You already have the data.
Research finds the method.
Engineering turns it into value.
If you run a small or mid-size operation, you already have the data: photos, logs, spreadsheets, and the judgment of a few people who know the product. We study that reality, design a method that fits a team without an ML department, and ship software the floor can actually run.
Years of Applied AI Research
Projects Delivered
ML Models Deployed in Production
Built for SMEs — any country
Our Mission
We Bridge Research and Reality.
TLA Innovation Lab is a research-first technology company built for SMEs. We start with first principles — studying what actually works in machine learning — then apply it to the messy data and small teams that large vendors usually skip.
You do not need a data-science department, a six-figure platform license, or a year-long transformation program. We prove a method on your files, then ship a system your operators can run after we leave.
See our strengths →Research-First
We start with understanding before we start building. Every project begins with a thorough analysis phase.
Production-Grade
We build systems a 20–200 person company can operate: messy shop-floor data, partial labels, and no dedicated ML staff after handover.
Long-term Partnership
We measure our success by your results. We stay involved after delivery to ensure systems improve over time.
What We Do
Four Capabilities. End-to-End Delivery.
We work across the full AI development lifecycle — from raw research to deployed software running in production.
AI Research & Development
Custom ML model research, novel algorithm development, and experimental AI system design. We go beyond existing solutions when the problem demands it.
Data Science & Analytics
End-to-end data engineering, predictive modeling, and business intelligence pipelines. We turn raw data into decisions you can act on today.
ML Engineering & MLOps
Production ML systems built to scale. Model training pipelines, deployment infrastructure, monitoring, and continuous improvement loops — the full MLOps stack.
Software Development
Full-stack applications, REST & gRPC APIs, and scalable backend systems. We build the software layer that makes your AI models accessible and useful.
Research Focus
Where We Go Deep.
Our research concentrates on applied ML domains where we can have the greatest real-world impact.
Computer Vision
Object detection, defect inspection, image segmentation, and visual quality control systems.
Natural Language Processing
Document understanding, text classification, NER, and LLM fine-tuning for domain-specific tasks.
Time Series & Anomaly Detection
Sensor data modeling, predictive maintenance, and anomaly detection for industrial IoT applications.
Active Learning & Annotation
Efficient data labeling pipelines that minimize human effort while maximizing model performance.
Edge AI & Deployment
On-device and on-premise model deployment for low-latency, privacy-first inference without cloud.
Generative AI Applications
Applied generative AI: document automation, synthetic data generation, and domain-adapted LLMs.
Open to Collaboration
Ready to Cooperate in AI Research.
TLA Innovation Lab welcomes research partnerships with universities, labs, and SME industry teams in any country — remote or on-site.
Joint research
Co-design experiments, share benchmarks, and publish applied results with industry constraints in the loop.
Academic collaboration
We partner with labs and universities on computer vision, NLP, active learning, and industrial time-series problems.
Open artifacts
Selected tooling, evaluation notes, and datasets can be released when they help the broader research community.
Visiting researchers
Short residencies and part-time research collaborations, including fully remote work across time zones.
How We Work
Research-Driven. Production-Focused.
Every engagement follows the same rigorous cycle — from understanding the problem to a deployed solution.
Discover
Deep-dive into your data, domain, and business goals. We define the problem before we touch any code.
Research
Literature review + rapid prototyping. We find the best approach — sometimes that means inventing one.
Build
Production-grade implementation with clean architecture, comprehensive tests, and full documentation.
Validate
Benchmark against your real data. No demo metrics — only performance that matters in production.
Deploy & Improve
CI/CD deployment + monitoring + continuous model improvement. We stay involved after go-live.
What We've Built
Research That Ships.
Our internal R&D produces tools and services used by real businesses. These are our flagship products.
Groundline
AI models label. People only check. Cost stays below the farms.
Groundline runs AI models on your unlabeled photos so most boxes are drawn automatically. Your experts review only the uncertain cases. That is why the cost is lower than traditional annotation vendors — and why an SME can afford a working model.
AI pre-labels ~85% · cost well below labeling vendors · 4 weeks to first model
View ProductResearch Lab
Internal tools & open research
We continuously develop internal tooling, benchmarks, and research artifacts. Select projects are open-sourced.
- → Open-source repositories
- → Technical blog (coming soon)
- → Research notes
More products coming in 2026
Work With Us
Let's Build Something Together.
Whether you need a first working model, a cleaner dataset, or software your operators can run — if you are an SME and you are not sure what you need yet, we are happy to talk. Any country.
info@tla-lab.com
We respond within 24 hours
Book a free 30-min call
info@tla-lab.comP.702A, Tầng 7, Tòa nhà Centre Point, 106 Nguyễn Văn Trỗi, Phường Phú Nhuận, TP Hồ Chí Minh, Việt Nam
Remote-first. On-site when the data or the line requires it. SMEs in any country.