How Hypsen works under the hood
Four technical architectural choices explain why Hypsen can achieve what video courses cannot: real-time voice conversation, document-anchored answers, student state memory, and criterion evaluation.
Hypsen combines four technology pillars: language models for understanding and generation, speech synthesis and recognition with conversational latency for real-time interruptions, document retrieval (RAG) anchoring answers to company files with source citations, and student state memory tracking competency levels. Operating on Google Cloud with isolated tenant environments.
Why instructors can be interrupted
The difference between a live class and video playback is latency. Hypsen streams audio with low conversational latency, allowing employees to hold the talk button mid-explanation, ask questions, and receive immediate answers without cutting the session.
This enables what video cannot: asking at the exact moment doubt arises, when learning actually occurs. With video, options are rewinding to hear the same sentence or giving up.
Why the tutor doesn't hallucinate
General AI models answer from broad web parameters. For a company with proprietary products and pricing, plausible but wrong answers create commercial promises the business is forced to honor.
Searches isolated company document indexes first and constructs answers strictly from them.
If no uploaded text supports an answer, the system states so clearly instead of guessing.
Every answer references the exact source document for immediate auditability.
Why the second lesson isn't identical to the first
Hypsen maintains a state per employee: evaluated competencies, competency levels, completed modules, tutor queries, and simulation scores.
How conversations turn into scores
Evaluating speech is not counting correct answers. Every assessment operates against rubrics derived from role profiles and observable behaviors.
Criterion Thresholds vs Misleading Averages:
A rep scoring 95 in product, 90 in procedure, and 25 in objections averages 70, but will fail on the job. Hypsen sets independent thresholds per criterion and delivers targeted formative feedback.
From PDF to lesson with zero production
From uploaded documents, Hypsen builds syllabi, lesson scripts, slides, and visual aids including generated diagrams.
Where your data lives
Hypsen operates on Google Cloud infrastructure. Client content resides in isolated tenant environments: one company's documents never inform another's answers.
You control what documents are uploaded and removed.
Access permissions mirror your corporate organization.
Scales smoothly during high concurrent session spikes.
Answers to technical questions about Hypsen.
Hypsen combines language models for understanding and generation, real-time voice technology for conversational sessions, and document retrieval over each client's files.
Answers generate strictly from snippets retrieved from your documents and cite the source. Accuracy depends on your uploaded documentation being up to date.
Simultaneous session capacity is defined in each plan, dimensioned in Custom plans for large operations.
Yes, the platform is multi-language.
Custom API integrations are included in Custom enterprise plans.
No. Access everything via web browsers on desktop or mobile.
Related links
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