Self-Hosted Enterprise AI Hub · Multi-Account Pooling · Token Observability · Hardware-Software Co-Design
Eliminate scattered direct connections, black-box billing, and model configuration silos. Operating as an enterprise on-premise hub, the ALNETS Enterprise AI API Gateway aggregates cloud commercial LLMs (Claude, OpenAI, DeepSeek, Gemini) and local private compute (Ollama / vLLM), providing standardized endpoints, credential isolation, and budget governance for applications, dev workflows, and autonomous agents.
PAIN POINTS
Enterprises rarely lack AI tools or budget; they lack a unified hub, leading to fragmented setups, runaway costs, and security compliance risks.
Teams need multiple vendors (Claude, OpenAI, DeepSeek). Engineers configure keys, base URLs, and proxy workarounds on individual laptops; any upstream change breaks everyone.
Departments use separate credit cards or overseas credentials without unified pooling. Single accounts hit concurrency limits or vendor risk checks, triggering costly downtime.
Enterprises cannot restrict who calls expensive reasoning models. Upstream master keys get shared via chat or hardcoded into scripts, with zero revoking capability upon departure.
Monthly invoices show lump sums without attributing spending to specific departments, products, or autonomous agent loops. Cost overruns happen without warnings.
SYSTEMATIC APPROACH
From upstream ingestion, resource pooling, downstream provisioning to financial auditing.
Ingest enterprise OpenAI, Anthropic, DeepSeek credentials, alongside local Ollama / vLLM instances in the LAN.
Aggregate accounts into pools with load-balancing weights, isolated proxy egress per account, and health checks.
Generate internal keys for teams, developers, and agents with granular model whitelists and RPM/TPM throttling.
Track Token usage by department, user, model, and task in real time. Set soft warnings and hard circuit breakers.
PRODUCT CAPABILITIES
Designed for enterprise tech stacks, natively compatible with any tool adhering to OpenAI API standards.
Fully compatible with OpenAI API specs. Existing client tools (Dify, FastGPT, Cursor, Claude Code) connect by simply changing the Base URL without code modifications.
Pool multiple vendor accounts with round-robin, weighted priority, and real-time health checks. Failures or rate limits instantly failover without application disruption.
Bind each cloud provider account to an isolated proxy egress node, avoiding collective risk triggers caused by shared IPs. Co-engineered with AiR for optimized routing.
Issue dedicated internal keys. Restrict allowed models, RPM, and TPM per key. Master upstream API keys never leave the secure gateway environment.
Logs prompt/completion tokens, latency, and status codes per request. Generates cross-dimensional analytics across departments, teams, models, and tasks.
Set monthly Token or cost quotas per department. Supports soft limits (80% email/webhook alerts) and hard limits (100% auto-throttling) to prevent runaways.
HARDWARE-SOFTWARE CO-DESIGN
ALNETS delivers end-to-end synergy: software hubs manage policies, while purpose-built hardware handles network tunnels, agent runtimes, and local compute.
Dedicated enterprise gateway appliance and software hub. Anodized aluminum silent cooling chassis with dual GbE ports, managing model catalogs, account pools, key auth, token budgets, and egress proxies.
Provides enterprise cloud tunnels, dedicated egress routing, and cross-branch secure connectivity to the API Gateway.
10W ultra-low-power host for 24/7 autonomous agents. Calls the API Gateway over LAN; scripts run locally without cloud exposure.
Equipped with dual V100 64GB / single 32GB HBM2 VRAM. Hosts local Ollama / vLLM models as on-premise compute nodes for the gateway.
Next-gen enterprise workstation for large-parameter inference and fine-tuning, seamlessly integrated into gateway compute pools.
Fleet operations platform for monitoring AiR, AiA, and AiW device health, telemetry, and remote firmware maintenance.
USE CASES
Covering engineering workflows, autonomous agents, business apps, and hybrid cloud-local topologies.
SELECTION & BUNDLES
Choose the optimal deployment configuration matching your current scale and compliance needs.
| Stage | Core Challenge | Recommended Stack | Extensions | Timeline |
|---|---|---|---|---|
| Phase 1: Cloud Governance | Scattered keys, risk blocks, black-box billing | API Gateway + AiR | Key Auth Module | 1 - 2 Days |
| Phase 2: Agent Runtimes | 24/7 background agent execution, runaway prevention | API Gateway + AiA Host + AiR | AiM Telemetry | 2 - 3 Days |
| Phase 3: Hybrid Compute | Data sovereignty, on-prem high-VRAM inference | API Gateway + AiW-V + AiR | Local Vector Store | 3 - 5 Days |
| Phase 4: Full Enterprise Stack | Multi-dept governance, hybrid compute & fleet management | Enterprise AI Gateway Suite | AiM Fleet Ops | Within 1 Week |
Bundles the ALNETS API Gateway software hub, AiR cloud gateway, AiA 10W agent host, and AiW-V compute node into an integrated, enterprise-grade AI infrastructure.
FUTURE ROADMAP
We continuously evolve the gateway. Here are upcoming features and hardware products.
Dynamically routes prompts to cost-effective models based on task complexity and length.
AiA hosts automatically register with the gateway upon boot, receiving credentials seamlessly.
Optimized stream pipelining and resume-on-disconnect for long-context coding agents.
Executive dashboards comparing team adoption rates, productivity gains, and ROI.
Next-gen enterprise on-premise compute hardware for massive LLM fine-tuning and inference.
