Telecom · home networking
WiFi log intelligence with RAG
Turns raw router logs into plain-language root causes — “Why is my internet slow?” answered with evidence and a next action.
View case studySelected work
15 projects delivered by the Saerosense founding team for companies, hospitals and research programs — each with its workflow, the techniques behind it, and the results it produced.
Telecom · home networking
Turns raw router logs into plain-language root causes — “Why is my internet slow?” answered with evidence and a next action.
View case studyInsurance · South Korea
A Korean-language RAG chatbot grounded in an insurer’s own documents, benchmarked against ChatGPT, with a phone channel built on speech-to-text and text-to-speech.
View case studyFinance · investment research
Eight specialist agents turn 50+ market metrics into a scored BUY/HOLD/SELL research report — on a local LLM, so data stays in-house.
View case studyInfrastructure inspection · South Korea
Pixel-level detection of cracks, spalling, rebar exposure and efflorescence for a GPR & vision scanner platform.
View case studySmart city · traffic & parking
A five-stage pipeline that reads low-resolution, motion-blurred CCTV plates with above 90% accuracy.
View case studyIndustrial safety
A YOLO-NAS detector that checks seven types of protective equipment on workers at construction, manufacturing and mining sites.
View case studyRetail · brand protection
A ConvNeXt-Base pipeline that separates genuine from counterfeit luxury-brand logos — up to 94.8% AUC-ROC.
View case studyAutonomous driving
Drivable-space and lane estimation from semantic segmentation, with RANSAC ground-plane fitting.
View case studyRobotics · drones · AR/VR
Drift-reduced motion estimation fusing stereo cameras and an IMU — position error under 0.2 m across the evaluated trajectory.
View case studyMedical imaging
A 3D U-Net that segments brain tumors from multi-modal MRI volumes, trained with a multi-class soft Dice loss.
View case studyMedical imaging · radiology
Knee radiograph re-generation with StyleGAN3, Stable Diffusion and Pix2Pix GAN, in partnership with a university hospital in Seoul.
View case studySmart home · telecom
CNN + BiLSTM + attention recognizes human activity from WiFi signals — 93.5% accuracy in a 230 KB model on a 1 GB ARM device.
View case studyPower systems · transmission
Detects secondary-arc extinction and permanent faults on transmission lines so breakers reclose only when it is safe. Published in IEEE Transactions on Power Delivery.
View case studyPower systems · transmission
A Bi-LSTM predicts the secondary-arc extinction interval and fault type — 90.5% permanent-fault accuracy on unseen line models. Published in IEEE Access.
View case studyUrban infrastructure · climate risk
CatBoost and PCA over multi-resolution simulation rasters predict flood depth — RMSE 0.0018, MAE 0.0002.
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