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D

Digitalex

Inactive

Digitalex offers Mavvrik, a unified platform that aggregates cost data from AI models, GPU workloads, SaaS services, and multi‑cloud environments into a single view. It provides automated chargeback, real‑time analytics, and AI‑driven forecasting to help finance, IT, and FinOps teams calculate true unit economics, prevent cost spikes, and protect margins across departments, projects, and customers.

Austin, United StatesFounded 2022301K+ followers
Updated 2 months ago

Funding

$9.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

CV
Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations using AI models, GPU workloads, and multi‑cloud environments struggle to understand and control their infrastructure spending, leading to unexpected cost spikes and unclear unit economics.

Solution

Mavvrik offers a unified platform that aggregates cost data from large language models, GPU instances, SaaS services, and both private and public clouds. The system provides automated chargeback, detailed allocation across departments, projects, and customers, and real‑time analytics to reveal the true cost of each product, feature, and customer. By delivering clear, AI‑aware financial insights, Mavvrik enables finance, IT, and FinOps teams to forecast spend, protect margins, and make pricing decisions based on accurate data rather than spreadsheet estimates.

Target Audience

Primary users are finance, IT, and FinOps teams at enterprises that run AI workloads and maintain hybrid cloud infrastructures.

Features

  • Centralized collection of cost metrics from LLMs, GPU workloads, SaaS tools, and multi‑cloud resources
  • Automated allocation and chargeback engine with transparent attribution to departments, projects, and customers
  • Real‑time dashboards that calculate true unit economics for products, features, and individual customers
  • AI‑driven forecasting and margin analysis to identify spend anomalies before they impact budgets
  • Integration layer that consolidates data from legacy FinOps tools and cloud‑native billing APIs
This profile is AI-generated and may contain inaccuracies.