AI Mission Control

Launch Sovereign AI
With Confidence.

Route, fine-tune, and deploy AI models on your infrastructure. 16+ providers, enterprise RAG, and domain-specific fine-tuning — your data never leaves your network.

OpenAI-compatible API
curl https://your-router/v1/chat/completions \ -H "Authorization: Bearer sk-..." \ -d '{"model": "auto", "messages": [...]}'
Routes to 16+ providers
OpenAIAnthropicGoogle Vertex AIGroqTogether AIMistralCohereAzure OpenAIAWS BedrockOpenRouterPerplexityxAI GrokHugging FaceOllamaNVIDIA NIMAlibaba Cloud
Built for the NVIDIA AI Ecosystem
NIM MicroservicesNemotronNVML MonitoringA100 / H100 / B200LoRA Fine-Tuning

Our Partners & Integrations

OpenAI
Anthropic
Google Vertex AI
Mistral
Cohere
Groq
Together AI
Azure OpenAI
AWS Bedrock
OpenRouter
Perplexity
xAI Grok
Hugging Face
Ollama
Alibaba Cloud
Docker logo
Kubernetes logo
NVIDIA logo
AMD logo
Intel logo
PostgreSQL logo
OpenAI
Anthropic logo
Google Vertex AI logo
Mistral logo
Cohere logo
Groq
Together AI
Azure OpenAI logo
AWS Bedrock logo
OpenRouter
Perplexity
xAI Grok
Hugging Face
Ollama
Alibaba Cloud
Docker logo
Kubernetes logo
NVIDIA logo
AMD logo
Intel logo
PostgreSQL logo
Sovereign AI

Fine-Tune AI Models on Your Domain Data

Fine-tune open models — Llama, Mistral, Qwen, and any HuggingFace model — with LoRA/QLoRA on your NVIDIA GPUs. Medical, legal, financial — any domain. Your data never leaves your infrastructure.

Dataset uploaded
icd10-clinical-notes.jsonl
JSONL
24,500
Samples
Valid
Format
Training configuration
meta-llama/Llama-3-8B
Base model
r=16
LoRA rank
α=32
LoRA alpha
4-bit NF4
Quantization
Training complete
“Fine-tuned for ICD-10 code extraction from clinical notes”
Progress100%
Model ready to deploy
94.2%
Accuracy
0.0847
Final loss
2.4 hrs
Training time
Deployed
Status
LoRA Adapter
Type
A/B Ready
Testing

Standard & Turbo Mode

Standard HuggingFace training or Unsloth turbo mode — up to 2x faster with 70% less VRAM. Choose per job. QLoRA 4-bit on a single GPU.

One-Click Deploy

Merge LoRA adapters and deploy fine-tuned models instantly. Serve alongside base models with A/B testing.

Live Monitoring

Real-time training metrics — loss, accuracy, learning rate, GPU utilization — streamed to your dashboard.

Dataset Management

Upload, validate, and version JSONL datasets. Automatic format checking and train/eval splitting.

Model Versioning

Track every training run with full reproducibility. Compare adapters, rollback deployments, audit lineage.

Multi-GPU Support

Distributed training across NVIDIA, AMD, and Intel GPUs. Automatic hardware detection and allocation.

Compatible base models
LlamaNemotronMistralMixtralQwenPhiGemmaAny HuggingFace Model
See It Work

Every Request, Routed Intelligently

Router analyzes each request, evaluates available models, and picks the best one — for cost, speed, or quality.

Incoming request
“Translate this product page into French, Spanish, and German”
Guardrails
Content Safety
PII Scan
Policy Check
ClassifiedTranslationMulti-languageLow complexity
Models evaluated
Mistral Large
Cost$0.002
Latency0.6s
Quality85%
GPT-4o
Cost$0.015
Latency1.1s
Quality92%
Claude 3.5 Sonnet
Cost$0.018
Latency1.3s
Quality90%
Cost Optimized
87% cheaper than always using GPT-4
Cloud (Mistral API)Tenant: MarketingEvent #12,847 logged$0.002 → Marketing budget

One API, Every Provider

Drop-in OpenAI-compatible endpoint. Switch models without changing a line of code.

Intelligent Routing

Content analysis picks the optimal model for each request — by cost, speed, or quality.

Full Audit Trail

Every request logged with tenant, cost, and model details. Search and export anytime.

Everything You Need to
Own Your AI Stack

Route, fine-tune, and serve models on your infrastructure. Access control, cost management, and audit logging — built for sovereign AI in production.

OpenAI-Compatible API

Drop-in replacement for the OpenAI API. Works with any existing SDK or library. Full streaming support.

Multi-Provider AI

Anthropic (Claude), Google Vertex AI (Gemini), and Scalix World AI. Bring your own keys for additional providers. Automatic failover.

Intelligent Routing

Content analysis evaluates type, complexity, and language. Five strategies: cost-optimized, performance, balanced, quality-first, and custom.

