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 Perplexity AI

Perplexity AI is an AI-powered search engine that uses Retrieval-Augmented Generation (RAG) to ground answers in web sources. BaseSSM takes a fundamentally different approach: it orchestrates 170+ AI models and uses statistical consensus (IVW) to verify answers mathematically, providing confidence scores rather than web citations.

Feature Comparison

Feature	BaseSSM	Perplexity AI
Primary Approach	Multi-model consensus (OLM)	AI search + RAG
AI Models Used	170+ foundation models	Multiple (proprietary mix)
Consensus Verification	Yes — IVW meta-analysis	No (RAG, not consensus)
Confidence Score	Yes (0–100%)	No
Web Search	No (model knowledge)	Yes (real-time)
Source Citations	Model attribution	Web URLs
Domain Expert Agents	4 specialized agents	Focus modes
Hallucination Prevention	Statistical consensus	Source grounding
Voice Input/Output
File Upload
Statistical Meta-Analysis
Enterprise Compliance	GDPR, SOC-2	SOC-2
Pricing	Free (Beta)	Free / $20/mo (Pro)

Different Approaches to Accuracy

BaseSSM: Statistical Consensus

Queries multiple AI models independently, then applies Inverse Variance Weighting (IVW) to measure agreement. Every answer comes with a mathematically derived confidence score (0–100%).

Best for: Enterprise decisions, technical analysis, research synthesis where statistical evidence of reliability matters.

Perplexity: Source Grounding

Searches the web in real-time using RAG, then synthesizes answers with inline citations to web sources. Accuracy depends on the quality and recency of retrieved web sources.

Best for: Current events, web research, finding specific information with source links.

Try verified AI answers

Get mathematically verified answers with confidence scores from 170+ AI models.

Request Early Access