Private LLM Development
We train custom language models on your own data, deploy them on your own infrastructure, and leave you owning the model, the weights and the IP, end to end.
Build Your Private LLMWhat We Build →
Custom Model Training
Train language models on your proprietary datasets using transfer learning, domain adaptation and curriculum training for peak performance on your specific tasks.
DiscussOn-Premise Deployment
Deploy models on your own infrastructure, bare metal, private cloud or air-gapped environments, with zero data leaving your perimeter.
DiscussData Pipeline Engineering
Automated data collection, cleaning, deduplication and formatting pipelines that prepare your proprietary data for model training at scale.
DiscussModel Distillation
Compress large models into smaller, faster versions optimized for your specific use cases, reducing inference costs while maintaining accuracy.
DiscussCompliance & Security
SOC 2, HIPAA, GDPR and industry-specific compliance frameworks built into every layer of the model lifecycle.
DiscussContinuous Learning
Automated retraining pipelines that incorporate new data, user feedback and domain shifts to keep your private LLM current and accurate.
DiscussOur Development Process
Technology We Work With
Base Models
- ▹ LLaMA 3
- ▹ Mistral
- ▹ Falcon
- ▹ Phi-3
Training
- ▹ PyTorch
- ▹ DeepSpeed
- ▹ Axolotl
- ▹ Unsloth
Data
- ▹ Apache Spark
- ▹ dbt
- ▹ Label Studio
- ▹ Argilla
Serving
- ▹ vLLM
- ▹ TGI
- ▹ Triton
- ▹ NVIDIA NIM
Infrastructure
- ▹ NVIDIA A100/H100
- ▹ AWS p5
- ▹ GCP TPUs
- ▹ RunPod
Security
- ▹ HashiCorp Vault
- ▹ AWS KMS
- ▹ mTLS
- ▹ Air-Gap
Ready to own your AI?
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