Delta Bravo AI
Delta Bravo AI automates the hardest parts of data science, reducing the time and cost to deploy Machine Learning and AI capabilities.
Delta Bravo AI simplifies your process from the start, curating a series of algorithms proven to work.
INGEST DATA FROM ANY SOURCE.
The Delta Bravo process starts with Automated Data Ingestion, Cleansing and Joining. Our custom data collectors bring data in via multiple sources- from machines to sensors to vibration and audio to spreadsheets. It’s as easy as a one-click upload or API connection.
The Delta Bravo platform automatically groups them into datasets and starts the process of removing bad data and connecting the dots for analysis and correlation.
CLEANSE AND JOIN DATA QUICKLY.
Use our acyclic graph functionality to quickly create workflows for Data Cleansing and Joining, executed automatically on incoming data sources.
This approach is far more flexible and faster than linear editors like Jupyter Notebooks and others.
ANALYZE DATA QUALITY, FILL ANY GAPS.
Once the dataset is cleansed and grouped, the Delta Bravo Platform analyzes for Quality, Quantity and Relevance, delivering total visibility into how your data aligns to solving the business problem with Machine Learning and AI.
If there are gaps, our analysis identifies them and makes suggestions for remediation- which our team of top-notch data scientists, database experts and developers are ready to help you implement.
- Deep Insight that’s Easy to Understand
Delta Bravo AI visualizes influential data relationships, revealing what data (and what relationships within the data) matter most.
- Automated Analysis Ensures Accurate Outcomes
Automated feature engineering and analysis identifies inconsistencies that could impact the accuracy of your Machine Learning process and provides the fixes- all in one click.
SELECT, TEST AND DEPLOY MODELS FASTER.
Once the data is cleansed and grouped, the Delta Bravo platform tests, trains and deploys Machine Learning models for use by the business. Multiple models are trained, tested and scored simultaneously, ensuring the best choice is made. Through our Kubernetes backend, models are deployed to a functional interface (screen or API) with one simple click.
- Feature Engineering, Model Analysis
Models are trained on your data, leveraging automated test/train splits, data set balancing and hyper-parameter variations.
- Model Selection
Models are scored on accuracy, precision and cost metrics specific to your use case, leveraging cross validation, classification, regression and clustering metrics.
- One-Click Deployment
With a single click, deploy your Machine Learning model to an API or customized interface.
UNPARALLELED TECHNICAL FLEXIBILITY, PERFORMANCE AND SECURITY.
Leveraging Kubernetes to containerize workloads and other compute-intensive data science functions makes better use of system resources, making Delta Bravo the best choice for speed and scale.
- Deploy on Any Infrastructure Platform
Our customers deploy on Amazon Web Services, Microsoft Azure, Cisco Hyperflex, Diamanti and several others. There is no technology lock-in at the infrastructure level, meaning that your Delta Bravo Advanced Analytics platform can be moved from the cloud to on-premise or vice versa quickly and easily
- Optimize Resource Utilization for Better Performance and Lower Costs
Delta Bravo AI leverages Kubernetes to containerize workloads, models and more to optimize system resources use, saving money and improving performance.
- Keep Intellectual Property Protected
Delta Bravo AI keeps and backs up Data Science artifacts so our enterprise customers never lose their IP, even if their Data Scientists leave.