Custom Artificial Intelligence.
Have a source of big data with untapped value? CodeStringers data science services can help ideate use cases to extract greater value and then develop custom AI solutions to deliver that value.
A business with a source of data it has never exploited has use cases waiting to be found. We find them, model the data, bring in the extra data that makes a model better, and build the machine learning and deep learning that automates what people used to do slower and less consistently.
Have a source of big data with untapped value? CodeStringers data science services can help ideate use cases to extract greater value and then develop custom AI solutions to deliver that value.
Machine learning allows computer systems to independently learn and improve from experience. The more data the system analyzes, the more accurate the results and predictions.
The term “Deep learning” refers to a method of teaching computers to analyze data as a human being would if capable of processing “big data”. It is used to recognize patterns, whether analyzing text, images, video, or audio.
Many AI and ML solutions can be improved by sourcing additional data. A self-driving car might adjust braking in rain or snow, for example. A promotion/email marketing system might delay email messages to consumers in areas with a surge in Covid cases.
Data modeling is the process of creating a visualization of data objects and their relationships and then building a data structure from that visualization. As an example, a data model for facial recognition would have entities for facial features (noses, ears, eyes, mouths) and their relationship on a person’s face relative to one another (eyes side-by-side above the nose, etc.).
Data analysis, machine learning, automation and web backends on Django and Flask.
Training, serving and scaling machine learning models, on servers, in the cloud and on devices.
Deep learning research, prototyping and custom models, integrated and deployed into products.
Predictive models, segmentation and feature engineering on Python's standard machine learning library.
Real-time data pipelines, cluster setup and operation, stream processing and system integration.
The capability these pages belong to: how we build custom software, and when we do not.
Other services in integrate. Backend and API developmentDatabase design and development All software services
We write your systems’ configuration as code and let AI apply it: fields, picklists, layouts, workflow rules, integrations, read back and verified after every step, so a build that took weeks of clicking takes days.
Because the work is programmatic, we quote the outcome, not the hours. The estimate is guaranteed and discovery is no-risk.
Our own CRM rebuild in October 2026: 21 shared picklists, 3 modules, 88 fields, 7 layouts, 23 workflow rules and 16 actions, built through code in 22 verified runs, every step read back.
The same tools that configure your systems today are what run our agentic solutions tomorrow: one surface over the systems you already own. See the agentic solutions
"Something isn't working." "We're outgrowing our tools." "We're afraid to make the wrong move." No-Risk Discovery is a short, practical conversation that gets you clarity before you commit to anything big. We'll tell you if we're a fit. If we're not, we'll tell you that too.