Powerful Intelligence. Advanced Models. Optimized Inference.
Models will keep changing. Your memory, skills, governance, and cost structure must not. From frontier agents and highly optimized model inference to GPU compute, Firmior AI deploys the full stack within your own boundary.
Three dimensions of sovereignty for enterprise-owned intelligence
Models remain upgradable. Intelligence keeps accumulating. Tokens can be produced on enterprise-owned compute.
Model Sovereignty
Access frontier models and switch freely — never locked into one technology path. Models are replaceable parts, not the platform.
Memory Sovereignty
Data, memory, skills, and workflows accumulate in Firmior OS within your boundary — owned by you, compounding with use.
Token Sovereignty
Produce tokens on your own compute — free from external quotas and pricing, with a cost structure you control.
One unified three-layer architecture
Applications, the operating system, and the intelligence foundation evolve together — one architecture for every enterprise agent. At its core, an Agent Harness built for production: task planning, tool use, memory management, multi-agent orchestration, and long-horizon reliability — each capability continuously evolving in real engineering, knowledge work, and professional scenarios.
Applications
Agent products for core enterprise work
Firmior OS
The intelligence and governance core — where memory, skills, and governance accumulate as long-term assets
Intelligence Foundation
From model inference to dedicated compute — one integrated foundation
Compatible with leading models and diverse compute
With deep inference optimization and hardware co-design, Firmior AI supports the deployment of leading models based on task type, security requirements, and existing infrastructure, with unified routing, continuously optimized inference, and no lock-in to a single model.
Leading model ecosystem
Deploy leading models privately, with unified evaluation, intelligent routing, and continuously optimized inference — model capability under the enterprise's own control.
Diverse compute resources
Compatible with NVIDIA and leading Chinese compute platforms, enabling flexible deployment across diverse compute.
From core needs to scaled deployment
Firmior AI redesigns enterprise GPU servers around inference efficiency. FEAS integrates production-grade agents, Firmior OS, models, and GPU servers into one system that is deployed once and reused across scenarios to improve performance per unit cost.
Advanced Agents
Coding · Work · Digital Employees
Governance · Intelligence Accumulation
Data Security · Permission Audit · Memory Accumulation
Token Autonomy · Cost Efficiency
Low-cost inference · Elastic scale
Code + DevOps
Software engineering agents
- Cross-file code awareness & refactoring
- Automated testing & bug fixing
- Code review & quality gates
Work + Expert
Work and productivity agents
- Autonomous task planning & execution
- Deep research on enterprise documents
- Data analysis & visualization
- Multimodal processing
Private · Elastic
Dedicated · Efficient
Department / Small Enterprise
Plug-and-play
Mid-market
Multi-scenario reuse
Large organizations
Full-scale rollout
Understand every model generation. Unlock its full potential.
Firmior AI does not build foundation models. It focuses on understanding them deeply: continuously evaluating leading models, mapping their capability boundaries and failure modes, and matching the right model to each class of task. Enterprise memory, skills, and workflows remain in the Firmior OS layer rather than the model layer — models can change while enterprise intelligence continues to accumulate.
Data never leaves your boundary
The complete path of an agent task — request, retrieval, inference, action, audit — happens inside your security boundary, with identity, permissions, sandbox isolation, end-to-end auditing, and policy control running through the model, agent, and data layers. The only crossing is a one-way, controlled, approved channel for model updates. Security is an architectural principle, not an add-on.
Token economics: lower TCO from engineering, not subsidies
From GPU servers to agent applications, every layer offers a cost optimization lever: kernels and memory management, KV cache, quantization and distillation, speculative decoding, batching, and high-concurrency scheduling. Coordinated optimization across the stack allows these levers to be tuned together rather than fragmented across vendors, continuously improving throughput on the same hardware.
Talk to our architects about your real environment
Bring your security requirements, existing systems, and compute environment — our architects will work through the architecture and data-flow design for your real environment.