Empowering Enterprise Decision Making
Using AI to give you a richer, more diverse and statistically robust analysis that you can trust
1
Pick your topic, knowledge depth and expert polarity
2
Multiple experts, across multiple models, are selected
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They research and debate one another
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A Super Expert - with a combined expertise - is formed
Our platform builds a multi-agent statistical ensemble around your decisions. By leveraging multiple AI models with multiple expert reasoning paths, uncertainty is minimised and reliability is boosted.
Structured aggregation of diverse opinions reduces decision error by ~49% vs individual or crowd averages. (Navajas et al., Nature Human Behaviour)
All leading models supported
Trusted expertise made cheaper and on demand
| Capability | AssembleAI | Gemini 3 Pro | OpenAI Deep Research |
|---|---|---|---|
| Transparency | |||
| Confidence Scores | Ensemble confidence breakdown | — | Basic internal metrics |
| Alignment Scores | Expert-alignment scoring | — | — |
| Knowledge Strength Scores | Weighted RAG similarity per expert | — | — |
| Explainability | Chunk-level provenance | — | Partial trace |
| Trust | |||
| Real-Time Fact Checking | Expert debate verification | — | Internal checks |
| Hallucination Control | Consensus + retrieval grounding | — | Strong internal systems |
| Reasoning | |||
| Multi-Step Reasoning | Ensemble multi-step debate | — | Multi-stage pipeline |
| Multi-Parallel Perspectives | Independent expert agents | — | — |
| Cross-LLM Capability | Multiple models per expert | — | — |
| Knowledge | |||
| Tools / APIs | Agentic tool router | ||
| Expert Twin Creation | — | — | |