Quescall
Answer questionnaires automatically — AI-assisted from your own answer history. No more hours of copy-paste on supplier, compliance and security questionnaires.
What Quescall does
Supplier self-assessments, security questionnaires, compliance audits, ESG reporting, RFP responses — many companies keep digging up and rewording the same answers for similar questionnaires. Quescall ends that: incoming questionnaires are ingested, every question is matched against your own answer history automatically — and matching answers are proposed.
- Upload: PDF, Word or Excel — Quescall extracts the questions in a structured way.
- Semantic search via vector embeddings (PostgreSQL + pgvector): finds topically matching past answers, not just exact text matches.
- AI fallback: if no history fits, an LLM answers — your choice of Claude (Anthropic), OpenAI, Mistral or a local model (Ollama / LM Studio).
- Review workflow: you check, complete or reject — Quescall never submits without your approval; every answer has a confidence indicator.
- Learning: accepted answers flow back into the answer history and improve future suggestions.
- Output: the completed questionnaire as a PDF (via Gotenberg) — download or e-mail delivery.
Quescall runs as a web application on your own server (on-premise). Answer history and embeddings stay in your own PostgreSQL database. With local AI models the system works entirely without any external cloud connection — also usable in regulated environments.
How Quescall is structured
Intake & extraction
PDF · DOCX · Excel
- Upload of incoming questionnaires in common formats
- Structured extraction of questions — including from PDF forms
- Manage several questionnaires in parallel
Matching & AI
pgvector + multi-provider LLM
- Vector search in the answer history via pgvector
- AI fallback: Claude, OpenAI, Mistral or local (Ollama / LM Studio)
- Confidence indicator per answer suggestion
Output & learning loop
PDF generator + AnswerHistory
- PDF generation of the completed questionnaire (Gotenberg)
- Delivery by e-mail or direct download
- Accepted answers go back into AnswerHistory — the system keeps learning
Quescall runs as a .NET 8 application with PostgreSQL 16 (pgvector) in Docker. Hosting either with us, in your own cloud or fully on-premise — on request entirely without external model APIs.
Live instance at quescall.csbg.de — get in touch for questions about trial installation, on-premise deployment or custom adaptations.