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Managed Fine-Tuning
End-to-end custom model training with guaranteed results. From data preparation to production deployment, we handle everything.
Our Process
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1. Requirements
We analyze your use case, data, and success metrics to design the optimal training approach.
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2. Preparation
Data cleaning, augmentation, and preprocessing tailored to your domain and model architecture.
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3. Training
Multi-GPU distributed training with hyperparameter optimization and continuous monitoring.
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4. Delivery
Production-ready model with documentation, benchmarks, and deployment support.
LLM Fine-Tuning
Customize large language models like Llama, Mistral, or GPT for your specific use case.
- • Parameter-efficient training
- • Domain-specific optimization
- • Safety and alignment tuning
Computer Vision
Train custom vision models for object detection, classification, or segmentation tasks.
- • YOLO, R-CNN architectures
- • Multi-modal learning
- • Real-time inference optimization
Time Series & Forecasting
Develop predictive models for financial, supply chain, or operational forecasting.
- • Transformer-based models
- • Multi-variate predictions
- • Uncertainty quantification
Project-Based Pricing
Prototype
$25K+
4-6 week timeline
- • Proof of concept development
- • Basic data preprocessing
- • Initial model training
- • Performance benchmarks
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Production
$75K+
8-12 week timeline
- • Full pipeline development
- • Advanced data engineering
- • Multi-GPU distributed training
- • Production deployment
Enterprise
$200K+
12-20 week timeline
- • Multi-model ecosystem
- • Custom infrastructure
- • Advanced MLOps integration
- • Long-term support