Sidepath Research Labs™

Every technology we recommend is bought, tested, and validated in our own lab — before it ever reaches your environment.

The industry default works like this: a vendor announces something new, a partner adds it to the catalog, and the customer finds out in production whether it actually holds up. We built the lab because we weren’t willing to work that way.

Before a technology earns a place in a Sidepath recommendation, it runs in our environment — on our hardware, under real conditions, alongside the software your business actually depends on. That’s a level of diligence nobody asked us for. We do it anyway, because it’s the difference between selling technology and engineering it.

Artificial Intelligence. Real-world Rediness. 

1

We Buy

We invest in the technology we sell. Our own capital, on our own racks. That changes the incentive: we’re not selling off a manufacturers sellsheet. We’re standing behind a recommendation.
2

We Test

We run it the way you would. Real workloads, real network traffic, the software your business depends on, hybrid connections to the public cloud — the whole environment, not an isolated demo.
3

We Validate

It has to hold up before it gets recommended. Performance, reliability, scalability, fit — against our bar, not the vendor’s benchmark. What passes goes into our designs. What doesn’t, doesn’t.

Where the lab shows up

The lab is embedded into every solution we design. From infrastructure and cloud to security and data protection, we test recommendations against real workloads and live environments so every decision is proven before it reaches production.

Infrastructure Modernization

Assess your current environment and compute, storage, and networking needs to build a clear roadmap before investing in AI.

Cloud Solutions

Hybrid designs tested against live Azure and AWS connections.

Cyber & Network Security

Protection tested in the stack — not taken on a vendor’s word.

Data Protection

We test the recovery, not just the backup.

AI Infrastructure

Compute and data foundations proven before the first workload lands.