01 — Production AI systems

Most teams trade speed for scale.
We ship both.

SHIPPED IN WEEKS — ENGINEERED FOR THE 99TH PERCENTILE

North Edge Labs builds state-of-the-art, multi-model AI and gets it live — fast. We've spent careers on the hard problems: search, ranking, retrieval, and the distributed systems that keep them online when the traffic is real.

TYPICAL REPLY < 1 BUSINESS DAY — ENGINEERS, NOT A FUNNEL
02 — Production telemetry · multi-model router LIVE
ROUTING LATENCY · LAST 60 S · – – p99 budget
P99 LATENCY
182 ms
✓ WITHIN BUDGET
REQS SERVED 2,147,201 ENSEMBLE AGREE 0.97 UPTIME 99.99%
both
Speed and scale — engineered together, not traded
SOTA
Multi-model ensembles in production, routed for cost & latency
25+ yrs
Across Apple, eBay & Shopify search and ranking
<1 day
Typical response — engineers, not a funnel

Where we go deep

03 — Capabilities

Anyone can stand up a demo. The difference shows the day it meets real traffic: ranking that has to stay relevant, retrieval that has to be right, multi-model pipelines that have to stay fast and cheap at the 99th percentile — and the distributed plumbing underneath that decides whether any of it survives.

That's the terrain we've lived in for decades. We bring frontier models and rigorous systems engineering to the same table, so the thing we ship isn't a prototype that impresses — it's a system that runs.

01
Neural ranking
02
Semantic & hybrid search
03
RAG & retrieval
04
Multi-model orchestration
05
Agentic workflows
06
Recommendation
07
Vector retrieval
08
Low-latency serving
09
Distributed inference
10
Learning-to-rank
11
Eval & observability
12
Model routing
CASE STUDY — LIVE IN PRODUCTION
DraftAid AI for engineering drawings Running today

A state-of-the-art multi-model system — shipped in record time.

“North Edge Labs got our models out of the prototype phase and into production — and unlike most, they stuck around for the hard parts.”

DraftAid
multi-model
SOTA ensemble, routed per task for accuracy, cost & latency
weeks
From architecture to live, not quarters
in prod
Shipped, monitored, and operated — still running today
how they ship
Embedded in the product workflow, not a side demo
ZonePlan ZonePlanZoning, permits & building code zoneplan.ca ↗

Answers zoning and building-code questions for any Ontario property, reviews drawings against the OBC, and drafts permit paperwork — every answer grounded in the actual by-laws, with citations. Retrieval that has to be right, because the answer gets checked against the law.

In productionRAG · grounded citations
Curde.Sharia-compliant car financing curde.co ↗

Halal auto financing, done properly online. We built Curde's platform end to end — from the product experience to the financing application workflow — engineered to launch fast and ready to scale with demand.

In productionFull platform · shipped

The thesis

04 — Why both is possible

Speed and scale aren't a trade-off. Treating them as one is the mistake.

The usual story says you move fast and clean it up later, or you build for scale and ship next year. We reject the premise. The same instincts that let you ship in weeks — knowing exactly which corners are safe to cut — are what let the system hold when the load arrives.

Decades on search, ranking, and distributed systems taught us where the failure modes live. So we build for the 99th percentile from day one, and we still ship fast — because we've already made these mistakes, on systems far bigger than yours.

LatencyThroughput
BothNo compromise
p99 < budgetscales horizontally

Where we built it

05 — Pedigree

The search, ranking, and ML systems behind products you've used — at the scales your business will grow into.

Apple Search & ML serving billions of users — relevance, ranking, and the systems underneath.
eBay Search & ranking across one of the largest live marketplaces on the internet.
Shopify Distributed systems that hold up when commerce traffic spikes — for real, at scale.
06 — Start a project

Let's ship something real.

Tell us about the system you're trying to ship — fast, at scale, or both. We'll respond within one business day with an honest read on whether we can help, and how.