Enterprise Knowledge (RAG)

Connect 10+ data sources — PostgreSQL, MySQL, MongoDB, S3, Snowflake, BigQuery, Elasticsearch, and Redis. Every request enriched with context via semantic search.

Sovereign Fine-Tuning

Train domain-specific models on your data with QLoRA. Medical, legal, financial — any domain. Your data never leaves your infrastructure.

API Key Management

Scoped API keys with granular permissions. Per-key rate limiting, one-click rotation, and instant revocation.

Multi-Tenancy

Separate users, models, and quotas per tenant. Per-tenant billing, usage tracking, and resource management.

Content Safety & PII

PII detection catches SSNs, emails, and phone numbers before they reach models. Topic restrictions and content filtering.

Cost Management

Per-request cost tracking by model and tenant. Budget caps and alerts per team. Usage reports and billing dashboards.

Audit Logging

Every request logged with event type, severity, and timestamps. Search, filter, and export for compliance.

GPU Monitoring

NVML-based monitoring for NVIDIA GPUs (A100, H100, B200), plus AMD ROCm and Intel. Track utilization, temperature, and memory across nodes.

Monitoring & Observability

Built-in monitoring, usage analytics, and structured logging. Real-time metrics and alerting included.

Rate Limiting

Per-API-key and per-tenant rate limiting with sliding window algorithm. Enforced in middleware on every request.

Flexible Deployment

Docker, Docker Compose, or Kubernetes with Helm charts. Horizontal pod autoscaling. Self-hosted on your infrastructure.

GPU Orchestration

Multi-Vendor GPU, One Dashboard

Monitor NVIDIA GPUs via NVML, AMD via ROCm, and Intel in real time. ML-based predictive auto-scaling with webhook and Kubernetes HPA integration. No vendor lock-in.

Nodes
4
GPUs Online
3 / 4
Avg Utilization
65%
Total Memory
480 GB
NVIDIAA100 80GB
Active
Utilization87%
Memory68 / 80 GB
Temp72°C
NVIDIAH100 80GB
Active
Utilization45%
Memory32 / 80 GB
Temp58°C
AMDMI300X 192GB
Active
Utilization62%
Memory104 / 192 GB
Temp65°C
IntelGaudi 3 128GB
Idle
Utilization0%
Memory0 / 128 GB
Temp34°C
Predictive Auto-Scaling
ML-Based Prediction
LinearRegression on CPU, memory, GPU, and request rate history. Scales before demand spikes.
Webhook & K8s HPA
Fire scaling actions via configurable webhooks or patch Kubernetes deployments directly.
Cost-Optimized
Cooldown periods, threshold tuning, and min/max instance bounds prevent over-provisioning.
Content Safety

Every Request Scanned, Before It Reaches a Model

PII redaction, toxicity filtering, malicious code detection, and policy enforcement — automatically, on every request.

Incoming request
“Summarize our Q4 revenue projections for the board meeting”
Safety checks
PII / PHI
Toxicity
Malicious Code
Topic Policy
Risk score
5/100
Allowed
Request forwarded to routing engine
Enterprise Platform

Built for Production, Not Just Prototypes

Multi-tenancy, audit logging, billing, API keys, SSO — everything an enterprise needs to run AI in production, out of the box.

Multi-Tenancy
12
Tenants
100%
Isolated
  • Separate users, models, and quotas per tenant
  • Per-tenant billing and usage tracking
  • Resource limits enforced automatically
Audit Logging
4,291
Events today
In Progress
Compliance
  • Every request, decision, and access logged
  • Compliance reports and export
  • Configurable retention policies
Cost Management
$2,847
This month
61%
Saved
  • Per-request cost tracking by model and tenant
  • Budget caps and alerts per team
  • Usage reports and billing dashboards
API Key Management
38
Active keys
Per-key
Rate limits
  • Scoped keys with granular permissions
  • Per-key rate limiting and quotas
  • One-click rotation, instant revocation
SSO & RBAC
JWT
Auth
3 tiers
Roles
  • JWT authentication with configurable providers
  • Admin, User, Viewer role hierarchy
  • API key and session management
Flexible Deployment
3
Options
HPA
Scaling
  • Docker, Docker Compose, and Kubernetes
  • Helm charts with horizontal pod autoscaling
  • Self-hosted on your infrastructure
Enterprise Knowledge

Connect Your Data, Enrich Every Response

Connect databases, document stores, and cloud storage. Every LLM request is automatically enriched with relevant context from your enterprise data.

Product DB
PostgreSQL · 12,480 docs
Policies
S3 Bucket · 847 docs
Internal Wiki
Web Crawl · 3,215 docs
Support Tickets
MongoDB · 28,930 docs
User query
“What is our return policy for enterprise customers?”
Semantic search · sources matched
PoliciesS3 Bucket
Product DBPostgreSQL
Context injected into prompt
“Enterprise customers on Tier 2+ plans are eligible for a 30-day full refund. Custom contracts may override this with negotiated terms per Section 4.2...”
Source: Policies / enterprise-terms-v3.pdf
Context-enriched response
Enterprise customers (Tier 2 and above) have a 30-day full refund window. If you have a custom contract, your specific terms in Section 4.2 take precedence over the standard policy.
3
Sources matched
94%
Confidence
+120ms
Latency
Supported data sources
PostgreSQLMySQLMongoDBAmazon S3Azure BlobGoogle Cloud StorageSnowflakeBigQueryRedshiftElasticsearchRedisWeb CrawlCSV / JSON / Text

How It Works

Scalix Router sits between your application and inference backends — enriching requests with enterprise knowledge, routing to cloud providers, local GPUs, or your own fine-tuned models.

