AI Model Orchestration

Harness the collective intelligence of 21+ leading AI models to ensure comprehensive, reliable, and diverse strategic insights. By orchestrating an ensemble of models—including mixture of experts architectures—we ensure that each query benefits from both breadth and depth of analysis.

Why Multiple AI Models Matter

Each AI model has unique strengths, biases, and knowledge. By orchestrating multiple models, we capture diverse perspectives and reduce the risk of missing critical insights.

Single Model Limitations
  • • Training data biases
  • • Knowledge cutoff dates
  • • Architectural limitations
  • • Domain-specific weaknesses
  • • Potential blind spots
Multi-Model Strength
  • • Diverse analytical perspectives
  • • Complementary knowledge bases
  • • Bias mitigation through diversity
  • • Comprehensive coverage
  • • Enhanced reliability
Strategic Advantage
  • • Higher convergence insights
  • • Reduced analysis risk
  • • Comprehensive signal coverage
  • • Balanced perspectives
  • • Future-proofed approach

Signal Generation Models

The diverse AI models that power our signal generation phase, each contributing unique strengths and perspectives to ensure comprehensive strategic analysis.

OpenAI
GPT-5 Mini
OpenAI
Anthropic
Claude Sonnet 4
Anthropic
Mistral
Mistral Large
Mistral
OpenAI
GPT-4.1
OpenAI
OpenAI
o4 Mini
OpenAI
OpenAI
o3 Mini
OpenAI
OpenAI
GPT-4o
OpenAI
Google
Gemini 2.5 Pro
Google
Anthropic
Claude 3.7 Sonnet
Anthropic
Mistral
Mistral Medium 3
Mistral
Perplexity
Sonar Pro
Perplexity
DeepSeek
DeepSeek Chat V3
DeepSeek
Google
Gemini 2.5 Flash
Google
MoonshotAI
Kimi K2
MoonshotAI
xAI
Grok 3
xAI
xAI
Grok 4
xAI
Meta
Llama 4 Maverick
Meta
Alibaba
Qwen Plus
Alibaba

Model Selection & Orchestration

Our platform intelligently selects and coordinates models based on scan requirements, ensuring optimal coverage and analytical depth. We use multi-sampling techniques to query each model multiple times, capturing a wider range of plausible signals and reducing variance.

Step 1
Selection Criteria
  • • Scan type requirements
  • • Regional focus needs
  • • Industry specialization
  • • Grounding requirements
  • • Performance characteristics
Step 2
Parallel Execution
  • • Simultaneous model queries
  • • Optimized prompt delivery
  • • Error handling & retry logic
  • • Performance monitoring
  • • Resource management
Step 3
Quality Control
  • • Response validation
  • • Format consistency
  • • Content quality checks
  • • Error rate monitoring
  • • Performance benchmarking
Step 4
Result Integration
  • • Signal consolidation
  • • Provider attribution
  • • Metadata preservation
  • • Performance tracking
  • • Data pipeline handoff

Provider Ecosystem

We partner with leading AI providers to ensure access to the most advanced models and continuous innovation in our analytical capabilities.

OpenAI
OpenAI
5 models
Models:
  • GPT-5 Mini(August 2025)
  • o4 Mini(April 2025)
  • GPT-4.1(April 2025)
  • o3 Mini(January 2025)
  • GPT-4o(May 2024)
Anthropic
Anthropic
3 models
Models:
  • Claude Sonnet 4(May 2025)
  • Claude Opus 4(May 2025)
  • Claude 3.7 Sonnet(February 2025)
Mistral
Mistral
3 models
Models:
  • Mistral Large(July 2025)
  • Mistral Medium 3(May 2025)
  • Mistral Small 3.1 (March 2025)
Perplexity
Perplexity
2 models
Models:
  • Sonar Deep Research(February 2025)
  • Sonar Pro(January 2025)
DeepSeek
DeepSeek
1 model
Models:
  • DeepSeek Chat V3(December 2024)
xAI
xAI
2 models
Models:
  • Grok 4(July 2025)
  • Grok 3(February 2025)
Google
Google
2 models
Models:
  • Gemini 2.5 Pro(June 2025)
  • Gemini 2.5 Flash(May 2025)
Meta
Meta
1 model
Models:
  • Llama 4 Maverick(April 2025)
Alibaba
Alibaba
1 model
Models:
  • Qwen Plus(April 2025)
MoonshotAI
MoonshotAI
1 model
Models:
  • Kimi K2(July 2025)

Technical Implementation

Model Management
  • • Dynamic model initialization
  • • Connection pooling and reuse
  • • Rate limiting and throttling
  • • Provider failover handling
  • • Performance optimization
Orchestration
  • • Asynchronous parallel execution
  • • Intelligent prompt routing
  • • Response aggregation
  • • Error recovery mechanisms
  • • Progress tracking and reporting
Quality Assurance
  • • Response validation pipelines
  • • Content quality scoring
  • • Bias detection and mitigation
  • • Performance benchmarking
  • • Continuous monitoring

Model Filter Criteria

Live table showing which models match each filter criteria used in signal generation. Click any column header to sort by that criteria. This helps you understand the privacy and capability characteristics of each model.

Open Weights

Models with open weights have their model parameters publicly available, allowing for transparency, auditability, and independent verification of their capabilities and limitations.

Grounding

Grounded models can access real-time information from the web, enabling them to provide up-to-date, fact-checked responses based on current events and recent developments.

Do Not Train

Providers that do not train on user data ensure that your inputs are not used to improve their models, protecting your intellectual property and maintaining data confidentiality.

Do Not Log

Providers that do not log prompts ensure that your queries and conversations are not stored or analyzed, providing maximum privacy for your strategic discussions and sensitive inquiries.

Model Filter Overview
21 total models across 10 providers • Sorted by Release Date (Z-A)
Model
Provider
Open Weights
Grounding
Do Not Train
Do Not Log
Release Date
OpenAI
GPT-5 Mini
OpenAI
August 2025
Mistral
Mistral Large
Mistral
July 2025
MoonshotAI
Kimi K2
MoonshotAI
July 2025
xAI
Grok 4
xAI
July 2025
Google
Gemini 2.5 Pro
Google
June 2025
Anthropic
Claude Sonnet 4
Anthropic
May 2025
Anthropic
Claude Opus 4
Anthropic
May 2025
Google
Gemini 2.5 Flash
Google
May 2025
Mistral
Mistral Medium 3
Mistral
May 2025
Alibaba
Qwen Plus
Alibaba
April 2025
OpenAI
o4 Mini
OpenAI
April 2025
OpenAI
GPT-4.1
OpenAI
April 2025
Meta
Llama 4 Maverick
Meta
April 2025
Mistral
Mistral Small 3.1
Mistral
March 2025
Perplexity
Sonar Deep Research
Perplexity
February 2025
Anthropic
Claude 3.7 Sonnet
Anthropic
February 2025
xAI
Grok 3
xAI
February 2025
OpenAI
o3 Mini
OpenAI
January 2025
Perplexity
Sonar Pro
Perplexity
January 2025
DeepSeek
DeepSeek Chat V3
DeepSeek
December 2024
OpenAI
GPT-4o
OpenAI
May 2024

Experience Multi-Model Intelligence

See how our diverse AI model portfolio delivers comprehensive, reliable strategic insights through intelligent orchestration.