Meibel

Meibel provides an AI orchestration platform for building, running, and scaling explainable AI experiences with context, control, and confidence. The platform features Adaptive Data Ingest that unifies structured, semi-structured, and unstructured sources, deduplicating and inferring schema while tracking data freshness. Its Workflow and Agent Control provides runtime governance through Structured Orchestration that routes decisions along optimal paths to balance performance, reliability, and cost, with MCP tool execution and deterministic execution paths. Runtime Confidence Scoring evaluates every output across calibrated dimensions including correctness, coherence, grounding, and usability, determining whether to return, enrich, switch models, or escalate for review. The platform integrates with any AI model, data source, and environment including cloud, hybrid, and on-premise deployments. Use cases include automated contract summarization with 80-90% of routine summaries handled automatically, intelligent document extraction for quoting and compliance with 95% of structured fields extracted without manual review, and AI-based foresight platforms. Founded in 2024 and headquartered in Mclean, United States, the company has raised $7.0M in Seed funding from investors including Mosaic General Partnership, Array Ventures, and Cofounders Capital.

AI Infrastructure > Enabling Technologies > Software > ML Orchestration