Free · 30 minutes · No obligation
Edge Deployment Readiness Review
Bring one real workload. Leave with a one page scorecard telling you whether it can run on the platform, under the power budget, with no link home.
Most teams evaluating edge AI start with a platform decision and spend six months finding out the workload was never the right candidate. This runs the other way. We look at one workload you already have, against the constraints you actually operate under, and tell you plainly whether it belongs at the edge or on a GPU where it is.
What you get
- A readiness score across four constraints: size, weight, power, and connectivity
- An estimated power envelope for the workload, and what accuracy you would trade to hit it
- A yes or no on whether spiking conversion is worth the engineering for this specific case
- A bounded 90 day pilot scope, or a clear recommendation not to run one
Who this is for
- Federal and defense programs fielding on drones, satellites, vehicles or unattended sensors
- Robotics and autonomy teams where perception is what drains the battery
- Critical infrastructure operators running always on sensing
- Data center and semiconductor teams where megawatts to the building are the binding constraint
Who this is not for
- Teams training large models. That stays on conventional accelerators and we will tell you so.
- Anyone looking for a platform recommendation before a workload has been picked.
- Procurement exercises that need a quote rather than an answer.
How it works
You send one workload description using the form below.
We review it against our lab benchmarks before the call, so the 30 minutes is spent on your problem and not on background.
You get the scorecard as a PDF within two business days, whether or not you proceed.
What it costs
Nothing. There is no follow up sequence and no obligation. If the answer is that this workload does not belong at the edge, that is the deliverable and we are done.
Request the review
One workload, described in your own terms. We reply with a time and the scorecard follows within two business days.
Questions before you send one
What do you mean by a workload?
Anything that senses, classifies or decides on a stream of input. Camera perception, vibration or acoustic anomaly detection, RF classification, always on monitoring. If it runs continuously and something has to power it, it qualifies.
Do I need to know anything about neuromorphic computing?
No. Describe the problem in your own terms and the constraint you are up against. Translating that is our side of the work.
Is this a sales call?
It ends in a written recommendation, and roughly a third of them say do not do this yet. If a pilot makes sense we will scope one, and you are free to take that scope elsewhere.
How is this different from a capability briefing?
A briefing covers what we do. This covers whether one specific thing you have will work.
Can you do this for a classified workload?
Describe it at an unclassified level in the form and we will handle the rest in the appropriate setting. We are SDVOSB, SAM.gov registered, CAGE 9V9EO, and aligned to NIST, CMMC and FedRAMP.