Foundation and domain models
We build foundational language models and adapt existing models through distillation and fine-tuning for domain-specific work.
AI engineering lab
Applied research, built to leave the lab.
ARCHE develops models and AI infrastructure for specific enterprise requirements, then works with product teams to put that research into production.
Discuss your research needCurrent capabilities
From model behavior to operating system.
Agent infrastructure
We engineer proprietary agent harnesses that connect models, tools, business rules, and human review into dependable workflows.
Memory and evaluation
We create memory systems and evaluation methods that help AI retain useful context and improve against real operating requirements.
Compute and deployment
We operate our own compute clusters and design deployment around the security, performance, and control each enterprise requires.
Research to production
The work starts with the enterprise requirement.
We choose the model, data, architecture, and evaluation approach around the task, security model, and operating environment.
- 01Define the problem and evaluation criteria
- 02Prototype the model and system behavior
- 03Test with real enterprise context
- 04Deploy, observe, and improve
One team
Researchers and product engineers work together.
The people exploring the model behavior stay connected to the people building the product, integrations, controls, and production system.