| What it does | The confidential agentic stack for defense, finance, and regulated teams
| Production infrastructure for AI applications with observability, governance, and multi-model support
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | US
| Not given
|
|---|
| Pricing model | Freemium
| Not given
|
|---|
| Pricing | Pay as you go: from $20 prepaid credits, provider cost plus 10% markup, $25 increments. Team: $1,200/seat/year (5-seat minimum). Enterprise Sovereign: $2,400/seat/year. Sovereign Government: custom pricing. Blackbit add-on: $4,999/named operator/month (2-operator minimum).
| Personal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits.
|
|---|
| Key features | - Confidential AI IDE (CDE) for secure coding assistance with protected repositories and terminals
- Confidential LLM Gateway with access to hundreds of models through governed interface
- Hardware-protected sandboxed environments for code and agent execution
- Cryptographic attestation and audit trails for workload verification
- Agents SDK for private agent execution with controlled tool access
- Support for private, restricted, and air-gapped deployments
- Trusted Execution Environment (TEE) models on sovereign infrastructure
- SSO and RBAC for enterprise access control
- Blackbit autonomous security agent for agentic cyber tasks
| - Step-level observability with traces showing status, latency, credits, and governance for every step
- Natural-language governance policies with flag and block thresholds
- Model portability: swap 200+ models at any time without code changes
- Automatic content ingestion and vector database indexing for RAG
- Persistent memory banks for conversation context
- Cost tracking per model, agent, and step with credit-based pricing
- Structured output validation ensuring quality responses
- HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
- ML-based prompt scanner blocking injection attacks in real time
- Evaluation framework with evals that run locally, in CI, and in production
|
|---|
| What makes it different | - Hardware-backed isolation and attestation replacing traditional policy-based security
- Zero-retention model ensuring code stays within protected environments
- Verifiable execution with audit trails for compliance and security verification
- Flexible deployment from self-serve credits to sovereign air-gapped environments
| - All production LLM features unified in one runtime with no orchestration stack to assemble
- Local development environment matches production exactly for debugging and verification
- Swap between 200+ models without changing code or workflow logic
- Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
- Transparent credit-based pricing where all operations consume predictable, tracked credits
|
|---|
| Free plan | Not given
| Not given
|
|---|
| Open source | Not given
| Not given
|
|---|
| Platforms | Not given
| Not given
|
|---|
| Public API | Not given
| Not given
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 28 ● no change since last check | 8 ▼ −1 (down) since last check |
|---|
| Trust Flow (Majestic) | 19 | 6 |
|---|
| Citation Flow (Majestic) | 32 | 20 |
|---|
| Referring domains (Majestic) | 300 | 22 |
|---|
Orgn
Seclai