SEE
Vision systems
Detection, pose, tracking, liveness and volumetric reconstruction.
We turn models into measurable product capabilities, connecting data, evaluation, human judgment and the operating workflow around every prediction.
The model is one component. Production value depends on how inputs are collected, uncertainty is handled, people review outputs and the system learns after launch.
Detection, pose, tracking, liveness and volumetric reconstruction.
Transcription, diarization, conversion and real-time inference.
Retrieval, grounding, source attribution and administration.
Classification, signals, recommendations, pricing and alerts.
Nothing moves to the next gate until the current one is written down and agreed.
Name the decision the model supports and measure how it is made today. Without a baseline there is nothing to beat.
Build a representative evaluation set from real inputs, including the awkward cases, so quality can be inspected rather than asserted.
Define review, escalation and override: which outputs go straight through, which a person checks, and which the system refuses.
Monitor quality, latency and cost after launch, with versioning and alerts so drift is caught before users notice it.
No repeated capability language. Just what each system was built to do, and how long it took.
NLP analytics for gold traders with bullish, bearish and neutral classification, real-time dashboards, predictive signals and smart alerts.
Real-time boxing and combat analysis from commodity cameras: pose estimation, punch counting, reaction-time scoring and head-to-head comparison.
Age-conditioned voice cloning trained on twenty years of audio, reproducing a speaker from age 22 to 42 with voice-to-voice conversion and real-time inference.
Multi-camera capture using NeRF and Gaussian splatting, 33-keypoint tracking and GLB and USDZ export for AR, VR and holographic experiences.
Source-grounded enterprise assistant with document ingestion, vector retrieval and an administration layer for content and performance management.
Hospitality intelligence covering competitor pricing, reviews, occupancy, SWOT analysis and dynamic-pricing decision support.
Enterprise audio and video transcription with multilingual support, diarization, timestamps and noise reduction.
Salon operations platform with AI recommendations, customer behaviour analytics and automated reminder workflows.
We define adoption, review and success around the user's actual decision, not around a model metric nobody downstream reads.
Evaluation sets, task metrics and failure analysis make quality inspectable by someone who did not build the model.
Latency, cost, versioning, observability and ownership are part of the architecture, not a follow-up project.
We will help identify whether the right answer is a custom model, retrieval, deterministic logic, an external API, or a combination of them.