Knowally VS Diffyn

Knowally's answer

Most questionnaire tools are built for generic RFP responses. Knowally is purpose-built for security questionnaire automation — it uses your own uploaded security documentation (SOC 2 reports, ISO 27001 controls, internal policies) as the source of truth for every answer. Responses are grounded in your actual documents, not a generic knowledge base, making them accurate and audit-ready from day one.

Diffyn's answer:

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

Knowally's answer

Knowally is significantly more affordable than Loopio or Responsive with no per-questionnaire fees. It's GDPR-compliant and EU-hosted — critical for European vendors. Setup takes minutes: upload your existing docs and start answering immediately, no onboarding call or training required. The Answer Library compounds over time — each questionnaire you complete makes the next one faster.

Diffyn's answer:

Diffyn is the platform that specializes on both change management and multi-model analysis.

Knowally's answer

Python (Flask) backend, Vue 3 frontend, PostgreSQL with pgvector for semantic search, Anthropic for AI answer generation. Hosted on Hetzner in the EU. GDPR-compliant architecture with all data processing confined to EU regions.

Diffyn's answer:

React, Next.js, POSTGRESQL

Knowally's answer

InfoSec managers, GRC analysts, and trust & compliance teams at B2B SaaS companies and software vendors that receive security questionnaires (CAIQ, SIG, SOC 2, DDQ, VSA) from enterprise customers or investors as part of their sales cycle. Typically 5–500 person companies without a dedicated RFP team.

Diffyn's answer:

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

Knowally's answer

Knowally was built after experiencing firsthand how much time InfoSec and sales teams waste manually answering the same security questions for every new enterprise customer — copying from old spreadsheets, hunting through policy docs, starting from scratch each time. The goal: upload your security documentation once, let AI handle the repetitive drafting.

Diffyn's answer:

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.