What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
Some links on this page are affiliate links: if you buy through them we may earn a commission, at no extra cost to you.
Former Tableau executives Damon Fletcher and Michael Arvold launched Seattle-based Millworks Analytics in September 2023, introducing Caliper, a platform designed to help finance and engineering teams analyze cloud spending. The company initially focused on Amazon Web Services (AWS). Its current website advertises integrations with AWS, Google Cloud Platform, Datadog, and Snowflake, and says Caliper was acquired by BlueArch on February 10, 2026.
Who founded Millworks Analytics?
Damon Fletcher became Millworks’ CEO and co-founder after serving as Tableau’s CFO and later as CFO of DataRobot. According to GeekWire, Fletcher came out of retirement to address what he viewed as a growing gap between corporate finance and technology operations: companies could see large cloud bills, but often struggled to explain what was driving them.
Michael Arvold joined as co-founder and CTO. He previously worked as a senior director in Tableau’s office of the CTO and had earlier software-engineering experience at Microsoft and Donnelley Financial Solutions.
PC Slower Than It Used to Be?
A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Outdated Drivers Are Slowing You Down
One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchThe company’s current About page also identifies Farhan Mustafa and other personnel with backgrounds in analytics, product, sales, Tableau, AWS, and Microsoft. That broader group should not automatically be treated as the original September 2023 launch team.
#1 Best Overall
What did Millworks launch?
Millworks emerged from stealth on September 26, 2023, with Caliper, a cloud-cost analytics platform. Its stated purpose was to turn raw billing and usage information into clearer answers for finance, engineering, and operations teams.
Those questions include:
- Which teams, applications, services, or environments are driving spending?
- Why did cloud costs change from one period to the next?
- Where are unused or inefficient resources creating avoidable expense?
- How should finance and engineering share responsibility for cloud budgets?
- Did an optimization decision actually improve costs or unit economics?
The original launch supported AWS. Planned integrations included Microsoft Azure, Google Cloud Platform, Snowflake, and Datadog, although planned features should not be confused with capabilities that were available on launch day.
Why cloud-cost management became more urgent
Cloud spending was already a significant operating cost for many technology companies. Higher interest rates and tighter financing conditions added pressure to reduce expenses, while AI workloads created new sources of consumption.
The Tool Desk
Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →AI can increase costs through model training and inference, GPU usage, data processing, storage, networking, experimentation, and monitoring. The effect varies widely by architecture, traffic, model, hardware, batching, caching, and data-transfer patterns.
Rank #2
Fletcher gave GeekWire an anecdotal example of one company whose cloud costs rose from roughly $5,000 to $50,000 after putting AI models into production. That is a founder-provided example, not evidence that AI universally produces a tenfold increase in cloud bills.
GeekWire also cited Gartner estimates from 2023 that worldwide cloud spending would grow more than 21% that year to $597 billion and reach $724 billion in 2024. Those figures were forecasts reported at the time, not current 2026 market totals.
How Caliper was intended to work
Caliper’s product materials describe an analytics and collaboration layer built around cloud billing and usage data. The company says the platform can provide:
Quick wins for a faster PC:
Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →- Automated tagging and categorization of budget items.
- Custom grouping and aliasing of tags.
- Interactive filtering and multidimensional queries.
- Heat maps and anomaly detection.
- Variance analysis and forecasting.
- Workflows for cost control and accountability.
- Tracking of the impact and return on investment of optimization actions.
- Shared visibility for finance and engineering teams.
At launch, the company also discussed gamification features such as leaderboards, accountability trails, and action-impact scores, along with planned generative-AI features. The launch reporting did not independently validate the accuracy of these features or confirm that every planned capability shipped.
Rank #3
The company’s current product page uses near-real-time and immediate-visibility language. Prospective buyers should confirm the actual refresh cadence, historical backfill process, and the delay between provider billing data and Caliper dashboards.
FinOps: more than a cloud-spend dashboard
Caliper sits within the broader FinOps category, which connects finance, engineering, product, and operations around technology spending. A useful evaluation separates several different jobs:
| FinOps function | What it means |
|---|---|
| Visibility | Understanding what was spent and where. |
| Allocation | Assigning costs to teams, products, applications, customers, or environments. |
| Optimization | Finding waste, inefficient configurations, idle resources, or better purchasing options. |
| Governance | Setting budgets, alerts, policies, and accountability processes. |
| Forecasting | Estimating future spending under changing workloads and prices. |
| Unit economics | Connecting cloud costs to customers, transactions, workloads, revenue, or another business measure. |
Caliper appears most clearly positioned around visibility and analytics, with forecasting, optimization workflows, and ROI tracking marketed on top of that data. Better visibility can help a company find savings, but it does not automatically reduce a bill. Actual savings may require rightsizing, scheduling workloads, changing storage policies, purchasing commitments, redesigning architecture, or making product decisions.
