Four capability areas. One execution partner.
SharpSigma solves industrial problems that cross functions. Engineering defines the solution; industrialization makes it production-ready; operations improves performance; automation & AI removes friction. Need parts supplied? Go directly to Manufacturing.
Design it. Fix it. Define it.
Physical product and technical problem-solving—from failure recovery to technical definition and validation.
Failure analysis & engineering recovery
Separate symptoms from mechanisms, define evidence and recover the technical solution.
Reverse engineering & custom parts
Recreate, redesign or replace obsolete and difficult-to-source components.
DFM, tolerances, fixtures & tooling
Turn technical intent into something that can be built, inspected and used reliably.
Inspection & validation
Confirm that the technical output meets the intended requirement and operating condition.
Make it production-ready.
Bridge engineering intent and repeatable production with evidence, controls and launch discipline.
Process & equipment readiness
Process definition, equipment qualification, capability, capacity and run-at-rate.
Supplier readiness
Technical readiness, APQP, PPAP, PFMEA, Control Plan and unresolved-risk closure.
Launch & ramp
Gate management, production validation, ramp-up support and stabilization.
Make the operation perform.
Improve capacity, throughput, quality, flow, cost and the management system behind the numbers.
Capacity, bottlenecks & throughput
Find the real constraint and improve output without assuming more equipment is the answer. Common triggers include missed demand, chronic overtime, unstable cycle time, long changeovers and capacity decisions that lack reliable evidence.
Lean, flow & reliability
Reduce friction from downtime, changeover, imbalance, excess motion and poor operating discipline. Common triggers include recurring downtime, excess WIP, schedule instability, slow recovery and local improvements that do not move total output.
Quality & capability
Root cause, SPC, MSA, process capability, supplier quality and corrective-action effectiveness. Common triggers include repeat defects, weak containment, unstable Cpk/Ppk, customer escapes and corrective actions that do not hold.
Quality systems & certification readiness
IATF 16949:2016 and ISO 9001:2015 implementation/readiness, VDA 6.3 process-audit preparation, FMEA, Control Plan, APQP, PPAP, SPC, MSA, audits, corrective action and team training.
Management systems
KPI systems, daily management, action governance and continuous-improvement discipline. Common triggers include reporting-heavy meetings, unclear ownership, overdue actions and metrics that do not produce decisions.
Automate friction. Improve decisions.
Apply automation, AI, data and knowledge systems to specific engineering, quality, supply-chain and operations work where measurable leverage exists.
Workflow & reporting automation
Reduce repetitive administrative work and connect information to action. Useful when teams repeatedly collect, reconcile, format or re-key the same operational information.
Practical AI implementation
Use AI where it can reduce analysis time, improve access to technical knowledge, accelerate bounded decisions or strengthen repeatable workflows. Useful for document review, standards-to-checklist conversion, structured comparison, governed retrieval and decision support—with defined sources, ownership and human review where required.
Data & decision support
Make standards, documents, operational data and organizational knowledge easier to use. Useful when approved information exists but people lose time finding the right revision, extracting requirements or translating knowledge into action.
Use the capability in the way the project needs.
SharpSigma can engage as an advisor, execute a defined project, embed with the team, provide fractional leadership, or coordinate a cross-functional managed execution.
Advisory · Project · Embedded · Fractional · Managed
The engagement model follows the outcome—not a fixed consulting template. Scope, deliverables, acceptance criteria and verification are defined around the actual problem.
Discuss a Challenge →Go directly to Manufacturing.
Manufacturing is the buying path when the requirement becomes a supplied part or production order. Capabilities is the problem-solving path for engineering, launch, quality, operations and automation challenges. A project can move from one path to the other when execution requires it.