The governed evidence and state layer for enterprise AI
Private AI inference and confidential GPU computing infrastructure
Stage
Not given
Not given
Founded
Not given
Not given
Based in
AU
US
Pricing model
Freemium
Paid
Pricing
Not given
Confidential Inference: DeepSeek V4.1 Flash $0.30 input and $1.20 output per 1M tokens; Kimi K3 $3.00 input and $15.00 output per 1M tokens; GLM 5.3 $1.40 input and $4.40 output per 1M tokens; Qwen3.8 27B $0.30 input and $1.80 output per 1M tokens. Confidential VMs: B300 at $7.50 per GPU-hour, B200
Key features
Drop in text, JSON or log files up to 32 KB
Single-use trial with no account required
API access with read and write scoped keys
Timeline evidence and state change tracking
OpenAI-compatible endpoint for private LLM inference
Hardware-encrypted VMs on Intel TDX, AMD SEV-SNP and NVIDIA GPUs
Client attestation verification before sending requests
Support for multiple open-weight models including DeepSeek, Kimi, GLM, Qwen
Confidential Kubernetes for data center scale deployments
Confidential training and fine-tuning on licensed stack
Root access over SSH to confidential VMs
Encrypted GPU communications with NVLink encryption on B200 and B300
Confidential agents runtime support
Prompt caching with cached input billing
What makes it different
Source-backed proof IDs for every fact
Separates what happened from what was known at the time
Explicit contradictions and missing evidence in Context Packs
Free trial with 1 GB storage and 1,000 events/sec capacity
Prompts and model weights verified by clients with cryptographic attestation before any data is sent
Operator-blind inference: data remains unreadable to the company and hosting provider
Flexible deployment: choice of hosted cloud, rented VMs, or licensed stack on own infrastructure
Open-weight models only, no closed-source frontier models
Full cryptographic verification stack including open-source tools
Jylus
Confidential AI