Secure, compliant, and governed AI infrastructure at any scale.
Enterprise AI deployments face a different class of problem: data residency regulations, model IP protection, compliance audits, multi-team governance, and the need for contractual SLAs. CogniCloud is purpose-built to meet these requirements without sacrificing the performance or developer experience that makes AI products competitive.
99.99%
Uptime SLA (dedicated tier)
0
Training on your data
SOC 2
Type II — in progress
HIPAA
Business Associate Agreement
The Challenge
Off-the-shelf AI APIs send your data to third-party models with opaque training policies. On-premise GPU clusters require multi-year capex and dedicated ML infra teams. Enterprises need the elasticity of the cloud with the security and control of on-premise — without building it themselves.
How CogniCloud helps
Region pinning ensures that your prompts, completions, and model weights stay within a specific geographic boundary. Supports EU, US, APAC, and custom data residency requirements.
Your fine-tuned models are stored encrypted at rest and never shared between customers. Dedicated GPU nodes ensure no hardware-level co-tenancy for your inference traffic.
Role-based access control for every resource: GPU quotas, model deployments, vector namespaces, and billing. Full audit logs exported to your SIEM in real time.
99.99% uptime guarantee on dedicated tiers, with automatic SLA credits for any breach. Dedicated support channel with a committed response time SLA.
Connect your existing VPC to CogniCloud via AWS PrivateLink or GCP Private Service Connect. No API traffic traverses the public internet.
Budget alerts, per-team spending limits, and detailed cost attribution by project, user, and model. Full invoice breakdown for internal chargeback.
How it works
We work with you to map your requirements, configure data residency, and set up VPC peering. No self-serve signup — every enterprise deployment is tailored.
# Sample architecture review checklist
✓ Data residency: eu-west-1 only
✓ VPC peering: vpc-0a1b2c3d (AWS)
✓ Compliance: HIPAA BAA signed
✓ RBAC: 6 teams configured
✓ SLA tier: Dedicated 99.99%
✓ Support: Slack + 2h SLAYour model deployments run on dedicated GPU nodes within your chosen region. Hardware isolation is enforced at the hypervisor level.
# Private deployment config
deployment:
model: acmecorp/llama3-fine-tuned-v4
tier: dedicated
region: eu-west-1
isolation: hardware
replicas: 8
sla:
p99_ttft_ms: 15
uptime: 99.99%Every API call is logged with full metadata. Export logs to your SIEM, set spending alerts, and manage team quotas — all in the governance dashboard.
// Audit log entry (streamed to your SIEM)
{
"ts": "2026-02-14T09:12:33Z",
"user": "alice@acmecorp.ai",
"team": "product-ai",
"model": "acmecorp/llama3-v4",
"tokens_in": 512,
"tokens_out": 384,
"latency_ms": 11.2,
"cost_usd": 0.00038
}Built on
Dedicated GPU nodes with hardware-level tenant isolation
Region-pinned routing for data residency compliance
Private model serving within your VPC-peered environment
Isolated namespaces with per-tenant access controls
LLM Fine-Tuning
Adapt foundation models to your domain — faster and cheaper.
Production Inference
Serve any LLM to millions of users at sub-10 ms TTFT.
RAG Pipelines
Ground your LLMs in real knowledge at billion-document scale.
AI for Startups
Move fast, iterate daily — without a dedicated MLOps team.
Batch & Offline AI
Process millions of records overnight — at the lowest cost per token.
CogniCloud is in active development. Join the waitlist to get early access and stay updated on our roadmap. No pricing yet — we'll work with each team to find the right fit.
No spam. No pricing pitches. We reach out personally to discuss your use case.