AI Support That Earns Trust
Rovixal exists for one reason: to make AI-powered customer support as reliable as human experts. Designed to answer only when grounded in your knowledge. When it can't, it says so and logs the gap. Just accurate, citation-backed responses your customers can trust.
Why We Built Rovixal
We started Rovixal because we were frustrated. As engineers, we watched company after company deploy AI chatbots that confidently gave customers wrong answers. Bots that hallucinated product features, invented return policies, and cited documentation that didn't exist.
The problem wasn't the AI itself — it was the approach. Most chatbot builders slap a system prompt on top of GPT and call it a day. No source verification. No citation checking. No way to measure if the bot is actually being truthful.
We knew there was a better way. We built Rovixal to prove that AI support can be accurate, citation-backed, and trustworthy — without sacrificing the speed and scale that makes AI valuable in the first place.
What We Believe
These aren't just words on a page — they're the principles that guide every product decision we make.
Accuracy AND Speed
Go live in minutes and get accurate answers from day one. Every response is grounded in your documentation with citations available.
Trust By Default
Trust isn't a feature — it's the foundation. From adversarial testing to confidence scoring, everything we build starts with "how do we make this trustworthy?"
Developer-First
We build for teams that care about how things work under the hood. Full API access, webhook integrations, and transparent scoring — no black boxes.
Transparency
Every answer includes its sources. Every confidence score is explainable. Every security test is documented. You should never have to guess why the AI said something.
Our Mission
Make AI support as reliable as human experts — so businesses can scale their customer experience without sacrificing accuracy or trust.
Engineering Depth
Rovixal is built by engineers who have spent years working at the intersection of AI, NLP, information retrieval, and application security. We obsess over the problems that most teams don't even know exist: authority-weighted retrieval, multi-turn injection defense, document freshness lifecycle management, heading-aware chunking, and deployment-gating evaluation frameworks.
We move fast, ship often, and are relentlessly focused on the details that determine whether an AI answer is trustworthy or dangerous. Every line of code serves one goal — making AI support you can actually rely on.
AI & Retrieval
RAG pipelines, pgvector semantic search, authority/freshness re-ranking, embedding cache, multi-source unification.
Security & Safety
Adversarial testing across 5 dimensions, prompt injection defense, document injection scanning, deployment gating, 6-dimension Trust Score.
Infrastructure
BullMQ async processing, Cloudflare R2 storage, SHA-256 dedup, content hash change detection, multi-tenant isolation.