How does multi-model decision review work?

Four top-ranked AI models analyse each question independently, then engage in a structured debate, challenging each other's reasoning through multiple rounds. A synthesis engine distils their arguments into a single structured assessment with confidence scores and dissent tracking.

Which AI models does Conclavik use?

Four top-ranked AI models analyse each question independently, selected by benchmark performance, not brand.

How long does an analysis take?

5-15 minutes depending on complexity.

Yes. AES-256 encryption at rest, TLS in transit, EU-hosted, GDPR compliant. Ephemeral mode available.

Conclavik

Under the hood

Full transparency on how your analysis is produced, from model selection to final assessment.

Step 01

Four Distinct AI Perspectives

Every analysis uses the top-ranked model from each of four distinct AI providers, all with extended thinking enabled at maximum capacity. Each model brings different training data, reasoning patterns, and blind spots, ensuring genuine diversity of thought rather than echoes of the same source.

Deep Reasoning

Models selected for nuanced analysis and careful chain-of-thought logic

Broad Knowledge

Models with the widest training data for comprehensive coverage

Scientific Rigor

Models that excel at data-driven analysis and factual precision

Contrarian Thinking

Models that challenge assumptions and surface unconventional perspectives

Step 02

Domain-Adaptive Scoring

Your question is automatically classified by domain: finance, legal, technical, or general. Benchmark weights shift to match: financial analysis prioritises real-world analytical accuracy, while technical questions emphasise deep scientific reasoning. No configuration needed.

Analytical Accuracy

Knowledge work performance: measures practical accuracy in business, finance, and professional contexts. Primary weight for financial and strategic analysis.

Deep Reasoning

Graduate-level reasoning: tests deep analytical thinking across science, law, and economics. Primary weight for technical and scientific questions.

Step 03

Data Jurisdiction Control

You control which regions process your data. Before each analysis, toggle jurisdictions on or off. Models are selected automatically from the highest-ranked performers within your allowed jurisdictions.

🇺🇸

United States

4 top-ranked AI providers

🇪🇺

European Unioncoming soon

EU-hosted providers

🇨🇳

Chinacoming soon

CN-hosted providers

All provider connections use TLS 1.3 encryption. Query data is encrypted at rest with AES-256 regardless of jurisdiction. The jurisdiction filter is a preference tool. Clients requiring strict data residency guarantees should contact us for dedicated deployments.

Step 04

Intelligent Process Selection

Our routing engine analyses your question and selects the optimal methodology: deep multi-model challenge for high-stakes decisions, iterative convergence for open-ended research. Model selection is weighted by domain-specific benchmarks to match the strongest panel to your question.

Stress Test

Structured debate across multiple rounds. Models challenge, cross-examine, and pressure-test each other's reasoning on complex questions.

e.g. "How does the EU AI Act affect our product roadmap?"

Deep Stress Test

Multiple rounds of structured cross-examination and challenge. Every assumption is attacked, defended, and stress-tested before the final assessment.

e.g. "Should we acquire Company X at 8× EBITDA?"

Convergence

Models deliberate in successive rounds until they reach genuine agreement. Surfaces the strongest shared conclusions rather than artificial debate.

e.g. "What is the consensus outlook for European defense stocks?"

Step 05

Built to Break

Only conclusions that survive structured scrutiny make it into your report. Models don't collaborate; they compete, challenge, and try to break each other's reasoning. What remains is what holds up.

No Groupthink

Every model forms its position independently before seeing anyone else's. No anchoring, no conformity bias.

Assumptions Attacked

Models actively look for flaws, contradictions, and unsupported claims in each other's reasoning. Weak arguments don't survive.

Dissent Preserved

When models disagree, their concerns are captured as structured risk flags with severity ratings. You see exactly what's contested, by whom, and how serious it is, not a false consensus.

Structured Output

What survives is synthesized into a structured assessment, with agreement levels, key risks, and the specific points of consensus and dissent across the panel. The AI red-teams. You decide.

Automatic Model Selection

How Models Are Selected

Conclavik automatically selects the highest-performing AI models based on independent benchmarks. Every day, our system evaluates model rankings across multiple performance dimensions and selects the top performers for each data jurisdiction.

Continuous Improvement

Our daily benchmark refresh automatically detects when new models enter the top rankings. As new providers become available, they're added to the pool, always ranked by objective performance, never by commercial agreements.

Your data is protected by enterprise-grade security.

Learn about our security practices →

See it in action

See how multi-model second-opinion transforms your decision-making.

Try It →