Your Application
Any app using the OpenAI API or SDK — no code changes needed
Enterprise Data
Databases, S3, Snowflake, Elasticsearch — 10+ sources indexed for RAG
Scalix Router
Request analysis
PII detection
Topic filtering
Knowledge retrieval
Model scoring
Provider selection
Audit logging
Cloud Providers
OpenAI, Anthropic, Google, Groq, Mistral, Cohere, Azure, Bedrock & more
Local GPUs (Air-Tight)
NVIDIA GPUs (NVML), AMD (ROCm), Intel — on-premise. Run NIM containers locally. No data leaves your network.
Your Fine-Tuned Models
Domain-specific LoRA models trained on your data. Sovereign AI you own.

Deploy Your Way

Docker, Docker Compose, or Kubernetes with Helm charts. Horizontal pod autoscaling from 1 to 10 replicas.

Full Dashboard

35+ page admin UI with API playground, model management, fine-tuning dashboard, and GPU monitoring.

Rate Limiting

Per-API-key and per-tenant rate limiting with sliding window algorithm. Enforced on every request.

Cost Tracking

Per-request cost tracking across all providers. See spending by model, team, or time period.

Built for Every Enterprise Need

From cost optimization to compliance, Scalix Router adapts to your industry and use case.

Enterprise AI Teams

Unify multiple LLM providers behind one API. Route requests intelligently, track costs per team, and enforce access controls across the organization.

  • Single API for all providers
  • Per-team cost tracking
  • Role-based access control
Cost SavingsUp to 60%

Healthcare & Compliance

PII detection redacts sensitive data before it reaches any model. Audit logging tracks every request for compliance reporting.

  • Automatic PII redaction
  • Full audit trail
  • Content policy enforcement
Data Control100%

Financial Services

Route sensitive financial queries to approved models with guardrails. Per-request cost tracking and budget controls for every team.

  • Model-level access control
  • Budget caps per team
  • Request-level cost tracking
GovernanceFull

AI Hardware Vendors

Showcase GPU capabilities with real-time monitoring. Multi-vendor support for NVIDIA, AMD, and Intel hardware with utilization dashboards.

  • Multi-vendor GPU monitoring
  • Utilization dashboards
  • Hardware allocation
GPU Support3 vendors

Multi-Cloud AI

Avoid vendor lock-in with provider failover. Route to the best model across cloud providers based on cost, speed, or quality.

  • Automatic failover
  • Multi-provider routing
  • No vendor lock-in
Providers16+

AI Governance

Centralized control over which models teams can use, how much they can spend, and what content is allowed through the pipeline.

  • Centralized model management
  • Spending controls
  • Content filtering
VisibilityFull stack

Deploy on Your Infrastructure

Licensed for self-hosted deployment. Full control over your data, your models, and your infrastructure.

Standard

Full-featured LLM gateway deployed on your infrastructure with Docker.

  • Full LLM routing and orchestration engine
  • Multi-provider support (16+ providers)
  • GPU monitoring (NVIDIA, AMD, Intel)
  • Admin dashboard with 35+ pages
  • Prometheus + Grafana monitoring
  • NVIDIA NIM container support via custom providers
  • Docker and Docker Compose deployment
  • Email support
Recommended

Enterprise

Everything in Standard plus advanced enterprise features, Kubernetes support, and dedicated support.

  • Everything in Standard License
  • Kubernetes Helm charts with HPA
  • Multi-tenancy with tenant isolation
  • SSO and advanced RBAC
  • Priority support with SLA
  • Custom integrations and onboarding
  • Dedicated account manager
Deployment Options
Docker
Single-node deployment with Docker Compose. Includes PostgreSQL, Redis, and monitoring.
Kubernetes
Production-grade with Helm charts, HPA scaling (1-10 replicas), and health checks.
On-Premise
Deploy on your own servers or private cloud. Full data control with no external dependencies.

Ready to Simplify
Your LLM Stack?

See how Scalix Router can unify your LLM providers, cut costs with intelligent routing, and give your team full visibility into AI usage.

For Engineering Teams

One API for every provider. Intelligent routing, access control, and monitoring — without the integration overhead.

For Platform & Security

API key management, RBAC, audit logging, and PII detection. Deploy on your own infrastructure with Docker or Kubernetes.

What to Expect

  • Live routing demo with your use cases
  • Architecture walkthrough and deployment options
  • Integration guide for your existing stack
  • Cost comparison across your current providers

Request Access

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