AI research that ships, with academic rigor at its core.

We turn advanced AI research into deployable systems for academia and industry.

Research-led prototypes.
Ethical evaluation.
Deployment-ready systems.
LabSemantics identity mark
What we do

Research, development, and advisory under one roof.

End-to-end AI work for labs and organizations.

AI Research

Novel methods, experiments, and publications.

Product Development

From data pipelines to production AI tools.

Strategic Consultation

Roadmaps, evaluation, and responsible AI.

Academic Collaboration

Joint labs, grants, and workshops.

Research collaboration

Collaborative research shaped for real-world impact.

Snapshots of collaborations and recent outputs.

MMF-Gait multi-model fusion gait recognition framework diagram

MMF-Gait (Symmetry 2025)

Fusion of CNNs and ViT for gait recognition.

Symmetry Gait Biometrics Fusion Learning
Mam-App architecture for apple leaf disease classification

Mam-App (arXiv 2026)

Efficient Mamba model for leaf disease.

Plant Health Mamba Efficient AI
Vision-language integration for floating debris detection

Floating Debris Vision-Language Detection

YOLOv7 + CLIP for zero-shot debris.

Environmental AI Zero-shot Vision-Language
ICMVA 2025 conference presentation title slide

ICMVA 2025 Conference Spotlight

Conference presentation highlight.

Conference ICMVA 2025 Machine Vision
YoLIP flood response visualization with real-time prioritization

YoLIP Flood Response (JBRP 2025)

Zero-shot flood triage from imagery.

Disaster Response Zero-shot Public Safety
Publications & resources

Recent papers, preprints, and shared artifacts.

Peer-reviewed work and preprints.

Capabilities

Everything needed to move from research to deployment.

Full AI lifecycle support.

R&D

Research Design

Problem framing and study design.

DATA

Dataset Engineering

Collection, labeling, governance.

ML

Model Development

Transformers, diffusion, Mamba.

EVAL

Evaluation & QA

Benchmarks, ablations, QA.

MLOps

Deployment & MLOps

Inference, monitoring, updates.

ETH

Responsible AI

Bias, safety, governance.

Outcomes

Deliverables built for longevity.

Outcomes that last.

Reproducible pipelines

Clear tracking and documentation.

Field-ready prototypes

Validated on real data.

Collaborative knowledge transfer

Workshops and handoffs.

Our approach

A structured pathway from question to impact.

Three steps from question to impact.

01 · Diagnose

Align goals and feasibility.

02 · Design

Design systems and evaluation.

03 · Deliver

Ship and transfer knowledge.

Who we are

A lab built for ambitious, real-world AI.

Researchers and engineers building practical AI.

Academic rigor with product delivery.

Let’s connect

Ready to start the next research chapter?

Share your scope and goals. We respond quickly.