AI & Machine Learning Implementation
Starting at
$
10,000
About this service
Summary
Deliverables
FAQ
FAQs
What do I get with the fixed-tier packages?
Each fixed-tier package (Starter at $10,000, Pro at $18,000, or custom Enterprise) includes a custom machine learning model built and deployed on Hex’s computational infrastructure, tailored to your business needs. You’ll also receive a Data Integration and Preprocessing Report (detailing how your data was prepared) and a Model Performance and Maintenance Guide (to help you use and maintain the model). The Pro tier adds support for complex data and extra revisions, while Enterprise offers bespoke solutions—contact us for details!
How does the process work, and how long does it take?
The process starts with a discovery call to define your goals and assess your data. Next, I preprocess your data, design and train a custom ML model, deploy it into your workflow, and provide documentation and a walkthrough. Depending on data complexity and your use case, it typically takes 2-4 weeks from start to deployment. You’ll have opportunities for feedback and up to 2 revisions (more with Pro) to ensure the model meets your needs.
Why would I need the optional monthly support?
The optional $1,500/month support keeps your model performing at its best as your data or business evolves. It includes monitoring, performance optimization, quarterly retraining with new data, and priority troubleshooting. While the fixed-tier model works out of the box, monthly support ensures long-term accuracy and value—perfect if your data changes frequently (e.g., sales trends, customer behavior).
Do I need data scientists or technical expertise on my team?
No! My service is designed to deliver predictive power without requiring you to hire specialized data scientists or ML engineers. I handle everything—data prep, model building, deployment, and documentation—using Hex’s infrastructure. The deliverables include clear guides and a walkthrough, so your team can use the model with minimal technical know-how.
What kind of results can I expect from the model?
Results depend on your use case and data, but the goal is to unlock actionable predictions—like forecasting sales, reducing churn, or optimizing operations. For example, a retail client might predict demand to cut inventory costs, while a SaaS company could identify at-risk customers. During discovery, we’ll align the model with your goals, and the Performance Guide will show metrics (e.g., accuracy) to quantify its impact. With monthly support, those results stay sharp over time.
What's included
Custom Machine Learning Model
A fully developed, custom-built machine learning model designed to address your specific business needs. This model will be trained on your data assets to provide predictive capabilities, such as forecasting trends, optimizing operations, or identifying patterns, depending on your goals. The model will be deployed using Hex's computational infrastructure for seamless integration into your workflow. Format: Deployed model accessible via API or integrated into your existing systems (e.g., cloud-based dashboard or software pipeline), accompanied by a technical documentation file (PDF). Quantity: 1 model tailored to your primary use case. Revisions: Up to 2 rounds of revisions to fine-tune model performance based on initial testing and feedback. Additional Details: Includes a setup guide and basic performance metrics (e.g., accuracy, precision, recall) to ensure transparency and usability.
Data Integration and Preprocessing Report
A comprehensive report detailing how your data assets were prepared and integrated into the machine learning model. This includes data cleaning, feature engineering, and any transformations applied to maximize predictive value. The report ensures you understand how your data drives the model’s outcomes. Format: PDF document (10-20 pages, depending on data complexity). Quantity: 1 report. Revisions: 1 round of revisions to address any clarifications or additional insights you request. Additional Details: Includes visualizations (e.g., charts or graphs) of key data features and a summary of data quality improvements.
Model Performance and Maintenance Guide
A user-friendly guide outlining the model’s performance, how to interpret its predictions, and steps for ongoing maintenance. This deliverable empowers your team to use the model effectively without requiring in-house ML expertise. It also includes recommendations for retraining the model as your data evolves. Format: PDF document (5-10 pages) and a 1-hour virtual walkthrough session (recorded for future reference). Quantity: 1 guide + 1 session. Revisions: 1 round of revisions to the guide based on your feedback after the walkthrough. Additional Details: The guide will specify Hex infrastructure dependencies, expected model lifespan, and contact details for troubleshooting support.
Example projects
Duration
28 days
