LLM Integration & Fine-Tuning
GPT-4o, Claude, Llama, and domain-specific retrieval systems tuned for your proprietary workflow and knowledge layer.
> vault_rag --query "policy" answer retrieved in 48ms
We build decision engines, not novelty demos. Every model ships with clear business metrics and production-grade infrastructure.
0.0%
Model Accuracy Avg
0+
Models Trained
0M+
Data Points Processed
0ms
Inference Latency
Machine Learning * LLM Fine-Tuning * Computer Vision * Predictive AI * RAG Pipelines
Machine Learning * LLM Fine-Tuning * Computer Vision * Predictive AI * RAG Pipelines
Build Preview
|Training: 84.2% complete
AI Services
GPT-4o, Claude, Llama, and domain-specific retrieval systems tuned for your proprietary workflow and knowledge layer.
> vault_rag --query "policy" answer retrieved in 48ms
Object detection, classification, OCR, and video pipelines optimized for production inference and operational monitoring.
> vision.detect(frame) objects=3 conf=0.97
Forecasting, churn detection, fraud detection, and demand modeling exposed as API services with confidence intervals.
> forecast.predict(horizon=90) RMSE=0.034 confidence=94.2%
End-to-end pipelines with experiment tracking, repeatable training runs, and controlled model promotion workflows.
> mlflow run . --epochs 50 best val_loss=0.0124
High-throughput inference APIs with batching, versioning, fallback models, and operational safeguards for uptime.
> POST /v1/predict 200 OK prediction=0.92
Bias auditing, explainability, guardrails, and data governance controls integrated into delivery from day one.
> audit.fairness_check(model) bias score=0.02 PASS
AI Stack
Python
TensorFlow
PyTorch
OpenAI
Scikit-learn
HuggingFace
Jupyter
Kubernetes
98.4%
Model Accuracy
<50ms
Inference latency
0
Guardrailed hallucinations
99.9%
API uptime
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