We have developed the full voice stack — STT, LLM, TTS — in-house for 20 years. On top of it: Locus, which lets AI understand human knowledge as context, and Physical AI, which extends the stack onto devices. Without depending on anyone else, we create new AI territory and new business.
STT, LLM and TTS fused into a real-time AI agent. Running on our custom-tuned LLM and Locus knowledge — AI that actually works in the field.
Korean-specialized streaming recognition. Transcribes in real time — before the sentence even ends.
≈ 200msOur custom-tuned LLM agent grasps the intent and generates the response.
Streaming synthesis begins speaking naturally before the sentence is complete.
≈ 100msFrom the voice engine to knowledge and domain understanding — we built every layer ourselves.
Our own STT & TTS, trained on 98,000 hours of Korean speech. Korea's first CPU-based end-to-end speech recognition, backed by a vast speech data archive.
Fuses STT, LLM and TTS into a live agent that responds in under a second — with barge-in and turn detection, just like a person.
We tune open-source LLMs directly for each work domain, designed agent-first so they carry out real work.
Structures internal documents and data to generate grounded answers and deliverables. A knowledge engine that understands AI, CRM and business data.
Proven AI that understands contact centers, CRM and core enterprise workflows — used in real operations, not demos.
Fully on-premises — your data never leaves your network. World-first patents including simultaneous diarization of 100+ speakers.
Something only possible when you build the engine yourself — we continuously train it on each customer's domain data (lending, insurance, contact centers and more) to push recognition accuracy higher. After training, per-domain accuracy reaches the 93–95% range, and the entire process runs inside the customer's own network (on-premises).
We built and operate our own AI research and training server room at our Yeongdeungpo branch — 40 GPU servers, run in-house.
Our GPU servers are pooled through virtualization, so researchers get GPUs allocated instantly, exactly as their work demands. No idle resources, fast experiments — an efficient research environment on which our engines keep evolving.
Turning what people know into context AI can grasp — that is the core of the next era of AI. Locus, built with an exceptional engineering team, is becoming the definitive solution.
It reads static knowledge — regulations, policies, business, identity, roles — together with dynamic knowledge — consultations, calls, customer inquiries, meeting issues, sales and marketing status. Built on our patent-pending knowledge structuring technology, it understands and organizes this dual context to go beyond the limits of conventional RAG, and connects to agents to take responsibility all the way to actual execution. Every LLM is deployed as an enterprise-dedicated, on-premises tuned model, keeping security intact.
A path open only to those who build their own engines — no cloud, just a device that listens, decides and speaks on its own.
Because we own STT, LLM and TTS end to end, we can compress, tune and load the entire engine onto a small device. This is the path to on-device voice agents — closed to companies that merely rent external APIs.
Locus, which makes AI's knowledge architecture precise, and Physical AI, which extends real-time voice agents onto devices — on these two axes, Timbel moves beyond digital to create new AI territory and new business.
From the first consultation to a tailored deployment — Timbel is with you.
