Who We Are
LatencyLabs Editorial Team
We write practical guides about edge computing and on-device AI deployment. Real research, real testing, real clarity for Ottawa startups.
Our Story
Why We Started This
LatencyLabs began in 2020 because we noticed something: developers in Ottawa were building real edge AI applications, but most resources about the topic felt either too academic or too focused on hype. We're talking about people deploying TensorFlow Lite models to phones, running inference on embedded devices, dealing with actual latency constraints—practical problems that needed practical answers.
We started publishing guides because we saw the gap. Articles that explain trade-offs instead of pushing one tool. Content that acknowledges limitations. Explanations written for people who actually build things, not for marketing materials.
Today we focus on what matters: helping Ottawa's startup community navigate edge computing and on-device AI without getting lost in unnecessary complexity. That's still what drives our work.
Our Process
What We Check in Every Guide
Our editorial process is designed to catch unclear explanations, outdated information, and missed details. Here's what matters to us.
Technical Accuracy
We verify claims against current documentation and test code examples where practical. No approximations or outdated assumptions.
Regular Updates
Tools and frameworks evolve. We review published content regularly and update guides when dependencies change or better approaches emerge.
Clear Language
Jargon makes sense to specialists but blocks developers new to the topic. We explain concepts in plain language without oversimplifying.
Honest Trade-offs
Every tool has limits. We explain what works, what doesn't, and why—so you can make informed choices for your use case.
Topic Selection
We focus on what we see developers actually building. Topics come from real questions in the Ottawa startup community.
Multiple Reviews
Content goes through several rounds of checking before publishing. We catch unclear sections, missing context, and potential errors early.
Our Approach
What We Believe About Technical Writing
Accuracy Over Hype
Edge AI isn't magic. We explain what these technologies actually do, the real constraints you'll face, and why certain approaches work better than others. No overselling.
Practical, Not Theoretical
We focus on implementation details that matter when you're building. Code examples, hardware considerations, deployment strategies—the things you need to know to ship something.
Respect Your Time
You're busy. Our guides get to the point quickly, explain what matters, and skip the unnecessary context. You shouldn't need to read three articles to understand one concept.
Keep Things Current
The AI and edge computing landscape shifts fast. We don't publish a guide and forget it. We maintain content, add updates, and mark outdated sections clearly.
What We've Published
Recent Articles
Practical guides for developers working with edge AI and on-device models.
Quantization Techniques for Mobile Models
How to reduce model size without losing accuracy. We compare int8 quantization, dynamic quantization, and post-training approaches with real numbers.
Read ArticleHardware Selection for Ottawa Startups
Choosing between mobile phones, edge devices, and local servers for AI deployment. Practical guidance on cost, latency, and power consumption trade-offs.
Read ArticleTensorFlow Lite vs ONNX Runtime
Both frameworks handle edge inference. We compare performance, ease of use, ecosystem support, and which situations favor one over the other.
Read ArticleBuilding Real-Time Inference Pipelines
Architecture patterns for latency-sensitive applications. Managing model loading, preprocessing, inference, and post-processing without blocking user interactions.
Read ArticleWant to see all our guides? Browse the full collection of edge computing and on-device AI resources.
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Questions or Feedback?
We're interested in hearing from developers building edge AI applications. Whether you've got questions about a guide, topic suggestions, or just want to share what you're working on—reach out.