Migration intelligence and execution control
Every migration decision, connected to evidence.
CutoverGrid turns repository state, technical dependencies, organizational ownership, and production safeguards into one continuously updated migration operating model.
One operational view
From repository state to production decision.
CutoverGrid keeps discovery, impact, execution, and verification connected so every team works from the same migration truth.
Discover the current state
Inventory runtimes, frameworks, packages, build systems, CI workflows, containers, infrastructure definitions, tests, services, and owners across repositories.
Model technical impact
Trace direct and transitive relationships across applications, services, shared packages, databases, delivery systems, and operational boundaries.
Control the cutover
Connect migration waves to acceptance criteria, validation gates, approvals, observability thresholds, and verified rollback paths.
Readiness without a black box
Scores explain what is ready, what is blocked, and why.
Readiness is calculated across dependency compatibility, code changes, test coverage, infrastructure, operations, ownership, documentation, and rollback preparation. Every dimension links to its source evidence.
- Repository-, commit-, file-, and line-level traceability
- Confidence based on evidence coverage and unresolved unknowns
- Clear remediation steps for every material finding
- Readiness recalculation after relevant changes merge
Built for execution
A migration plan engineering teams can run.
Evidence-backed findings
Compatibility conflicts, deprecated APIs, native-module constraints, legacy runtime pins, missing tests, and infrastructure risks are tied to reproducible evidence.
Effort ranges and strategy comparison
Engineering-day ranges expose assumptions, exclusions, unknowns, and confidence. Teams compare phased, canary, dual-runtime, blue-green, and coordinated cutover strategies.
Owned migration waves
Work is sequenced by dependency, risk, and team ownership with acceptance criteria, prerequisites, validation steps, and rollback conditions.
Continuous verification
Repository changes update findings and readiness. Before cutover, the platform evaluates builds, tests, performance, error rates, monitoring, rollback availability, and approvals.
Responsible intelligence
AI assists. Evidence decides.
AI summarizes verified findings, groups related work, drafts tasks, and explains tradeoffs. Compatibility decisions, migration success, security acceptance, and production traffic changes remain grounded in deterministic checks and human approval.
Move with confidence
Turn migration uncertainty into an executable plan.
Start with repository evidence and finish with a verified production cutover.