Enterprise Service
Pre-Training Services
Overview
Enterprise-grade support for teams building with TNSA models.
Build proprietary foundation models with custom data, architecture choices, training infrastructure, and evaluation loops designed for long-term enterprise capability.
Pre-training methods
Focused services for production AI workflows.
Causal language modeling
ServiceAutoregressive training for GPT-style systems and generation-focused applications.
Masked language modeling
ServiceBidirectional representation learning for retrieval, classification, and understanding tasks.
Mixture of experts
ServiceSparse expert routing for larger effective capacity with more efficient inference paths.
Delivery process
A practical path from planning to production.
Data curation
Collect, clean, deduplicate, and filter large-scale training corpora.
Architecture design
Select transformer variants, tokenizer strategy, and scaling targets.
Distributed training
Run multi-node training with checkpointing and monitoring.
Evaluation
Measure quality, safety, robustness, and deployment readiness.
Scaling signals
100B+
Token-scale corpus planning
10x
Potential MoE capacity expansion
3D
Parallel training strategy
40%
Embedding quality target improvement
Applications
Proprietary enterprise models, domain foundation models, multilingual systems, government AI, research programs, and custom model families for regulated industries.
Build enterprise AI with TNSA
Talk to us about models, data, deployment, and production support.