Data Science
As advocates for the voice of data insights, our data scientists will help your team execute an artificial intelligence (AI) strategy. From natural language processing to recommendation engines, we have experience implementing machine learning (ML) models across businesses of all shapes and sizes. We’ll stay closely aligned with the Balanced Team to productize your model, garner actionable insights, and drive your business forward.
“Machine learning is so powerful for learning more about life and ourselves. And there is still so much more territory to discover. What incredible and exciting times we live in.”
Ryan TrunCk, CTO - CRAFTEDML/AI Readiness
If you’re not getting any business value from your data, we’ll help you figure out which insights you want to garner, if you’re already collecting the right/enough data, what ML model might be right for you, and what type of tooling you’ll need to support it.
Deep Learning
We train custom deep neural networks to classify and predict user outcomes across a multitude of fields, from genomics to images to natural language. We’ve also fine-tuned existing powerful models for specific outcomes and successes.
Natural Language Processing
We can train NLP models based on spaCy to perform named-entity recognition. This identifies specific relationships between unstructured text to help you extract key information and analyze emerging trends.
Recommendation Engines
We use collaborative filtering and content-based methods to determine how a user’s past behavior will inform the most relevant items they’ll want to see in the future. This can also be applied to groups of users to provide cohort-wide recommendations.
Learn more about our ML/AI expertise!
Case Study
HumanCode: How Crafted’s CTO Ryan Trunck Built a ML Model to Launch One of the Leading Personal Genomics Apps
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Blog Post
A Comprehensive Guide to Reinforcement Learning Methods: Exploring the K-Armed Bandit Problem
GO DEEPER →Ready to see how Crafted can help your organization?
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Crafted is excited to offer the following engagement types:
ML/AI Readiness - We’ll help you figure out what business insights to gather, if you’re already collecting the necessary data, and what AI/ML model might be right for you.
ML/AI Implementation - Our team of data scientists will train a model, iterate on insights, productize the model, and evolve and maintain it.
ML/AI + Balanced Team - Successfully implementing an ML/AI strategy is a team effort. Our data scientists will collaborate with product designers, product managers, and engineers to bring your model to market and drive business value.