BaseSSM is an AI orchestration platform that queries multiple AI models simultaneously and uses statistical consensus (Inverse Variance Weighting) to deliver verified answers with measurable confidence scores. It eliminates AI hallucinations by cross-verifying responses across 170+ foundation models.

How does BaseSSM eliminate AI hallucinations?

BaseSSM applies scientific meta-analysis methodology to AI responses. When you ask a question, it queries multiple AI models in parallel, then uses DerSimonian-Laird heterogeneity testing to measure agreement. Disagreements are flagged, consensus is quantified, and every response includes a confidence score (0-100%).

What AI models does BaseSSM use?

BaseSSM orchestrates 170+ foundation models including Claude (Anthropic), GPT-4 (OpenAI), Llama (Meta), Mistral, Amazon Titan, Cohere Command, and AI21 Jamba. The platform automatically selects optimal models based on task requirements.

What are the domain agents in BaseSSM?

BaseSSM has 4 specialized domain agents: (1) Supervisor Agent for task routing and coordination, (2) Reasoning Agent for architecture and causal analysis, (3) Creative Agent for design and growth strategy, and (4) Analytics Agent for statistical analysis and forecasting.

How is the confidence score calculated?

Confidence scores use Inverse Variance Weighting (IVW) methodology from clinical meta-analysis. Each model response is weighted by its precision, combined estimates are calculated, and heterogeneity is measured using Cochran's Q and I-squared statistics. Higher consensus = higher confidence.

Is BaseSSM available for enterprise use?

Yes, BaseSSM is built for enterprise use with SOC-2 compliance, GDPR compliance, private deployment options, and audit trails. Contact us for enterprise pricing and deployment options.

How do I get access to BaseSSM?

BaseSSM is currently in private beta. Visit www.basessm.com and click "Request Early Access" to join the waitlist. We review applications and grant access to qualified users.

What makes BaseSSM different from ChatGPT or Claude?

Standard AI assistants use a single model that can hallucinate 15-30% of the time with no verification. BaseSSM uses multiple models with statistical consensus, so every answer comes with a measurable confidence score. You know when to trust the response.

Comparison

BaseSSM vs Claude

Claude by Anthropic is known for safety and large context windows, but uses a single model with no built-in verification. BaseSSM orchestrates 170+ AI models including Claude itself, applying statistical consensus (IVW) for verified answers with confidence scores.

Feature Comparison

Feature	BaseSSM	Claude
AI Models Used	170+ foundation models	1 (Claude 3.5/Opus)
Consensus Verification	Yes — IVW meta-analysis	No
Confidence Score	Yes (0–100%)	No
Disagreement Detection	DerSimonian-Laird	None
Domain Expert Agents	4 specialized agents	Projects (workspaces)
Hallucination Rate	Reduced via consensus	~10–20% (estimated)
Context Window	Varies by model	200K tokens
Voice Input/Output
File Upload
Artifacts/Code Execution	Via agents	Yes (Artifacts)
Statistical Meta-Analysis
Enterprise Compliance	GDPR, SOC-2	SOC-2, HIPAA
Pricing	Free (Beta)	Free / $20/mo (Pro)

When to Choose BaseSSM

You need statistically verified answers with measurable confidence
Critical enterprise decisions where hallucination risk must be quantified
Multi-domain tasks requiring specialized agent routing
You want the best of Claude AND 169+ other models combined

When to Choose Claude

You need a 200K token context window for very long documents
You prefer the Artifacts feature for code and document creation
Casual use where consensus verification is not required
You need HIPAA compliance specifically

Try verified AI answers

Get the consensus of 170+ models — including Claude — with measurable confidence.

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