Manage the Entire ML / DL Product Life-Cycle with a Single Integrated Solution
Accelerate time to market with a platform tailored for you
Enterprise Offering Highlights
Unstructured Data Management
Achieve unprecedented levels of control and transparency over your data
Know your data
Allegro AI provides you with comprehensive probing tools, enabling you to explore your datasets in ever finer detail, allowing you to zero-in on points of interest.
Better results with less data
Mix and match data sets with detailed control. Create synthetic data optimized for your use cases leveraging in-flight augmentations with flexible optimizations.
Ingest any data from anywhere
Leverage and fuse a multitude of data sources from different sensors - from images and videos to LiDAR, audio, IoT sensors, and FLIR. Integrate your structured data sources with your sensor-based data for more comprehensive AI modeling.
Continuously improving
Facilitate an integrated data feedback loop to re-train models and machines based on real-world data.
Version control & comparison
Allegro AI’s multi-faceted version control provides you the ability to manage dataset versions as well as couple dataset versions to specific models and source code. Branch, merge, and compare past experiments in real-time.
Resource Management & ML-Ops
Your ML-Ops control console
Cut cluster maintenance resources
Automate re-use of resources in the cloud or on-prem with a simple API to manage your cluster. Easily integrate Allegro AI with leading cluster and orchestration tools: Kubernetes, Slurm, AirFlow, KubeFlow.
Stop container overflow
Automagical reuse of base containers, so you don’t have to manage hundreds of dockers per project.
Save money on your cloud and on-prem expenses
Automatically spin VMs up and down based on your project’s needs. Build flexible automation logic with monitoring built in, support per resource spin strategy, and re-arrange schedules and budgets.
Scale your hyperparameter optimization efforts
Create elastic clusters to test a variety of hyper-parameter combinations on any cloud or on premises instances. Single point of contact for complex hyperparameter optimization strategies and pipelines, agnostic to machine & data location.
Data Engineering Services
Focus on your model, we’ll do the rest
Outsource your data pipeline engineering challenges – Our data engineering team will analyze your workflows and datasets and then build automation and scheduling with full tracking and visibility.
We will:
- Build your data ingestion pipeline for optimal data flows
- Integrate with your data sources and existing data lake
- Introduce feedback loops from production systems into your data curation strategy
- Integrate with production systems
- Boost your data scientists' collaboration and efficiency with fully automated artifact bookkeeping in shared storage
- Hand over pipelines with full transparency
Enabled Feedback-Loop Technologies
Continuous Learning – CI/CD for AI
Continuous learning
Build and scale models to devices continuously. Feed real-world data into models to continuously refine datasets and retrain detectors.
Federated learning
Enable your devices to share knowledge without sharing data.
Distributed learning
Run one code on different machines on prem or in the cloud. We’ve made sure the data is accessible no matter the environment or machine.
Active learning
Profound transparency of what raw data is available to you and what you need.
Personalized Models
Build sub-models to optimize devices for one specific environment or task.
Covering the Machine & Deep Learning Continuum
Allegro AI is the first and only platform that addresses each phase of the Machine & deep learning product life-cycle
