Expertiseforsensitive,high-valuedecisions.
We curate and merge real-world expertise and knowledge to provide unrivalled advice.
AI is already influencing
your business
Teams are using AI to shape their thinking and make decisions that are vulnerable to:
Hallucinations
Fabricated facts presented as truth
Model Bias
Systemic skew from training data
Limited Challenge
No adversarial stress-testing
Confirmation Bias
Reinforcing existing beliefs
Group Think
Single-model echo chambers
Making AI better
We orchestrate multiple models to emulate real-world thinking, so that AI-generated responses are more:
Pluralistic
Multiple perspectives from diverse expert agents across different models
Accurate
Consensus-driven verification eliminates single points of failure
Comprehensive
Deep research across the full breadth of a topic
Trustworthy
Transparent provenance with confidence and alignment scores
Insightful
Actionable intelligence, not just information retrieval
Four steps to trusted advice
Configure
Define your topic, knowledge depth, and expert polarity
Assemble
Expert agents are selected across multiple leading models
Debate
Agents research, challenge, and stress-test one another
Advise
A unified advisory with combined expertise is formed
Measurably better
Per-response comparison: “How will the appointment of Kevin Warsh as FED Chair change the composition of the FED's balance sheet?”
Built for your most
sensitive decisions
Real expertise,
always on call
AssembleAI doesn't just orchestrate language models — it draws on AI Twins built from real professionals. Domain experts create digital replicas of their knowledge, which enterprise teams can query on demand.
Every Twin is privacy-scrubbed, expert-approved, and compensated per query. It's a marketplace where knowledge meets scale.
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Twin is built locally
PII is scrubbed on your device before anything leaves your machine.
Enterprise queries it
Your Twin joins advisory teams alongside leading AI models.
You earn per query
Set your rate. Track earnings. Get paid for what your Twin knows.
All leading models supported
Why this works
Our approach is grounded in decades of decision science research.
Structured aggregation of diverse opinions reduces decision error by ~49% vs individual or crowd averages.
Aggregating intuitive and analytical judgments improves estimation accuracy beyond homogeneous judgments.
Cognitively diverse groups consistently outperform homogeneous 'best-expert' groups in complex decision spaces.
Disagreeing perspectives boost aggregate accuracy on difficult tasks.
~49%
reduction in decision error through structured aggregation of diverse opinions
Ready to make
better decisions?
See how agentic advisory can transform your most critical analysis.