A computed choice still has to be carried out
A solution in software is not by itself a completed physical task.
Embodied Optimizer addresses a robot solving a combinatorial problem through its physical workflow.
Synthesis / Layer 2 / ISPINFORGE / A GARMO LABS COMPANY
Embodied Optimizer
Physical optimization in which a robot solves combinatorial problems.
Customer outcomeDesign and discover ↗
THE PRODUCT, IN PRACTICE
Bring the decision
into physical work.
Embodied Optimizer connects combinatorial optimization with a robot performing physical work. It is one of the actual Layer 2 products, not a substitution for a differently named item from another architecture diagram. The robot, environment and permissible actions are defined for the application.
- BUILT FOR
- Robotics researchers and teams deploying a bounded physical-optimization task.
CHALLENGES → PRODUCT RESPONSEThe problem you face.
The problem you face.
What the product changes.
YOUR CHALLENGEWITH EMBODIED OPTIMIZER
Physical conditions affect feasibility
Geometry, sensing and actuation conditions determine what can actually be done.
Qualify the supported robot and task environment rather than treating an abstract optimum as a physical guarantee.
Execution needs authority and safeguards
Operating a robot introduces responsibilities beyond a solver call.
Agree the allowed actions, supervision, stop conditions and acceptance process before operation.
WHAT YOU GETA defined capability.
A defined capability.
A useful result.
Physical optimization product
A robot-centered application of combinatorial problem solving.
A task-specific workflow
Define the physical problem and the supported robot integration.
Computational and physical evaluation
Review the decision and actual task completion separately.
A scoped delivery
Specify equipment, safety responsibility and operating authority in the engagement.
EXAMPLE CUSTOMER WORKFLOW
Evaluate a bounded robot task
A team wants a robot to perform an explicitly defined combinatorial task.
Illustrative customer use—not a new benchmark or completed customer deployment.- 01→
Agree the environment, robot and permissible action set.
- 02→
Run the product within the approved physical operating boundary.
- 03→
Evaluate real task completion separately from the modeled solution.
FIT & ACCEPTANCEStart with the task.
Start with the task.
Agree the useful outcome.
- What you bring
- The physical task, robot/platform interface, environment, permissions and safety/acceptance requirements.
- What a useful evaluation measures
- +Task completion in the physical environment
- +Agreement with the modeled constraints
- +Recovery, intervention and resource use
- 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?−
The supplied table does not identify a universal robot adapter, external safety certification or authority for unrestricted physical control. Hardware and operating responsibilities are separately scoped.
How is it priced?+
No new standalone price is supplied for this product; request a scoped proposal. The platform plans buy qualified workflows and capacity, not a second charge every time a compatible method is selected. Existing bundle inclusions do not expand automatically.
How do we get access?+
An existing product in the SpinForge portfolio. Request the release, available invocation interfaces and setup for your selected workflow; this publication does not invent executable commands or MCP tool names.
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.
Recursive Engine
The synthesis meta-system through which its eleven products improve one another.
AgentForge
An operating layer for generating, scheduling, validating, storing and replaying agentic-AI workloads across CPU/GPU infrastructure.
GARMO UCS
A native constraint-search engine for supported logical, integer and engineering decision models.
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.