[ Industry ]
AI Companies
Foundation model infrastructure and AI-native products.
We build for AI companies — model training infrastructure, inference platforms, AI-native applications, and the evaluation systems that make AI products reliable. We speak transformer.
Book a discovery call40%
inference cost reduction
10x
faster model evaluation
99.9%
inference uptime
Production
AI deployments
[ Challenges ]
What you're up against
- 1Training infrastructure that scales without breaking the bank
- 2Inference latency for production AI applications
- 3Evaluation and observability for AI systems
- 4RAG and retrieval systems that actually work
- 5Building AI products that are reliable, not just demos
[ Solutions ]
How we help
- Model training infrastructure on GPU clusters
- Inference platforms with caching and batching
- RAG systems with hybrid search and re-ranking
- AI evaluation frameworks and observability
- AI-native application development
[ FAQs ]
AI Companies questions
Do you train custom models?
Yes. We set up training infrastructure on AWS, GCP, or RunPod. We handle fine-tuning, LoRA/QLoRA, and full pre-training. We also do RLHF and DPO for alignment.
Can you optimize inference costs?
Yes. Typical clients see 30-50% cost reduction through better batching, caching, model distillation, and using smaller models for simple queries. We also implement streaming for better UX.