Grounded by default
PropensityAI answers only when it can point to supporting evidence. Otherwise it flags uncertainty and suggests what to check next.
LLM-powered search • grounded answers • citations
PropensityAI combines retrieval + reasoning to deliver concise, cited results across web, docs, and media — built with privacy-first defaults and no training on your private queries or uploads.
Not “chat with the internet” — a search product built for verification, speed, and control.
PropensityAI answers only when it can point to supporting evidence. Otherwise it flags uncertainty and suggests what to check next.
Every key claim maps to a source — documents, pages, transcripts, timestamps, or paper sections — so users can verify instantly.
Search across text, images, audio, video, and research papers in one interface — then get one clean, cited answer.
Your content stays yours. PropensityAI is built to support secure deployments and does not train foundation models on your private queries or uploaded files.
Client-side mock that shows the PropensityAI experience: answer + citations.
A simple, reliable pipeline: retrieve → reason → cite → guardrail.
PropensityAI pulls relevant passages from your docs, sites, or knowledge base.
The model synthesizes the passages into a concise, structured answer.
Every key claim is linked to a source. Unsafe or uncertain outputs are flagged.
Role-based access, audit trails, and source controls for enterprise workflows.
Minimal interface that feels like search, but answers like an assistant.
Multimodal search + analysis across content formats, with grounded answers.
Extract meaning from screenshots, diagrams, UI mockups, and photos — then answer with evidence.
Find the best video segments, summarize key points, and cite timestamps as sources.
Turn meetings, calls, or podcasts into searchable insights with summaries and action items.
Search across scenes and spoken content. Pull clips, summaries, and citations by time range.
Ask questions across PDFs and citations. Compare methods, results, and limitations quickly.
PropensityAI answers only when it can point to supporting sources — otherwise it flags uncertainty.
On-prem AI appliances
Own the model, own the hardware, own your data — with turnkey systems that run entirely inside your infrastructure.
Designed for companies and organizations that refuse to compromise on data privacy, these pre-configured, air-gapped systems put powerful large language models directly into your hands on dedicated hardware.
A general-purpose 110-billion-parameter LLM for confidential internal assistants, sensitive document processing, and data-sovereign workflows.
A coding-focused model for development acceleration, code review, debugging, refactoring, and complex engineering automation.
A reasoning specialist for science, math, research, quantitative analysis, and rigorous problem-solving without exposing IP.
For hosted search, grounded answers, citations, and multimodal analysis in the PropensityAI web platform.
For individual web search and file analysis.
For teams using PropensityAI with shared docs and connectors.
For secure web platform deployments, VPC, and governance.
Quick answers about PropensityAI, sources, and multimodal workflows.
Want PropensityAI on your knowledge base or a fully local LLM appliance? Let’s talk.