Model Services

From Weights to Production

End-to-end model lifecycle support — fine-tuning, alignment, evaluation, and deployment for teams that need results, not overhead.

Fine-Tuning

Custom Model Adaptation

Transform foundation models into domain-specific powerhouses. Our team handles the full fine-tuning pipeline so you can focus on your application.

  • LoRA, QLoRA, and full fine-tuning strategies
  • Support for Llama, Mistral, Qwen, and custom architectures
  • Hyperparameter optimization and training monitoring
  • Multi-GPU distributed training orchestration

Fine-Tuning Pipeline

Base Model → Your Data → Adapted Model

Alignment

RLHF & Safety Alignment

Align your model's behavior with human preferences using our battle-tested RLHF pipeline and red-teaming methodology.

  • Preference data collection and reward model training
  • PPO and DPO optimization strategies
  • Red-teaming and adversarial evaluation
  • Safety guardrails and content filtering integration

Human Alignment

RLHF · DPO · Red-Teaming

Evaluation

Comprehensive Model Evaluation

Rigorous benchmarking across standard and custom evaluation suites to ensure your model meets production quality bars.

  • Standard benchmarks: MMLU, HumanEval, GSM8K, MT-Bench
  • Custom domain-specific evaluation suites
  • A/B comparison testing against baseline models
  • Latency, throughput, and cost-per-token profiling

Evaluation Suite

Benchmark · Compare · Report

Deployment

Production Inference

Optimized inference serving with quantization, batching, and auto-scaling for predictable latency and cost at any scale.

  • Model quantization (GPTQ, AWQ, GGUF) for cost reduction
  • vLLM and TGI-based serving infrastructure
  • Auto-scaling with request-based and queue-based triggers
  • API gateway with rate limiting and authentication

Production Ready

Optimize → Deploy → Scale → Monitor

Need model expertise?

From fine-tuning a chat model to deploying a production inference stack — we've got you covered.

Discuss Your Project →