| What it does | Production infrastructure for AI applications with observability, governance, and multi-model support
| Managed Apache Iceberg tables and hosted agents for AI to work with data
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| ES
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| Pricing model | Not given
| Freemium
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| Pricing | 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.
| Storage €0.10 per GB-month (5 GB free monthly), Compute €0.12 per CPU-hour (10 CPU-hours free monthly), AI tokens €2.50 per million (5 million free monthly). No request, ingress or egress fees.
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| Key features | - 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
| - Managed Apache Iceberg tables with automatic maintenance and backups
- Multiple data ingestion methods including files, APIs, webhooks, and scheduled URLs
- Query with DuckDB, Spark, Trino, Polars, or PyIceberg
- Public data catalogs served over a CDN
- Automatic spatial clustering for geometry tables
- FTP, FTPS and SFTP support for file uploads from cameras and devices
- Corporate sign-in and granular access control for organizations
- Audit trail and activity log for organizational use
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| What makes it different | - 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
| - Open table format: Apache Iceberg ensures your data remains portable and readable by any compatible engine
- Agents keep what they observe, decide and do as persistent tables for learning across runs
- Operated in Europe with data storage in Frankfurt and model inference in Paris
- Pay only for what you use with no request, ingress or egress fees
- Serverless platform with no servers or clusters to manage
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 12 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 6 | 2 |
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| Citation Flow (Majestic) | 20 | 26 |
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| Referring domains (Majestic) | 22 | 32 |
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Seclai
LakehouseBox