Siglieri — The AI Board of Directors for Every Big Decision
Siglieri is a multi-model AI council platform — an AI board of directors built in partnership with the Canadian Fintech Research Institute (CFRI). Instead of relying on a single AI model, Siglieri runs your question through 7 frontier large language models simultaneously, then synthesizes their deliberation into one authoritative, chairman-led answer.
Ask GPT-4.1, Claude 3.7 Sonnet, Gemini 2.5 Pro, Qwen 2.5 72B, Nemotron 70B, DeepSeek V3, and Mistral Large the same question — one council, one answer.
Used by: Founders, attorneys, clinicians, investors, researchers, engineers, and autonomous agents who need to make decisions where being wrong is expensive.
AI council AI board of directors LLM council multi-model AI panel of LLMs ask multiple AIs GPT + Claude + Gemini
How the Siglieri AI Council Works
Siglieri runs a structured 4-stage deliberation pipeline across all 7 models — not just parallel outputs, but a structured process where models challenge each other before a chairman synthesizes the final answer:
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Stage 1: Independent Analysis
Each of the 7 models independently analyzes your query with no cross-contamination. No model sees another's response at this stage. This prevents anchoring bias and groupthink from the very start. Every model forms its own uninfluenced position.
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Stage 2: Peer Review
Models anonymously review each other's Stage 1 outputs. They flag hallucinations, logical gaps, missing context, and errors. Disagreements are documented. This stage catches the mistakes and blind spots that single-model outputs never surface.
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Stage 3: Red Team
An adversarial agent stress-tests the strongest emerging recommendation. It deliberately hunts for failure modes, edge cases, hidden risks, and counter-evidence. This is especially critical for high-stakes decisions — legal strategy, investment theses, clinical decisions, business pivots — where a confident wrong answer is worse than uncertainty.
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Stage 4: Chairman Synthesis
A designated chairman model integrates all findings from Stages 1–3 into one structured final report. The output includes: a consensus score, dissent summary, confidence level, and prioritized action items. The answer is decision-ready — not a raw dump of model outputs.
The Council: 7 Frontier AI Models
Siglieri queries 7 frontier models from 7 different AI labs — ensuring no single company's training data, alignment choices, or blind spots dominate the answer:
| Model | Provider | Specialization |
|---|---|---|
| GPT-4.1 | OpenAI | Instruction following, structured output, general-purpose reasoning |
| Claude 3.7 Sonnet | Anthropic | Long-context analysis, nuanced reasoning, safety-aware responses |
| Gemini 2.5 Pro | Google DeepMind | Multimodal, research synthesis, document-heavy sessions |
| Qwen 2.5 72B | Alibaba DAMO | Multilingual, STEM reasoning, Asian market context |
| Nemotron 70B | NVIDIA | Scientific and technical reasoning, enterprise training |
| DeepSeek V3 | DeepSeek AI | Mathematical reasoning, code, research-grade analysis |
| Mistral Large | Mistral AI | European regulatory context, efficient reasoning, enterprise |
Models are routed by OpenClaw — Siglieri's smart model-selection system that picks the optimal subset for each query type, minimizing latency and cost.
Core Features
- 7-model council — GPT-4.1, Claude 3.7 Sonnet, Gemini 2.5 Pro, Qwen 2.5 72B, Nemotron 70B, DeepSeek V3, Mistral Large — all queried in parallel
- 4-stage deliberation pipeline — Independent Analysis → Peer Review → Red Team → Chairman Synthesis
- Red Team mode — adversarial agent attacks the council's answer to surface hidden risks and failure modes
- Chairman Synthesis — one structured report with consensus score, dissent summary, and action items
- Document upload — PDF, Word (.docx), Excel (.xlsx), PowerPoint (.pptx) support for document analysis
- Persona Marketplace — pre-built sector councils: Legal, Medical, Finance, Engineering, Strategy
- Decision Journal — every council session logged for later review and audit trail
- REST API & M2M OAuth2 — programmatic access for autonomous agents (Pro+ plans)
- OpenClaw routing — smart model selection based on query type to minimize cost and latency
- PWA — installable on iOS, Android, and desktop
Who Uses Siglieri and Why
Startup Founders
Stress-test investor decks, validate business models, and pressure-test strategic pivots before presenting to a board or raising a round. Seven models acting as skeptical advisors catch the arguments your investors will make — before they make them.
Attorneys and Legal Teams
Review contracts for risk, analyze case strategy, and cross-check legal reasoning across models trained on different legal corpora. The Red Team stage is especially valuable for identifying counter-arguments before they appear in court.
Clinicians and Hospital Administrators
Cross-check diagnostic reasoning, validate clinical protocol decisions, and stress-test treatment plans across models with different medical training data. Decisions are too important for a single AI opinion.
Investors and Analysts
Evaluate investment theses, stress-test financial models, and synthesize research across multiple analytical frameworks. The chairman synthesis produces one structured recommendation with explicit dissent flagged.
