Your AI bill is bigger than you think

THE DATA IS CLEAR

AI spend is scaling faster than you can track

0%

of companies report AI costs eroding margins.

0%

of companies can forecast AI costs within only ±10%.

0%

of companies find data platform usage is the #1 unexpected cost.

Leaders are flying blind on AI costs

Traditional FinOps tools weren’t build for GPU-heavy, multi-agent, hybrid AI environments. AI costs are reshaping budgets, minimizing forecasting accuracy, and eroding margins. Left unchecked, it becomes harder to differentiate between profitable innovation and expensive experiment.

AI is no longer a side project, it’s core infrastructure – it’s time to start managing it.

With Mavvrik, track spend in real time, allocate, and forecast impact based on actual usage.

Uncover the true cost of every model with Mavvrik

Break down GPU and LLM usage by model, team, or workload – across all clouds and environments. Stop relying on estimates. Start with facts.

Catch anomalies before they blow your budget

Get notified the moment spend spikes – whether it’s a stuck agent, a looping job, or a misconfigured script burning through GPUs.

Align engineering, product, and finance with cost-to-serve clarity

Expose the real costs behind every product, feature, or customer and build accountability with always-on visibility.

Recover revenue lost to underbilled GPU usage

Automatically track, allocate, and invoice shared GPU usage across internal teams or external tenants. No more leaks. No more spreadsheets.