endorsedCompleted

Machine Learning Classification System and Data Pipeline for AI Startup

Services Covered:

Custom Software Development

Industry

Artificial Intelligence and Machine Learning

9 months

Budget

50K - 199K

Start Date

1 September 2019

Team Size

1-5

Engagement Model

Offshore

Project Capability Score (PCS)

74/100

Good

Project Capability Score (PCS) estimates how capable STX Next is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Austin, United States of America

Project Summary

STX Next developed a machine learning classification system and data pipeline for an AI startup that automates technology scouting. The engagement scaled innovation records from about 5,000 to 200,000 and enabled a five-person data sanitation team. STX Next met deliverables, provided accurate time estimates, and positioned the business for scalability.

Key Challenges

Build product expertise in machine learning for text and classification
Figure out all the moving pieces while building up the startup team

Project Deliverables

Machine learning classification system
Data pipelines to import and process innovation data
Deployment of machine learning algorithms and models to production

Project Solution

STX Next executed the client's design by building a machine learning classification system, creating data pipelines to import and prepare data for classification, and deploying machine learning algorithms and models into production. The team (including a machine learning engineer, data engineer, and full‑stack developer) handled the end-to-end work from pipelines through production deployment and leveraged Python expertise to implement the solution.

Project Outcome

Scaled innovation data from about 5,000 to 200,000 records
Enabled onboarding of a five-person data sanitation team for data scrubbing and cleaning
Delivered on schedule with accurate time estimates and reliable project management

Platforms

Tech Stack

Python
Jira

Client Endorsement

Overall Review Rating

4.38

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The project positions the business for scalability; the system has increased the number of innovation records and the team can easily scrub the data. STX Next met all their deliverables and provided accurate time estimates.”
Anonymous
CEO
Date: 06/22/2020