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 ChatGPT

ChatGPT uses a single GPT model to generate answers with no built-in verification. BaseSSM orchestrates 170+ AI models with statistical consensus (Inverse Variance Weighting) to deliver verified answers with measurable confidence scores. Here is a detailed comparison.

Feature Comparison

Feature	BaseSSM	ChatGPT
AI Models Used	170+ foundation models	1 (GPT-4/4o)
Consensus Verification	Yes — IVW meta-analysis	No
Confidence Score	Yes (0–100%)	No
Disagreement Detection	DerSimonian-Laird	None
Domain Expert Agents	4 specialized agents	Custom GPTs (user-created)
Hallucination Rate	Reduced via consensus	15–30% (estimated)
Source Attribution	Full model transparency	Limited
Voice Input/Output
File Upload
Real-time Streaming	SSE + WebSocket	SSE
Statistical Meta-Analysis
Enterprise Compliance	GDPR, SOC-2	SOC-2, GDPR
Pricing	Free (Beta)	Free / $20/mo (Plus)

When to Choose BaseSSM

You need verified, trustworthy answers with measurable confidence
Critical decisions where hallucination risk must be minimized
Enterprise use requiring statistical evidence of answer reliability
Cross-domain tasks benefiting from specialized domain agents

When to Choose ChatGPT

Casual conversations and brainstorming where accuracy is less critical
You already have a ChatGPT Plus subscription
You need the GPT Store ecosystem and custom GPTs
Tasks where a single perspective is sufficient

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