Starter
$29/month
- 29K credits / month
- Lite mode only
- Bring your own compute (VPC)
- Community support
Overview
Neo functions as an autonomous AI Engineering Agent, assisting ML engineers in developing, testing, and refining AI systems. It integrates directly into popular IDEs like VS Code and Cursor, or can be run in the cloud, offering flexibility in how users build and manage their AI projects.
Core Functionality
The agent can research approaches, write code, run experiments, debug failures, benchmark models, evaluate outputs, and generate reports. It automates the iterative ML experimentation process, including model optimization, by running numerous experiments and automatically selecting optimal models. Users can guide Neo through an interactive chat interface, providing context and expertise to accelerate tasks and steer the agent's exploration of models and approaches.
Workflow and Use Cases
Neo's workflow involves four steps: describing the task in natural language, adding context such as repositories or data, allowing Neo to run long experiments and generate versioned artifacts, and finally, steering or testing the outputs for refinement and deployment. This approach supports tasks like building RAG pipelines, performing LLM evaluations, optimizing prompts, fine-tuning models, and creating ML pipelines.
Key features
- Autonomous AI Engineering Agent
- Integrates with VS Code, Cursor, and Claude Code
- Automates model optimization and experimentation
- Multi-step reasoning and pathfinding abilities
- Interactive chat interface for guidance
- Supports RAG pipelines, LLM evals, prompt optimization
- Generates code, runs experiments, debugs failures
- Works with user's own compute (CPU/GPU)
Who uses it
ML engineers and researchers worldwide who are involved in building, testing, and deploying AI systems and machine learning models.
Pros
- Automates complex ML engineering tasks like RAG pipelines and LLM evaluations.
- Integrates directly into popular IDEs (VS Code, Cursor) for seamless workflow.
- Utilizes multi-step reasoning and iterative experimentation for model optimization.
- Allows users to bring their own compute (CPU/GPU) for flexibility.
- Offers an interactive chat interface for guiding the agent.
Cons
- Requires technical expertise in ML engineering to fully leverage its capabilities.
- Performance benchmarks are stated for a future date (August 2025), which may indicate aspirational claims.
- No clear pricing tiers or detailed feature breakdown for free versus paid access.
- Primarily focused on ML engineering, which might limit utility for broader development tasks.
Our take
Neo provides a specialized AI agent for streamlining machine learning development and operations, offering automation for complex tasks within familiar developer environments. Its utility is highest for professionals deeply involved in AI model building and optimization.
Pricing plans
Value
$69/month
- 100K credits / month
- Lite mode only
- Bring your own compute (VPC)
- Basic email support
Pro
$199/month
- 250K credits / month
- Pro & Lite mode
- Bring your own compute (VPC)
- 720 hours of dedicated compute
- Concierge onboarding session
- Early access to latest features
- Priority email support
Enterprise
Custom
- Custom credits allocation
- Pro & Lite mode
- VPC + dedicated platform compute
- Access to Pro Models
- Dedicated success manager
- SSO & audit logs
- SLA guarantee
Pricing details are provided for reference and may differ from the vendor's current plans.
Comments
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