ML Monitoring Build vs. Buy Calculator

A comprehensive ML monitoring and performance solution is a critical component of successful enterprise production AI. Many MLOps teams consider building in-house monitoring software, which can be costly in terms of time, resources, and financial investment.

In fact, it takes companies an average of 1-2 years or more to build, test, and launch a basic in-house ML monitoring solution. Costs can be significant for cloud computing infrastructure, but enterprise teams also often underestimate the cost and time implications for in-house and contractor labor resources. In many cases, in-house teams run up against cost and time overruns that delay the identification of critical model performance issues and detract from ML innovation.

We've created a user-friendly calculator for you to estimate the potential cost of building an in-house solution vs deploying Arthur, the leading ML monitoring and optimization software solution that delivers insights into model performance across accuracy, data drift, explainability, and fairness.

CLIENT BUILD IN-HOUSE DISCOVERY

DEVELOPMENT BUILD TIMEFRAME

Please select one:

RESOURCE ALLOCATION

Please fill out any fields that are relevant to your potential in-house build project staffing.

full-time employees
amount
Annual Salary
contractors
amount
Annual cost

Project Manager

DevOps

Data Engineer

Data Scientist

Backend Developer

Frontend Developer

UX/UI Product Designer

QA Engineer

CLOUD COMPUTING & INFRASTRUCTURE

Enterprises have many choices when it comes to selecting cloud computing vendors to help support MLOps scalability including Amazon AWS, Google GCP or Microsoft Azure.

Below enter the estimated annual cost you expect to incur based on the number of servers, GPU and backoffice infrastructure required.

ARTHUR ON PREMISES PRICING TOOL

number of models

Select the number of models your prospect has.

Total number of models
Price Per model per year
Total Price per year*
10
$10,000
$180,000
25
$7,800
$275,000
75
$6,250
$548,750
100
$5,700
$650,000
250
$4,400
$1,180,000
500
$3,200
$1,680,000
1000
$2,600
$2,680,000

enterprise license contract

Specify the enterprise license contract length.

Compare build vs. buy monitoring and performance platform costs

$

0

YOUR COST

vs.

$

0

Arthur Platform

=

$

0

your savings

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Additional Benefits of Arthur

Accelerate your MLOps GTM launch with a SaaS installation or select Arthur’s on-premise solution which provides the capability to deploy the platform in your data center or virtual private cloud.

Measure model performance with custom and out-of-the-box metrics for tabular, NLP, and CV models.

Keep sensitive data confidential by ensuring proper access control protocols that ensure only users with proper permissions can view the data.

Achieve greater team efficiency. The solution is fully-managed and supported by our engineers 24/7

Ingest models faster with a highly scalable microservices architecture that can ingest up to 1MM transactions per second

Innovate more quickly.  Free your in-house team to work on more strategic and visionary projects.

Take Your ML Team Farther, Faster