We started on the energy desk. We never left the data.
Big Analytixs is a data & AI consultancy helping energy companies turn trading, supply, and grid data into competitive advantage — through AI, machine learning, business intelligence, data engineering, and cloud modernization.
We grew up inside energy markets — building the analytics that trading, supply, and grid teams relied on to make real decisions under real pressure. That heritage is still the core of how we work: we understand ISO markets, real-time risk, and regulatory scrutiny because we have lived in them.
As the tools changed — cloud platforms, modern data engineering, machine learning, and now generative AI — we changed with them. Today we bring that same market fluency to a broader set of data and AI problems, but the principle has not moved: solve the specific problem, then leave the team able to run it themselves.
A model built to hand back control, not keep you dependent.
Assess
We start by understanding the current state — the data, the systems, and the real problem underneath the stated one.
Roadmap
We prioritize the work that will actually move the business, sequence it, and build the case for funding it.
Build
We deliver the pipelines, models, and reporting — working alongside your team, not in a silo.
Run
We hand over a solution your team can operate and evolve, with the enablement to keep it running after we leave.
The people you would actually be working with.
Big Analytixs is led by Rathin Raval. Additional leadership profiles will be added as the team grows.
Rathin Raval
Founder & PrincipalRathin has spent over two decades building data, risk, and analytics solutions for energy — a subject-matter expert across utilities, generation, and commodities trading. As a solution architect and strategy lead he has delivered enterprise risk data warehouses (market and credit risk, VaR and Monte Carlo), trade surveillance and compliance analytics, load and price forecasting, revenue assurance, and gross-margin and cash-flow analytics for major utilities, ISOs, generators, and commodity trading firms. He holds a Master’s in Information Systems from the University of Technology, Sydney, and a Bachelor’s in Computer Engineering from Sardar Patel University.
Built on the platforms energy data actually runs on.
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