About

We build the layers AI depends on, and prove they hold.

Why StrataPath

Fast AI systems look like geology: layers laid down in the right order, each one supporting the next. Fabric, datapath, then the workloads on top.

[Your founding story: who started the firm, when and why, and the infrastructure problems you saw teams struggling with.]

How we think

Four principles behind our engineering.

Measure first

We profile before we change anything, and every change is judged against a baseline.

Hardware where it pays

Offload what runs at line rate in silicon, and keep the rest in software that is easy to change.

Portable by design

We prefer standard interfaces such as rte_flow, eBPF and virtio, so your design outlives any one vendor. [Confirm this matches your partner arrangements.]

Written down and tested

Every system ships with a design document, tests and benchmarks, so your team can own it after we leave.

The team

The people you'll work with.

Chenna Kesava Reddy Machireddy

[Role, e.g. Founder and principal engineer]

Focus areas: DPDK and kernel-bypass datapaths, BlueField DPU offload, RoCEv2 GPU fabrics and eBPF security. [Add experience and background.]

[Name]

[Role]

[Short bio: relevant experience and focus area.]

Find the bottleneck before you buy more hardware.

Bring a workload and a target. In one call, we'll help you work out where the time goes and which layer to fix first.

Book a technical call