| What it does | Budget-first AI cost metering proxy for any stack
| Private AI inference and confidential GPU computing infrastructure
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| Stage | Startup
| Not given
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| Founded | 2025
| Not given
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| Based in | CA
| US
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| Pricing model | Freemium
| Paid
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| Pricing | Free: $0/month with 100 API calls/month, 1 seat, basic analytics, 30-day retention. Pro: $49/month with unlimited API calls, 5 seats, full analytics, hard spending caps, 90-day retention.
| 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
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| Key features | - Real-time cost tracking with per-model and per-tag breakdowns
- Budget alerts via email, Slack, or Teams at configurable thresholds
- Hard spending caps that block requests with 429 response
- Rate limiting with sliding window per API key
- Support for 9 LLM providers and 60+ models
- Analytics dashboard with daily spend charts and latency metrics
- Works with any programming language via HTTP proxy
- AES-256 encryption for provider API keys with BYOK model
- 90-day data retention on Pro plan
- Tag-based cost attribution by team, feature, or customer
| - 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
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| What makes it different | - Minimal 31ms proxy overhead, only 3.6% latency impact on typical calls
- No SDKs required, works with any HTTP client out of the box
- Never stores prompts or completions, only billing metadata
- Hard spending caps enforced by Redis to prevent overspend
| - 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
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 28 ● no change since last check | 12 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 5 | 7 |
| Citation Flow (Majestic) | 19 | 26 |
| Referring domains (Majestic) | 69 | 36 |