Start with the valuable problem
Define the operational or growth outcome before selecting the platform, model, or tool.
Founder
Business purpose. Technical depth. Practical delivery.
Streamline was founded to help organisations move beyond data and AI ideas and implement solutions that support faster growth, more efficient operations, and better decisions.
Why Streamline exists
Connecting what the business needs with what technology can deliver.
Kanika Sandal is the founder of Streamline AI & Data. She leads the company’s focus on helping organisations implement data engineering and AI solutions that create measurable improvements in growth, efficiency, service, and decision-making.
Her approach brings business and technical teams into the same conversation. The outcome, users, data, architecture, delivery risks, and measures of success are considered together—so the solution is valuable to leadership and credible to the people who will build and operate it.
Streamline works alongside client teams from opportunity assessment and solution design through engineering, production launch, and knowledge transfer. The goal is useful technology that fits the organisation and remains understandable, maintainable, and owned by the client.
More about Streamline
Founder-led approach
Three ideas behind every engagement.
Strong implementation requires commercial clarity, sound engineering, and people who can confidently adopt and own the result.
Engineer for the real environment
Design around existing systems, data quality, security, team capability, budget, and production needs.
Leave capability behind
Build in the open, document decisions, transfer knowledge, and keep long-term ownership with the client.