Custom AI Development
From fine-tuned language models to computer vision pipelines, we design and build AI systems tailored to your exact needs.
What's included
- Large language model (LLM) fine-tuning and customization
- Computer vision system development
- Natural language processing (NLP) pipelines
- Recommendation and ranking systems
- Time-series forecasting models
- Custom model evaluation frameworks
Our approach
Requirements & Data Audit
We start by understanding your target outcomes, available data, and constraints — latency, cost, accuracy thresholds — before writing a single line of model code.
Baseline & Architecture Selection
We evaluate pretrained models, identify the right architecture, and establish a baseline so you know exactly what you're improving from.
Iterative Model Development
We develop in short cycles with regular demos and evaluation checkpoints, ensuring the model evolves toward real-world performance — not just benchmark scores.
Hardening & Handoff
We run adversarial testing, bias audits, and edge-case analysis before packaging the model with comprehensive documentation and deployment-ready artifacts.
What you get
- Production-ready trained model(s)
- Model evaluation report with benchmarks
- Training and inference code (well-documented)
- Deployment artifacts (ONNX, Docker, API wrapper)
- Data preprocessing pipeline
- Model card with usage guidelines and limitations
Technologies we use
- PyTorch
- TensorFlow
- Hugging Face Transformers
- OpenAI API
- LangChain
- scikit-learn
- ONNX
- Ray
- CUDA
Related services
Ready to get started?
Tell us about your project and we'll come back with a concrete plan within one business day.
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