The problem needs the right operation
A binary or ternary neural network.
Runs binary-network inference as one optimization problem.
Industry application · AI & machine learningSPINFORGE / A GARMO LABS COMPANY
NN-to-QUBO
Runs binary-network inference as one optimization problem.
Customer outcomeBuild better plans and decisions ↗
THE PRODUCT, IN PRACTICE
Runs binary-network inference as one optimization problem.
Runs binary-network inference as one optimization problem. It is a SpinForge application for ai & machine learning, built on SpinForge + Atlas and delivered through a scoped engagement. Its current evidence: tested prototype.
- BUILT FOR
- Teams exploring alternative hardware for neural-network inference.
CHALLENGES → PRODUCT RESPONSEThe problem you face.
The problem you face.
What the product changes.
YOUR CHALLENGEWITH NN-TO-QUBO
A result must answer the original question
An answer detached from its original constraints or input is difficult to rely on.
Outputs are compared with a standard forward pass.
The comparison needs a defined scope
A capability or benchmark result is not a universal promise for a different workload.
Evaluate the selected input, resource budget, complete cost and required certificate against your baseline.
WHAT YOU GETA defined capability.
A defined capability.
A useful result.
Selected capability
Runs binary-network inference as one optimization problem.
Result
The network's outputs, compared with standard inference.
Access by engagement
Delivered through a scoped engagement on SpinForge + Atlas. A self-serve CLI or MCP interface is not published for this application.
Checked result
Outputs are compared with a standard forward pass.
SPINFORGE APPLICATION / EVIDENCE
Tested prototype
Working software with a passing test suite. No benchmark result is recorded yet.
Source: the application's test suite. Results on your instances are measured in the engagement.
See ai & machine learning on its industry pageEXAMPLE CUSTOMER WORKFLOW
Use NN-to-QUBO in a defined workflow
A customer brings one defined decision from their own work and wants a checked result for it.
Illustrative customer use—not a new benchmark or completed customer deployment.- 01→
Provide the original input and define the useful outcome.
- 02→
Run the application on SpinForge + Atlas within the agreed scope.
- 03→
Review the returned answer, original-input checks and completion state.
FIT & ACCEPTANCEStart with the task.
Start with the task.
Agree the useful outcome.
- What you bring
- A binary or ternary neural network.
- What a useful evaluation measures
- +A result that meets every stated rule
- +The check reported with the result
- +Total time, memory and operating cost
- Delivery
- License the selected capability, commission an implementation, or agree an operated service. Infrastructure and additional engineering are specified separately.
QUESTIONS BEFORE BUYINGA clear scope.
A clear scope.
A clear relationship.
What is the important boundary?−
A tested prototype: no benchmark result is recorded yet.
How is it priced?+
Pilot first: a $30,000 focused sprint qualifies it on your own instances. The licence is quoted after the pilot; no list price is published until a benchmark result exists.
How do we get access?+
Delivered through a scoped engagement on SpinForge + Atlas. A self-serve CLI or MCP interface is not published for this application.
PUT THE PRODUCT TO WORK
Tell us what needs to improve.
Bring a task, an accepted outcome and the environment in which the product needs to work.
PRODUCT RELATIONSHIPS
Related, not interchangeable.
ONE PLATFORM
Choose a qualified workflow.
Select the capability you need directly or include its compatible role in a qualified platform workflow. Production scope identifies release, environment, capacity and support; a product count is not an entitlement.
Explore monthly plans See the system connectionsSTART WITH THIS PRODUCT
Use the software directly or ask us to scope the implementation.