The decisions that demand multi-disciplinary expertise and deep deliberation remain beyond the reach of conventional AI. We built the technology to change that.
Each harness is built through three layers — capturing the right expertise, algorithmically selecting the optimal combination, and deploying it within a secure orchestration framework tailored to your decision context.
Proprietary agents build living representations of human expertise — your decision-makers, domain specialists, and curated archetypes. Not profiles. Not fine-tuning. Knowledge architectures that encode reasoning patterns, decision heuristics, and domain intuition.
Our algorithms analyse model behaviour at the probability level to determine which combination of captured intelligence produces the most reliable deliberation for your specific decision context. The layer no frontier lab can replicate.
Assembled expertise deploys into a bespoke decision harness within your infrastructure, using your existing LLM agreements. It fuses perspectives, synthesises across viewpoints, and produces transparent outputs with full provenance — auditable, stress-testable, and defensible. We never access your data.
Assemble a synthetic version of an existing decision body from twinned members and domain archetypes, and run it before the live meeting. The gap between synthetic and live decisions becomes the diagnostic: where the committee is strong, where it’s blind, and where expertise is missing.
Synthetic IC run ahead of live meetings to identify blind spots and misalignment before capital is committed.
Synthetic board discussion before live meetings — chairs receive the summary to sharpen the agenda.
Replicate asset-liability deliberations integrating longevity, climate, and macroeconomic perspectives.
Replicate key decision-makers for high-profile interventions with cross-jurisdiction perspectives.
A focused sprint. Our decision scientists map your highest-value decision processes, identify where assembled intelligence creates the greatest leverage, and align on priority use cases with your team.
We configure our capture, combine, and deploy stack for your agreed use cases — calibrated to your people, your decision structures, your security requirements, and your existing LLM agreements.
Every day, organisations convene committees, boards, and advisory panels for decisions that demand diverse expertise and rigorous challenge. These are the decisions that matter most — and they remain almost entirely unaugmented.
Investment committees, board deliberations, policy reviews — your most consequential decisions still rely entirely on costly, time-constrained human processes.
Enterprise AI agreements deliver one perspective from one model. For decisions requiring multi-disciplinary deliberation, this produces unreliable and unchallenged outputs.
The right combination of knowledge, experience, and perspective is rarely available when and where critical decisions are made.
Without structured adversarial review, cognitive biases, blind spots, and groupthink persist through approval processes unchecked.
Our approach is built on decades of research into collective intelligence and structured disagreement.
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.
All leading models supported
Deployed within your infrastructure, using your existing API agreements
See assembled intelligence in action — explore a live instance of our orchestration engine.