Services

Ways SolverForge turns constrained decisions into production software.

SolverForge AI helps teams clarify the decision, build the model and operating surface, and integrate recommendations where people, products, and systems act.

Engagement Paths

Start where the operational decision needs the most clarity.

SolverForge work starts from the decision under pressure: what must be scheduled, routed, assigned, repaired, approved, or recommended when data, rules, predictions, and tradeoffs all matter.

01

Decision Discovery

For teams that need the decision, facts, rules, objectives, and approval boundary made explicit before committing to a production build.

  • Best For Untangling operational decisions, prediction signals, business rules, constraints, and tradeoffs.
  • You Get Decision map, data and rule audit, constraint inventory, prediction-input review, approval boundary, and build recommendation.
  • Typical Output A model-ready decision description, source-of-truth notes, risk register, and build/no-build path.

02

Decision System Build

For teams that need purpose-built software where optimization, prediction signals, explanations, and operator review belong together.

  • Best For Decisions where packaged tools, generic AI, or rented optimization APIs cannot represent the real operating loop.
  • You Get Model design, solver behavior, scoring, explanations, operator surface, retained workflow, and API boundary.
  • Typical Output Inspectable recommendations, repair proposals, testable constraints, retained jobs, and integration-ready UI or API surfaces.

03

Production Integration

For teams that need recommendations, repair workflows, jobs, dashboards, or APIs embedded where the operation already runs.

  • Best For Turning SolverForge behavior into a dependable part of a product, internal tool, or operations workflow.
  • You Get Service boundaries, event triggers, data flow, approval paths, dashboards, monitoring, and handoff.
  • Typical Output APIs, job orchestration, repair loops, operator views, operational visibility, and production handoff.

Engagement Fit

Bring SolverForge the decision behind the request.

Many projects arrive as a dashboard, routing screen, planning tool, approval workflow, spreadsheet, or AI assistant. SolverForge is most valuable when that surface has to make, repair, explain, or approve an operational decision under constraints.

Strong Fit For A SolverForge Build

When the operating decision is ready for implementation.

  • Scheduling, routing, assignment, repair, coverage, readiness, or approval drives the operation.
  • Hard rules and soft tradeoffs both affect whether the output is usable.
  • Predictions, live events, or human approval change the same decision.
  • Your team wants owned, inspectable optimization software instead of depending on a SaaS optimization API.
  • The output must land in an API, product, internal tool, or operating workflow.

Good Fit For Decision Discovery

When the request needs the decision loop made explicit.

  • The request starts as a dashboard, chatbot, spreadsheet, workflow, or one-off analysis.
  • The real decision loop is not yet explicit.
  • Rules, data, exceptions, and approval ownership need to be mapped.
  • The goal is to decide whether SolverForge should build, integrate, or recommend a simpler tool.

When A Simpler Path May Be Enough

When the request may not need custom decision logic.

  • No recurring operating decision needs to be made, repaired, or approved.
  • A packaged product already handles the workflow and there is no need to own the decision logic.
  • The work is only reporting, content generation, or strategy with no production loop.
  • If the decision loop is unclear, start with Decision Discovery rather than ruling the project out.

Delivery Path

From operating reality to software your team can use.

SolverForge work starts from the decision and ends where that decision needs to land: inside the product, internal tool, workflow, API, or pipeline the operation already depends on.

01

Decision Intake

Review the decision, data, constraints, prediction signals, users, and current stack.

02

Model Design

Define variables, constraints, objectives, explanations, repair behavior, and success criteria.

03

System Build

Build the decision logic, interfaces, outputs, and agent workflows the use case needs.

04

Production Handoff

Ship recommendations, repair loops, jobs, dashboards, or APIs into the operating environment.

Start Here

Send the operational decision, the constraints around it, and the system it has to fit into.

A rough description is enough: the decision under pressure, the data and rules around it, the people who approve or act, and the product or workflow where the output needs to land.

Contact SolverForge AI