Company
Vectris created the governing framework for productive AI inference.
Vectris developed Adaptive Neural Efficiency, the invariant-driven framework that made Waveform possible. The company measures economic capacity already resident in deployed AI infrastructure, quantifies its value and licenses the software that recovers it.
Why Vectris exists
The economics of inference are decided at runtime.
Hardware purchases establish the theoretical ceiling. Runtime behavior determines how much quality-equivalent accepted output the fleet actually delivers.
Structural waste is the problem. ANE is the governing invention. Waveform is the commercial wedge. Compute Yield is the economic measure.
How the pieces fit
Framework, product, measure.
ANE defines the governing framework. Waveform operationalizes it. Compute Yield verifies the economic result.
Strategic position
A control layer, not a replacement.
Waveform deploys alongside the existing inference environment. The product begins with the infrastructure already installed and the workload already running.
Models
No model retraining
No model retraining and no model-weight changes; the operator keeps the same model and quality standard.
Hardware
No kernel modification
No GPU-kernel modification and no proprietary hardware; runs on the accelerators already installed.
Applications
No application rewrite
Waveform deploys between the serving framework and GPU execution as an additive control layer.
Operating model
From measured case to governed deployment.
01
Compute Yield Audit
A bounded paid engagement measuring a selected workload against an optimized baseline.
02
Economic Capacity Report
The executive case for capacity, cost per accepted output, energy, procurement timing and return on GPU assets.
03
Waveform Runtime
A recurring software subscription deployed across the GPUs and workloads supported by the measured case.
04
Expansion and renewal
Additional activated GPUs, workloads and sites, with renewal based on measured customer outcomes.
From invention to product
First the framework. Then the product. Then the measured business case.
ANE
The governing framework
ANE defines productive execution, admissible control and the proof boundary.
Waveform
The deployable product
Waveform operationalizes ANE as deployable C++ middleware.
Compute Yield
The economic measure
Compute Yield reports accepted output per GPU-hour, joule and infrastructure dollar.
The Audit
The customer case
The Compute Yield Audit converts the technical result into a customer-specific economic case.
About Vectris Labs
Extracting more value from AI infrastructures.
Vectris Labs, Inc. creates the new category of AI compute yield economics that seeks to empower every operator and user of AI infrastructures with technological solutions to extract more from their AI computing resources. Vectris Labs turns wasted compute into productive capacity, helping AI infrastructures accomplish more with the hardware they already own, reducing operating and capital expenditures while increasing the efficient use of existing resources. Headquartered in Birmingham, Alabama, Vectris is led by experts who aggregate over half a century of high-end computing expertise and business acumen, bringing senior-level experience from U.S. government, National Laboratories, AMD, Oracle Cloud Infrastructure, and Mercedes-Benz.