
PRIVATE DEPLOYMENT / 私有化
Private AI middleware for government, finance and sovereign compute
Built on five proprietary pillars — semantic caching, adaptive batching, OpenAI zero-migration, end-to-end compliance and custom compute routing — with every byte staying inside your network.
Native core capabilities
Five native capabilities covering data, compute, access, compliance and tenancy.
Local multi-tier semantic cache loop
Memory, disk and cluster caches all stay inside your network. Vectors, completions, multi-turn context and raw prompts never leave for any vendor cloud. Custom TTL, one-click purge for classified sessions, offline response when the public internet is down.
Full local control of compute orchestration
You hold root access to the Scheduler: concurrency throttling, cross-node load balancing, off-peak batch coalescing, peak quota locking, allow/deny lists. Define separate strategies for office hours, production and overnight ops.
Zero-migration access to heterogeneous models
Native OpenAI API compatibility. Air-gapped networks need no tunneling and no code changes — open-source local, global commercial and overseas compliant models all expose one standard API.
Native end-to-end compliance & audit
Prompt-side pre-screen, output-side post-screen and end-to-end audit run on your premises. Identity, timestamp, prompt, response, token usage and IP are stored encrypted with tamper-proof hashes and at least 90 days of offline retention.
Dual hard isolation for tenants & data
Each subsidiary, department or partner gets isolated compute quota, dedicated API keys, dedicated cache storage and a separate audit trail. Caches, sessions, compute and logs are physically segregated — no lateral data path between tenants.
Four key advantages
Against public AI gateways, private deployment returns control to the customer.
Data sovereignty
100% on-premises, zero data egress. Every computation, cache and audit log stays inside your network — the vendor backend has no visibility into your business data. Meets the hard-line residency requirements of government, defense, financial and sovereign-compute customers.
Long-term cost
All savings from cache reuse and adaptive batching go back to you. Knowledge-base Q&A, scripted responses and high-frequency lookups hit 45%+ reuse, cutting inference cost a steady 25%–40% — with no traffic markups or overage fees.
Reliability
Independent of public-internet links — runs fully offline on your LAN against your own SLA. Automatic node failover and hot kernel updates mean patches and upgrades never interrupt live AI traffic.
Flexibility
Full access to every config layer — plug into your SSO, local object storage and internal firewalls; define cross-border low-latency routes, IP allowlists and time-window blackout policies; embed into distributed compute, sovereign-compute prime contracts or AI quant-trading stacks.
Public vs Private
Side-by-side comparison
| Dimension | Public deployment | Private deployment |
|---|---|---|
| Where business data lives | TokensChain vendor cloud | Your own LAN, fully on-premises |
| Compute-scheduling authority | Controlled by the TokensChain platform | Owned 100% by the customer |
| Public-internet dependency | Requires constant public connectivity | Runs fully offline on your LAN |
| Audit log retention | Synced to vendor cloud, visible to vendor | Encrypted offline retention, tamper-proof, never shared |
| Best-fit scenarios | SMBs running non-classified general-purpose AI | Government, finance, cross-border sovereignty, classified compute |
| Who keeps the cache savings | Kept by the platform vendor | 100% retained by the customer |
Delivery boundaries & guarantees
From hardware floor to cutover, every step is backed by a safety net.
Deployment shapes & hardware floor
(1) Single-node lightweight: a Linux server with 64GB RAM is enough for SMB workloads. (2) Three-node distributed cluster: built for large-scale government and cross-border concurrency, with horizontal compute scaling.
Migration guarantees
Carries over the OpenAI zero-migration story — no interface rebuild, no code rewrite. Standard cutover takes under an hour, with zero downtime and zero data loss.
LAN-side safety net
Three layers of internal defense: dynamic API auth, internal IP allowlisting and real-time anomaly detection. Stops compute theft, privilege escalation and malicious requests.
Ready to bring TokensChain into your network?
Our solutions team runs a 1:1 deployment review against your workload, compliance posture and hardware footprint.