable after launch day. Digital Transformation and AI Governance.