Google Cloud Software / SaaS United States

Alta

IT Operations Automation · Real-time Analytics

Alta needed a transactable Google Cloud Marketplace path for its AI and technology spend management platform without pulling its product team off core forecasting work, while also helping finance and IT leaders understand fast-growing AI costs, usage, ownership, and ROI.

Launched on Google Cloud Marketplace in four weeks
Saved 125 engineering and 60 project management hours
Standard Marketplace launches can take eight weeks or more
saving customers up to 3x on tech and AI spend

Reported impact

Business outcome

Alta launched a fully transactable Google Cloud Marketplace listing in four weeks instead of the typical eight-plus, avoided pulling 125 engineering hours and 60 project management hours away from its roadmap, enabled buyers to use existing Google Cloud credits, and extended its Gemini-powered platform for cost savings, forecasting, and executive reporting.

  • Cost Reduction
  • Productivity Improvement
  • Speed to Market

Solution

Alta uses Google Cloud to package both its Gemini-powered spend intelligence product and a fully transactable marketplace buying flow. Alta's core platform brings SaaS, cloud, hardware, and AI investment data into one system of record so finance and IT leaders can track cost, usage, ownership, and ROI in one place. Gemini supplies the intelligence layer that learns how an organization operates and turns that context into cost-saving guidance, more accurate forecasts, and board-ready summaries. To sell the product through Google Cloud Marketplace, Premier Cloud built an automated checkout service on Cloud Run that processes orders in the background and calls Google Partner Procurement APIs as the transaction bridge. Cloud SQL stores customer order records, while Cloud Pub/Sub sends plan event notifications so buyers can complete purchases online with existing Google Cloud credits and start using the software quickly.

Data flow

Technology-spend, usage, ownership, and ROI data from customers' SaaS, cloud, hardware, and AI environments feeds Alta's platform, where Gemini generates forecasts, savings guidance, and board-ready summaries. When a buyer purchases through Google Cloud Marketplace, the checkout service running on Cloud Run calls Google Partner Procurement APIs, writes order records to Cloud SQL, and uses Cloud Pub/Sub to trigger plan-change notifications and onboarding actions.

Solution architecture

6 components · 5 layers
  1. Compute
    • Gemini Powers Alta's core intelligence capabilities for cost savings, more accurate forecasts, and executive-ready summaries.
    • Cloud Run Runs the automated checkout service that processes marketplace orders in the background without manual server management.
  2. Storage
    • Cloud SQL Stores customer order records for the marketplace transaction workflow.
  3. Serving
    • Google Cloud Marketplace Provides the transactable storefront where enterprise buyers review quotes, sign agreements, and purchase Alta with committed cloud spend.
  4. Orchestration
    • Cloud Pub/Sub Sends instant notifications when a customer buys, changes, or cancels a plan.
  5. Uncategorized
    • Google Partner Procurement APIs Connect the checkout flow to Google procurement systems so buyers can transact with pre-committed Google Cloud credits.

Architecture clues

  • Alta plugs directly into customer single sign-on systems and existing networks with no engineering lift.
  • Cloud Run processes orders automatically in the background without manual server work.
  • Gemini underpins Alta's forecasting and executive summary features.
  • Google Partner Procurement APIs let buyers transact against pre-committed Google Cloud credits.
  • The marketplace checkout flow was funded by Google Cloud and implemented by Premier Cloud.

Evidence from the source

Alta brings SaaS, cloud, hardware, and AI investments into one platform, helping organizations understand costs, usage, ownership, and ROI.
Built with Gemini for its core intelligence capabilities, Alta's AI learns how an organization operates and turns that into cost savings, more accurate forecasts, and executive-ready summaries for the board.
Cloud SQL safely stores customer order records, while Cloud Pub/Sub sends instant alerts whenever a customer buys, changes, or cancels a plan.
Premier Cloud brought Alta live in four weeks, saving 125 developer hours and 60 project management hours.
Premier Cloud built an automated digital checkout counter. It set up the system on Cloud Run, which processes orders automatically in the background without needing manual server work.
The system connects directly to Google Partner Procurement APIs, serving as a transaction bridge that enables enterprise buyers to purchase Alta's SaaS platform using their pre-committed Google Cloud credits.
Transparency Evidence & methodology 100/100 reference value · 85% confidence · 2 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence85%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency10/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Google Cloud

    Alta case study | Google Cloud

    First-party
    https://cloud.google.com/customers/alta
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Industry
    • Region
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
  2. LinkedIn

    ALTA AI | LinkedIn

    Third-party
    https://www.linkedin.com/company/alta-platform/

    The Organization JSON-LD includes numberOfEmployees value 9.

    Source type
    Structured company profile
    Supports
    • Company size

Date evidence

  • First archived Oct 16, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source