AI Infrastructure as a Service
We design and deliver the foundational layers that advanced AI systems rely on — data pipelines, model workflows, and scalable evaluation systems.
Speech & Language Data Pipelines
Collection, cleaning, alignment and annotation of multilingual audio-text data. Custom formats for Whisper, MMS, and other modern architectures.
Custom Training Interfaces
Fine-tuning, LoRA adaptation, quantization-aware training, and in-domain instruction tuning. Optimized for real-world use cases and latency constraints.
Evaluation & QA Systems
Multi-pass eval flows, hallucination checks, BLEU/WER scoring, and human-in-the-loop trace capture to detect model regressions early.
Deployment-Ready Infrastructure
End-to-end delivery pipelines for real-world integration — including secure data transfer, automated retraining, and agent-level memory update.