Features
Comprehensive, actionable capabilities for autonomous ML engineering—from local data analysis to production-ready deployment—optimized for VS Code workflows.
Quick Overview
NEO accelerates AI/ML workflows with local-first autonomous agents:
Faster Iterations
Automate repetitive tasks and reduce iteration time by 10x
ML Capabilities
Support for 50+ task types across tabular, vision, NLP, audio, LLMs, and more
Deployment Flexibility
Cloud, local, on-prem, or edge deployment with reproducible artifacts
Reproducibility
Complete versioning of models, datasets, and pipeline outputs
Core Capabilities
End-to-End Pipeline
Automate the full ML lifecycle locally:
- Data Ingestion – Load, validate, and preprocess from files, databases, or cloud
- Feature Engineering – Automatic creation, selection, and transformation of features
- Model Training – Multi-model selection with hyperparameter tuning
- Evaluation – Metrics, visualizations, and performance comparison
- Deployment – One-click deployment with versioning and monitoring
Advanced Capabilities
Multi-Step Reasoning
Chooses the optimal strategy by evaluating multiple approaches before execution
Adaptive Intelligence
Automatically adapts strategy based on dataset characteristics and user feedback
Production-Ready Artifacts
Fully documented, tested, and versioned outputs for reliable deployment
ML Pipeline
Data Ingestion → Validation → Feature Engineering → Model Training → Evaluation → Deployment
Pipeline Features
- Auto-termination – Sessions auto-close after 7 days of inactivity
- Artifact Preservation – Download models, reports, and logs
- Reproducibility – Track all steps, parameters, and dependencies
Data Ingestion
Load data from local files, databases, or cloud storage
Validation
Schema checks, anomaly detection, and quality validation
Feature Engineering
Automated creation, transformation, and selection of features
Model Training
Multi-model training with hyperparameter optimization
Evaluation
Metrics, visualizations, and comparative reports
Deployment
One-click deployment to cloud, local, or edge environments
Supported ML Tasks
Tabular ML
Regression, Classification, Clustering, Time Series, Anomaly Detection
Computer Vision
Image Classification, Object Detection, Segmentation, OCR
NLP
Sentiment Analysis, NER, Summarization, Question Answering
Audio & Speech
Speech Recognition, Audio Classification, Speaker Identification
LLM Fine-tuning
Instruction tuning, LoRA/QLoRA, domain adaptation
GenAI & Agentic AI
RAG systems, autonomous agents, tool calling, multi-step reasoning
Advanced & Multi-modal
Recommendations, transfer learning, multi-modal pipelines
Key Advantages
Speed & Efficiency
- Rapid prototyping – Quick experiments and iterations
- Auto optimization – Hyperparameter tuning and caching
- Smart caching – Reuse previous computations
Quality & Reliability
- Reproducibility – Track all outputs, models, and configurations
- Version control – Full history of changes
- Automated validation – Ensures pipeline correctness
Flexibility & Control
- Custom constraints – Define optimization criteria
- Interactive refinement – Guide NEO with feedback
- Integration-ready – Works with existing tools and workflows
Deployment Options
Cloud Platforms
AWS, GCP, Azure managed services for scalable deployment
VS Code Extension
Local, private, and Git-friendly development environment
On-Premises
Enterprise-grade security and compliance on local infrastructure
Edge & Mobile
Lightweight deployment for IoT and mobile devices
Output Formats
Docker Containers
Ready-to-run containers with all dependencies included
REST APIs
Fully documented OpenAPI endpoints for integration
Pickle / ONNX
Model serialization for reuse in custom pipelines
Cloud-native
Deploy to SageMaker, Vertex AI, or other managed platforms
Feature Highlights
Autonomous Execution
Self-corrects, installs dependencies, and handles errors automatically
AI-PoweredFull Transparency
View all code, decisions, and reasoning for each action
ExplainableIterative Improvement
Refines models and workflows based on validation and feedback
AdaptiveSmart Artifacts
Generates reproducible reports, metrics, plots, and models
Production-Ready