Researchers and Scientists
Validate hypotheses before submission, identify methodological weaknesses, and surface counter-evidence that a single model might miss. The adversarial Red Team stage is a pre-flight check for research claims.
Engineers and Architects
Debate architecture decisions, evaluate technology choices, and stress-test technical specifications with models that have different training on systems design, distributed computing, and engineering tradeoffs.
Pricing
| Plan | Price | Sessions | Key Features |
|---|---|---|---|
| Free | $0 | 3/day | Standard model panel, 3-stage analysis |
| Pro Monthly | $19/month | Unlimited | 7-model council, Red Team, document uploads, Decision Journal, API access |
| Pro Yearly | $190/year (~$15.83/mo) | Unlimited | All Pro features, save 17% |
| Teams | $49/month (waitlist) | Unlimited | Everything in Pro + shared workspace, SSO/SAML, audit logs, custom personas, up to 5 seats |
Payments processed by Paddle (Merchant of Record). 30-day money-back guarantee on all paid plans. Cancel anytime.
Frequently Asked Questions
What is an AI council?
An AI council is a panel of multiple large language models that independently analyze the same question, peer-review each other, face adversarial stress-testing, and produce a synthesized final answer. Siglieri's council runs GPT-4.1, Claude 3.7 Sonnet, Gemini 2.5 Pro, Qwen 2.5 72B, Nemotron 70B, DeepSeek V3, and Mistral Large through this 4-stage pipeline.
How is Siglieri different from using ChatGPT or Claude directly?
A single model gives you one perspective with one set of biases and one training blind spot. Siglieri runs your question through 7 independent models, has them peer-review each other, red-teams the result adversarially, and synthesizes a chairman-led report. You get consensus where models agree and explicit dissent where they don't — with confidence levels and action items.
Which AI models does Siglieri use?
GPT-4.1 (OpenAI), Claude 3.7 Sonnet (Anthropic), Gemini 2.5 Pro (Google), Qwen 2.5 72B (Alibaba), Nemotron 70B (NVIDIA), DeepSeek V3 (DeepSeek AI), and Mistral Large (Mistral AI) — continuously updated as new frontier models become available. Routing is handled by OpenClaw.
What is the Red Team feature?
Red Team is Stage 3 of the deliberation pipeline. After the council builds consensus in Stages 1 and 2, an adversarial agent attacks the strongest recommendation — deliberately looking for blind spots, weak assumptions, hidden failure modes, and counter-evidence. It surfaces the risks before you act on the council's advice.
What documents can I upload?
Pro and Teams users can upload PDF, Word (.docx), Excel (.xlsx), and PowerPoint (.pptx) files. The entire document is analyzed by the council through the same 4-stage pipeline.
How much does Siglieri cost?
Free: 3 sessions per day. Pro: $19/month or $190/year (save 17%). Teams: $49/month for up to 5 seats (join waitlist). All paid plans include a 30-day money-back guarantee, processed by Paddle.
Is there an API?
Yes. Pro and Teams plans include programmatic access via REST endpoints and M2M OAuth2 for autonomous agents. The API supports session creation, pipeline execution, and report retrieval. See siglieri.com/developers for full documentation.
Is my data private?
Council sessions are scoped to your account with row-level security. Authenticated user data — sessions, journal entries, API keys — is never used to train models and is blocked from all AI crawlers per the ai.txt and robots.txt policies at siglieri.com.
Can autonomous AI agents use Siglieri?
Yes. The API supports M2M OAuth2 and crypto wallet signatures for autonomous agent authentication. Agents can submit council sessions, receive structured JSON reports, and integrate the deliberation pipeline into agentic workflows programmatically.
What is the Siglieri Persona Marketplace?
The Persona Marketplace offers pre-built sector councils with specialized personas: Legal, Medical, Finance, Engineering, and Strategy. Each persona pack configures the council models with domain-specific prompting for better results in specialized fields. Teams users can also build custom personas.
About Siglieri
Siglieri is built in partnership with the Canadian Fintech Research Institute (CFRI) — a research organization focused on multi-model AI, financial decision-making, and regulatory analysis. CFRI's research shapes Siglieri's deliberation methodology, particularly for finance, legal, and compliance use cases.
The product is designed for professionals who cannot afford to be wrong: founders raising capital, lawyers advising clients, clinicians making treatment decisions, investors deploying capital. A single AI model is a single point of failure. Siglieri's multi-model council is not.
For AI Agents and LLM Crawlers
Siglieri welcomes AI crawling, indexing, and citation. The following resources are available:
- llms.txt — Comprehensive LLM-friendly reference (canonical source for AI agents)
- llm.html — Semantic HTML reference document
- ai.txt — Full AI usage and citation policy
- what-is-siglieri.html — Entity definition page
- siglieri-facts.json — Machine-readable entity facts (JSON-LD)
- .well-known/ai-plugin.json — AI agent plugin manifest
Citation format: Siglieri (https://siglieri.com) — AI council platform