Estimate the current state
TomoForge or enkf_scale can contribute a supported reconstruction or state estimate. Model calibration and uncertainty validity are separate requirements.
S2 / SYSTEM CONNECTIONExplore all 64 product roles
Not more precision.
The precision that matters.
A useful system should be able to ask whether it needs another sample, a refined numerical result, a different search, more proof work—or no additional computation. The next operation should respond to the decision and its evidence requirements.
Cross-product integration / customer qualificationExisting products · CLI · MCP · Headless
The products retain their available interfaces. These connections describe integration and evaluation opportunities—not a claim that every combined runtime has been delivered.
Discovery has both generation and evaluation.
SpinForge Bio generates ranked binder candidates, AMDE + ALCHEMI provides physics-grounded scoring, and AMDE and Bio use Discovery Core. GARMO Scientist supplies the perceive–hypothesize–experiment–learn cycle. A decision-sensitive integration defines which additional computation is useful and how its conclusion is accepted.
Explore the eleven products ↗THE CUSTOMER CHALLENGEWhat separate
What separate
tools can miss.
A fixed simulation resolution or blanket precision target may spend work on quantities that cannot change the preferred action. At the same time, a small unresolved uncertainty near a decision boundary can be decisive.
THE COMBINED APPROACH TO EVALUATEConnect the
Connect the
right responsibilities.
Connect supported estimation, numerical evaluation and constraint-solving operations around an approved decision model. Establish which unresolved quantities matter, then compare an explicit next-computation policy against a fixed-work baseline.
Avoid unnecessary refinement without lowering the customer’s stated decision or evidence standard.
HOW THE PRODUCTS RELATEThe useful
The useful
intersection.
Existing components have distinct jobs. The proposed integration connects their responsibilities without treating access interfaces as proof of a shared runtime.
Refine a relevant quantity
SpectralForge, krylov_scale/Krylov and certmc provide selected numerical or statistical operations—not interchangeable guarantees.
Choose and check the decision
UCS, UNISOLVE, MIP or a relevant specialist engine evaluates the admitted decision. ValueForge or certnum: MDP is a candidate planner only for a calibrated bounded abstraction.
Operate the sequence
AgentForge can support the work lifecycle, while resource policies and customer spending limits constrain the permitted next operations.
INTERACTIVE STUDY / NOT A PRODUCT BENCHMARK
See the connection.
A local browser illustration of the idea. No customer model is uploaded and no SpinForge engine is invoked.
0 ≤ θ ≤ 1. The marked boundary is θ = 0.75.
Exactly two feasible actions are stipulated. Their costs are A(θ) = 100 + 10θ and B(θ) = 106 + 2θ. A − B = −6 + 8θ, so the ordering changes at 3/4. This calculation neither estimates θ nor validates the uncertainty interval you choose.
ILLUSTRATIVE DECISION
A is no more expensive throughout the interval.
Additional precision is unnecessary for this comparison under the stated assumptions.
Decision stable for the specified two-action model.
WHAT YOU COMMISSIONAn evaluation.
An evaluation.
A defined delivery.
Not another mandatory product license. Scope the model, integration, acceptance and deployment needed for the actual customer workload.
A decision boundary model
Identify the possible actions and quantities that can alter their ordering or feasibility.
A computation policy to test
Specify permitted refinement, sampling, search and proof steps with their expected costs.
An evidence-aware stopping rule
Stop only when the agreed decision and evidence conditions hold—or return an explicit unresolved result.
A matched workload report
Compare accepted decisions, total work and uncertainty handling against the fixed-work baseline.
ILLUSTRATIVE CUSTOMER WORKFLOW
Choose between two supported actions
An uncertain parameter may or may not change which action is cheaper. The browser illustration below shows a deliberately simple two-action model. It explains why uncertainty near a boundary matters; it does not execute an optimizer or establish a general policy implementation.
ACCEPTANCE MEASURES
- Total resources per accepted decision
- Decision agreement under accepted uncertainty
- Cost of refinement and checking
- Coverage and stopping-rule validity
SCOPE & EVIDENCEClear at
Clear at
every boundary.
Documented components and proposed cross-product work are not the same evidence.
What the source supports
Numerical, planning and checking components are in the supplied portfolio. Their decision-aware orchestration is proposed. The affine browser example uses declared mathematical assumptions only.
The integration to establish
Error/uncertainty contracts, decision-sensitivity analysis, calibrated action costs and a bounded next-computation policy.
What must not be assumed
A small residual is not automatically a solution-error bound. An ensemble spread is not automatically a certified uncertainty region. Adaptive sampling requires a valid stopping/coverage argument; empirical estimates cannot silently become exact proof inputs.
Products remain independently usable
Choose only the components that fit. Original and upgrade products are not additive speedups. No generalized benefit, hosted activation, certification or execution authority is implied.
SELECTED CAPABILITIESFind the
Find the
product role.
These links identify candidate contributors. They do not mean every product is required or that every connector already exists.
SpinForge + Atlas SpinSovereign SpinProof SpinCache GARMO UCS GarmoForge UNISOLVE sketchstream bnb_certified ValueForge krylov_scale SpectralForge TomoForge sinkhorn_ot enkf_scale certmc KX MemoryForge GridForge AgentForge MaxSAT CertOT Krylov certnum: MDP certnum: log-Z Batch tiny-instance Conic + model layer MIP
TAKE THE IDEA TO YOUR WORKLOADDefine what
Define what
must improve.
Start with an original model or workload, an accepted baseline and the protected requirements. Agree the comparison before promising a system-level gain.