A Private AI agent for regulated industries. Inference, training, and logging all happen inside your network — and every answer ships with its own citations. Trusted daily by Shinhan, Hana, Kyobo, and DB Savings Bank.
Supervisors (parents) bear liability under Civil Code Art. 755 for damages caused by minors lacking responsibility — unless they prove they exercised due care.
Leaders in regulated industries already trust Raondata
Not a general-purpose chatbot. Domain-tuned Private AI built to slot directly into real workflows — entirely on-premise, with zero external API calls.
Calls, chats, inquiries, and internal documents are classified in real time by our sLLM — entirely on your network. Nothing leaves the perimeter, and no suspected violation slips through.
Zero external API calls. Models and data live inside your infrastructure. We've analyzed over 3 million records across 4+ years — without a single byte leaving the perimeter.
Possible because we build every layer ourselves — algorithms, models, infrastructure. With limited GPUs and small models, we deliver accuracy and latency that rival frontier LLMs.
A graph index built across Proposition, Chunk, and Structure layers — precise retrieval without sacrificing original context. Multi-hop questions don't degrade accuracy.
Trained evenly across civil, commercial, criminal, administrative, tax, labor, and IP domains. Over 500K examples reviewed by attorneys — +10% Recall and NDCG vs. general-purpose models.
Three techniques — Reduction, Isolation, Offloading — keep context from blowing up. We cut tokens by 60% and context by 90%, while keeping answer quality intact on-prem.
ASR and emotion models trained on 50K hours of our own phone-line data. Lower CER than Google or Naver in our benchmarks, with KOLAS certification and 200 concurrent channels.
26 papers across AI top-tier venues (AAAI · CIKM · WWW · INTERSPEECH) and SCI journals.
We validate accuracy and stability on real production data over 3–6 weeks on your network, then move directly into production. DB Savings Bank, Kyungnam Energy, and Shinhan Savings Bank completed the cycle and are still live today.
Live“Analyzes 2,000+ phone-line complaints by keyword network in under 10 seconds, surfacing the root cause of recurring issues fast.
Live“Consolidates scattered consultation and complaint data and automatically surfaces suspected violations.
Live“Human review used to cover just 1% of conversations. With automated review, coverage jumped to 100% — and the team's load dropped dramatically.
Live“Policy Q&A and consultation analytics running together, fully on-premise.
We deploy the model inside your environment and validate accuracy and stability on real production data over 3–6 weeks. If it works, it ships.