What changed after the 2023 launch?
| Area | September 2023 launch | Current official positioning |
|---|---|---|
| Company status | Millworks Analytics emerged from stealth in Seattle. | The current site presents Caliper under BlueArch after reporting an acquisition on February 10, 2026. |
| Cloud and data sources | AWS was supported initially; Azure, Google Cloud, Snowflake, and Datadog were planned. | AWS, Google Cloud Platform, Datadog, and Snowflake are advertised. |
| Pricing | No launch pricing was reported. | A two-week trial and a $75-per-user-per-month plan billed annually are advertised; enterprise pricing is by quotation. |
| Team | Five employees; the company was bootstrapped. | Current headcount and funding are not established by the supplied sources. |
| AI capabilities | Generative-AI features were described as planned. | The currently shipped status of those specific launch plans is not fully verified. |
The acquisition is reported on Caliper’s official homepage. That means a current description should not portray Millworks as unchanged, independent, or still limited to the five-person AWS-only startup described in the 2023 launch coverage.
Current integrations, pricing, and onboarding
Caliper’s current product page advertises:
- AWS.
- Google Cloud Platform.
- Datadog cost and usage data.
- Snowflake.
- A two-week free trial.
- A $75-per-user-per-month plan billed annually.
- Custom enterprise pricing.
Its FAQ says AWS onboarding reads cloud cost and usage reports from an S3 bucket, while Snowflake onboarding uses read-only access to cost and usage information. The company says setup can take 15 minutes. That estimate may not include IAM review, export configuration, security approval, historical data loading, or dashboard customization.
The product page’s enterprise section reportedly lists multi-cloud, alerting, smart categorization, and predictive capabilities as enterprise items or coming soon. Multiple integrations therefore do not necessarily mean that every customer receives a unified, fully normalized multi-cloud governance system. Buyers should confirm what is included in their plan.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How Caliper compares with alternatives
AWS-native tools
AWS offers a baseline set of native tools, including Cost Explorer, Budgets, Cost and Usage Reports, Pricing Calculator, Cost Optimization Hub, Savings Plans, and Reserved Instance analysis. The relevant AWS documentation is the starting point for AWS-only organizations that prefer first-party data and internal reporting.
Native tools may be sufficient for a company willing to build its own allocation dashboards and finance-engineering workflows. A third-party layer may be more attractive when teams need custom business views or data from multiple providers, but the trade-off is another vendor, another access model, and another cost.
Best Value
AWS says workload estimates in its Pricing Calculator are free. Its pricing documentation says bill estimates include five free estimates per month and then cost $2 per estimate. That pricing applies to the calculator, not to AWS’s entire cost-management portfolio.
Other market examples
The 2023 launch coverage identified CloudHealth, Cloudability, MontyCloud, Reserved.AI, CoreStack, and CloudZero as competitors or market examples. Their ownership, packaging, pricing, and product scope may have changed, so they should not be treated as a current apples-to-apples comparison without updated verification.
What prospective buyers should check
- Data coverage: Confirm whether the platform ingests billing exports, usage records, invoices, discounts, commitments, and data from systems such as Kubernetes or internal business applications.
- Allocation quality: Ask whether costs can be mapped to products, teams, customers, and environments, and whether allocation rules are explainable, auditable, and historically consistent.
- Optimization depth: Determine whether the product only flags anomalies or also covers rightsizing, idle resources, storage, data transfer, scheduling, Reserved Instances, and Savings Plans.
- Action tracking: Ask how teams record an optimization decision and measure whether it produced real savings.
- AI unit economics: Verify whether inference, GPU, storage, network, and observability costs can be connected to products or customers rather than merely reported as provider charges.
- Security: Review exact AWS IAM permissions, Snowflake roles, data retention, encryption, access controls, audit logs, and whether application data is required.
- Commercial terms: Confirm whether the $75 price applies to all integrations and features, whether annual billing is required, and which enterprise capabilities cost extra.
- Operational maturity: Ask about support capacity, roadmap continuity, security-review resources, and post-acquisition ownership and service arrangements.
The limitations to keep in mind
Cloud visibility is only as good as the data underneath it. Inconsistent tags, shared infrastructure, and cross-team services can make allocation approximate even when the dashboard is sophisticated. Automated categorization may help, but buyers should test whether its rules are transparent and maintainable.
AI spending is especially difficult to allocate. A shared model-serving system may support several products or customers, while GPU, data-transfer, storage, and monitoring charges appear in different billing categories. Meaningful customer-level economics may require application telemetry in addition to cloud invoices.
Forecasts are also assumptions, not guarantees. Seasonality, workload growth, pricing changes, commitment purchases, outages, and new AI usage can quickly change the result. Finally, the supplied launch coverage did not independently establish Caliper’s attribution accuracy, measured customer savings, retention, security controls, or the delivery of planned AI features.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
