Future AGI vs UltiHash

Generate personas, scenarios and synthetic datasets to stress-test text and voice agents across many conversation branches before launch.

Combine always-free heuristic metrics, code evaluators and LLM-as-judge scoring, including agentic evaluators that localise errors in RAG and tool calls.

Route traffic across 15+ LLM providers with load balancing, failover and caching, plus 15 built-in rule-based guardrails and ML content moderation.

End-to-end traces, sessions, agent graphs, custom dashboards and alert monitors give real-time visibility into production behaviour.

Optimized throughput keeps GPUs and TPUs fed during training and inference so compute is not wasted on I/O bottlenecks.

Binary-level deduplication detects duplicate byte strings and versions, lowering the total cost of ownership for large datasets.

Drop into existing pipelines without changing your stack, working with Parquet, Iceberg and standard S3 tools.

Choose a managed serverless service hosted in EU Tier 1 datacenters, or deploy the Kubernetes-native Self-Hosted edition anywhere.