Use proven machine learning and data science techniques to forecast what is coming, uncover patterns, optimize decisions, and automate work at scale.
Put Your Data to WorkPut your data to work on the problems that matter.
Predict what happens next
Forecast demand, customer behavior, risk, performance, and other business outcomes.
Make better decisions
Use data to recommend actions, optimize tradeoffs, and improve how resources are allocated.
Find what humans cannot see at scale
Detect patterns, anomalies, relationships, and signals across large and complex datasets.
Proven techniques still solve some of the hardest AI problems.
Generative AI has expanded what is possible, but many business problems are best solved with predictive and statistical models built specifically for the task.
We help you determine the right approach, build the model, and put it into production where it can improve real decisions and workflows.
What we help you solve.
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01
Forecasting & Predictive Modeling
Predict demand, revenue, behavior, risk, churn, failure, and other future outcomes.
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02
Recommendations & Personalization
Match customers, products, content, or actions based on behavior and context.
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03
Optimization & Decision Science
Identify the best course of action across complex constraints, tradeoffs, and scenarios.
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04
Anomaly & Risk Detection
Surface unusual behavior, potential fraud, operational issues, or emerging risks earlier.
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05
Classification & Scoring
Turn complex data into consistent predictions, rankings, scores, and decisions.
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06
Computer Vision
Extract insight from images and video to automate inspection, detection, classification, and analysis.
From business problem to production model.
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01
Frame
Define the decision, prediction, or outcome the model needs to improve.
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02
Prepare
Bring together the right data and establish a reliable foundation for modeling.
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03
Model
Develop, test, and validate the approach that best fits the problem.
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04
Operationalize
Integrate the model into real systems and workflows, then monitor and improve performance over time.
When data science and machine learning create the most value.
- You have historical data that can help predict future outcomes
- Important decisions still depend heavily on manual analysis or intuition
- You need to optimize complex operational or financial tradeoffs
- Large volumes of data make patterns difficult to identify manually
- Existing models need to be modernized, improved, or moved into production
- A specialized predictive model is better suited to the problem than a general-purpose AI model
Built around your data and your business.
The best model is the one that solves the problem reliably in your environment.
Our data scientists and machine learning engineers work with your data, infrastructure, and domain experts to build solutions that balance accuracy, speed, explainability, scalability, and cost.
Whether that means a traditional statistical model, machine learning, deep learning, computer vision, or a combination of approaches, we choose the technique based on the outcome you need.
- Statistical models
- Machine learning
- Deep learning
- Computer vision
Better underwriting decisions with machine learning.
Grandview Homes wanted to evaluate more real estate opportunities without scaling underwriting costs at the same rate.
HatchWorks built three machine learning models using Grandview's historical and market data, then embedded the predictions directly into its Salesforce underwriting workflow.
The system also includes automated ingestion, monthly retraining, evaluation, and drift monitoring so it can continue learning as new transaction and market data becomes available.
Read the Grandview Homes Case Study
- 31%
- Lower ARV prediction error
- 69%
- Lower Time to Sell prediction error
- 3
- Machine learning models running in production
We apply the full AI toolkit.
From predictive machine learning and computer vision to generative and agentic AI, we choose the approach based on the problem, not the trend.
Our data scientists, machine learning engineers, AI engineers, and domain experts work together to turn data into production systems that create measurable business value.
- Predictive ML
- Computer vision
- Generative AI
- Agentic AI
Connected to the rest of your AI strategy.
Data Modernization
Build the foundation your models depend on.
Prepare, connect, and modernize the data needed to train and run reliable machine learning systems.
Explore Data ModernizationIntelligence Layer
Make predictive intelligence available across the business.
Connect models to the data, systems, and workflows where people and AI can use them.
Explore Intelligence LayerPut your data to work.
Turn your hardest prediction, optimization, or decision problem into a production AI solution.
Talk to our AI Team