Modern architecture with flexible deployment options. Run on-premise, in the cloud, or hybrid. Full control over your AI infrastructure.
Enterprise-grade technologies powering SuperChat
Choose the deployment model that fits your requirements
Complete control, maximum security
All processing happens within your infrastructure. No data leaves your network.
Can operate completely disconnected from the internet for maximum security.
GDPR, HIPAA, SOC 2 compliant architecture. Full data sovereignty.
Connect to existing internal systems via workflow nodes and APIs.
Scalable, managed infrastructure
Deploy to multiple regions for low-latency access worldwide.
Automatically scale resources based on demand. Pay for what you use.
Automatic updates and patches with zero downtime deployments.
High availability with automatic failover and disaster recovery.
Best of both worlds
Keep sensitive data on-premise while leveraging cloud for scalability.
Balance infrastructure costs with workload-specific deployment.
Route workflows dynamically based on data sensitivity and requirements.
Migrate to cloud incrementally without disrupting operations.
Pre-built integrations and extensible API framework
Read/write/list files, manage permissions, shared drives
OAuth 2.0OneDrive, Outlook, SharePoint integration
OAuth 2.0File operations, sharing, team folders
OAuth 2.0Send/receive emails, labels, attachments
OAuth 2.0Messages, channels, webhooks, bot interactions
OAuth 2.0 / WebhookWebhooks, embeds, bot commands
Bot Token / WebhookPost tweets, read timeline, search, analytics
OAuth 2.0Share content, company pages, analytics
OAuth 2.0Pages, posts, groups, insights
OAuth 2.0MySQL, PostgreSQL, SQL Server, SQLite
Connection StringMongoDB, Redis, Cassandra
Connection String / API KeyAny RESTful API with JSON/XML responses
Custom / API KeyTechnical specifications for workflow nodes
{
"id": "unique-node-id",
"type": "node-type",
"name": "Node Name",
"position": { "x": 100, "y": 100 },
"config": {
"param1": "value1",
"param2": "value2"
},
"inputs": [
{ "port": "input1", "type": "string" }
],
"outputs": [
{ "port": "output1", "type": "object" }
]
}{
"id": "connection-id",
"sourceNode": "node-1-id",
"sourcePort": "output1",
"targetNode": "node-2-id",
"targetPort": "input1"
}Hardware and software requirements for optimal performance
Real-world performance metrics across different configurations
| Model | Hardware | Latency (First Token) | Throughput | Memory Usage |
|---|---|---|---|---|
| AI Model 1B | Intel i5 + Integrated GPU | < 50ms | ~50 tokens/sec | ~800 MB |
| AI Model 3B | Intel i7 + NVIDIA GTX 1660 | < 200ms | ~30 tokens/sec | ~2.5 GB |
| Reasoning Model | Intel i7 + NVIDIA RTX 3060 | < 300ms | ~25 tokens/sec | ~3.0 GB |
| GOD MODE | AMD Ryzen 9 + NVIDIA RTX 4090 | < 500ms | ~20 tokens/sec | ~5.5 GB |
| GOD MODE | Server: Xeon + NVIDIA A100 | < 100ms | ~100 tokens/sec | ~6.0 GB |
Note: Performance varies based on hardware, model parameters, and context length. Benchmarks measured with 8K context, temperature 0.3.
Enterprise-grade security built into every layer
Our team can help design the right architecture for your requirements.