YOUR AI ML ENGINEER ON DEMAND

Deploy an Army of AI Agents
to Build Your ML Models

ProspectML isn't AutoML. Give it a prompt describing what you need, and it spawns unlimited AI agents that work in parallel - exploring data, testing approaches, optimizing models. Like having an entire ML team working 24/7.

Unlimited Agents

Scale without limits

One Prompt

Natural language input

Your Infrastructure

Complete control

Start Free Trial Request A Demo

Trusted by industry leaders

More Than AutoML: An AI That Works Like an ML Engineer

Flexible, intelligent, and actually understands your business

Multiple AI Agents Working in Parallel

One prompt spawns an army of specialized agents. Some explore your data, others test algorithms, more optimize hyperparameters - all working simultaneously to deliver the best solution.

Agents deployed: 10-100+ per task

Comprehensive Exploration & Testing

Agents systematically explore every angle - different algorithms, feature combinations, time windows. They find solutions a single engineer might miss.

Approaches tested: 100s per model

From Prompt to Production in Hours

Describe your need in plain English. Agents handle everything: data analysis, feature engineering, model selection, optimization, deployment. Complete automation.

Time to deploy: 2-4 hours average

See the Difference: AI Agents vs Traditional AutoML

Why an army of AI agents beats rigid automation

Traditional AutoML

Complexity:

Upload Clean Data

Hope your CSV fits their template

Select Model Type

Limited to preset options

Wait for Results

Black box, no visibility

Take It or Leave It

No customization possible

ProspectML AI Agents

Complexity:

Write Your Prompt

"Predict pump failures using sensor data"

Agents Swarm Your Data

10-100 agents explore in parallel

Test Everything

Try 100s of approaches simultaneously

Deploy Best Solution

Custom-built for your exact needs

True Flexibility: Any Data, Any Model, Any Problem

Unlike rigid AutoML platforms, ProspectML adapts to your data and requirements

Time Series & Forecasting

Beyond Simple Predictions:

Multi-variate Time Series: Complex patterns across multiple variables
Irregular Intervals: Handle missing data and uneven sampling
Seasonal Decomposition: Automatically detect and model seasonality
External Factors: Incorporate weather, events, and other influences

LSTM, ARIMA, Prophet, and custom ensemble models

Anomaly Detection

Find What Doesn't Belong:

Unsupervised Learning: Detect patterns without labeled examples
Real-time Monitoring: Continuous anomaly scoring and alerting
Multi-dimensional: Complex feature spaces and interactions
Adaptive Thresholds: Dynamic sensitivity based on context

Isolation Forest, Variational Autoencoders, Prophet

Computer Vision

See What Matters:

Object Detection: Identify and locate items in images
Classification: Categorize images with high accuracy
Segmentation: Pixel-level analysis and masking
Custom Datasets: Train on your specific domain images

YOLO, ResNet, Custom CNNs and transfer learning

Classification & Regression

Core ML Fundamentals:

Feature Engineering: Automatic creation and selection
Ensemble Methods: Combine multiple models for better performance
Imbalanced Data: Handle skewed datasets effectively
Interpretability: Understand model decisions and feature importance

XGBoost, Random Forest, Neural Networks

Natural Language Processing

Understand Text at Scale:

Sentiment Analysis: Extract emotion and opinion from text
Named Entity Recognition: Identify people, places, organizations
Text Classification: Categorize documents and messages
Custom Embeddings: Domain-specific text representations

LLama, Gemma, Qwen, custom language models

Any Data Source

Connect to Everything:

Structured Data: SQL databases, CSV files, APIs
Unstructured Data: Images, text, audio, video
Streaming Data: Real-time feeds and event streams
Mixed Formats: Combine different data types seamlessly

No preprocessing required - agents handle data cleaning

Why This Matters

Traditional AutoML platforms force your data into their rigid templates. ProspectML's AI agents adapt to your specific data, domain, and requirements - building custom solutions that actually fit your needs.

Your AI ML Engineer Lives in Your Infrastructure

Available 24/7, totally secure, completely under your control

Cloud Native

Scale seamlessly on AWS, Azure, or GCP. Perfect for dynamic workloads and global deployments.

On-Premise

Complete control for sensitive operations. Ideal for oil & gas, healthcare, and financial services.

Hybrid

Best of both worlds. Train on powerful cloud GPUs, deploy at the edge or in secure facilities.

Deploy Your AI Agent Army in Minutes

Get started with just a few commands in your Kubernetes cluster

Terminal - ProspectML Installation

                            
                            
# Export your LLM provider API key (Anthropic, OpenAI, VLLM, etc.)
export ANTHROPIC_API_KEY=sk-ant-your-key-here
                            
# Use our easy install script to install ProspectML
curl -sSL prospectml.com/install | bash


# Submit your first ML task
prospectml run "Predict equipment failures 72 hours in advance using vibration sensors, maintenance logs, and weather data"
vibration sensors, maintenance logs, and weather data"

# Output: Deploying 47 specialized agents...
# Output: Model deployment complete - optimized for your requirements

Everything Your AI ML Engineer Can Do

Intelligent Experimentation

Your AI engineer tries multiple approaches, explains trade-offs, and recommends the best solution for your specific constraints.

Data Analysis & Exploration

Agents automatically analyze your data, identify patterns, and suggest the most relevant features for your models.

Automated Retraining

Models automatically retrain when performance degrades or new data patterns emerge.

Production-Ready Code

Generate complete deployment code including API endpoints, containerization, and integration scripts.

Full Transparency

Your AI engineer explains every decision, shows its work, and helps you understand exactly how your models operate.

High Performance

Optimized inference with automatic model compression, caching, and hardware acceleration.

Deploy an Army of AI Agents to Build Your ML Models