Industries we partner with
Aerospace, medical, telecom, defence, oil & gas, electronics, automotive, cyber and railway — tailored reliability solutions for each sector's requirements.
Sectors
- Space: Nothing is repaired in orbit. A satellite or launcher has to work for its whole design life on the reliability it was built with, so the analysis has to be right before it flies — and the standards say as much: ECSS-Q-ST-30-11C for derating, NASA EEE-INST-002 for part selection, with radiation, vacuum and thermal cycling on top of the usual stresses. That makes the shift-left case sharper here than anywhere else: component derating and stress analysis at the schematic stage, failure modes and their effects traced from part to mission function, and redundancy modelled rather than assumed, because a redundant string that shares a failure mode is one string. Long programmes bring their own problem — parts go out of production between design and launch — so traceable analyses that can be re-run against a replacement part are worth more than a one-off report.
- Aerospace: Unique requirements for product and fleet safety mean strict procedures and analyses for aerospace-grade systems. Standards and regulatory requirements guide the safety analysis process, including risk analyses and expensive tests, driving up equipment cost. Design time from concept to airworthiness certification can exceed a decade — during which components go out of production and replacements must be found, tested and certified. Safety, reliability and maintainability assessments during design are therefore crucial to reducing cost, risk and time to market. Design Assurance Level (DAL), defined in DO-178B and DO-254, is the aerospace variant of the Safety Integrity Level in IEC 61508.
- Medical: Medical devices must meet high standards of safety and reliability, with requirements scaling by device classification — Class III devices face stricter requirements than Class II or I. Early identification of design flaws saves a great deal against product recalls and lawsuits, so risk analysis belongs in the design process. Maintaining worldwide fleets (imaging systems, for example) is a second challenge: optimisation needs a multidisciplinary analysis of failure modes and effects, failure distributions, repair and procurement turnaround, spare-parts demand and the associated costs. BQR's tools also support performance and risk management in hospitals — identifying harmful actions, analysing unsafe conditions, intervening to prevent harm and monitoring outcomes.
- Telecom:
- Data Center: Availability is the product in a data centre: every hour of downtime is measured against an SLA, and the cost of missing one dwarfs the cost of the hardware that failed. Redundancy is the usual answer — N+1 power trains, dual feeds, mirrored cooling, spare line cards — but redundancy is only as good as the analysis behind it, because a shared failure mode turns two units into one. Reliability block diagrams and fault trees show what the redundancy is actually worth and where a single point of failure survives it. Spare-parts modelling then answers the question that decides the budget: how many spares, held where, to meet an availability or confidence target — rather than a stock level chosen by habit. The same analyses cover the electronics inside the racks, where component stress and thermal derating decide whether a board reaches its design life in a hot aisle.
- Defense: Equipment must be operational at all times, for the required mission duration, under any environmental conditions — and failure can have severe consequences. That is achievable only where reliability and safety are designed in: fault tolerance, Built-In Tests, high-quality components and rugged design. Defense systems also have long life cycles, sometimes exceeding 50 years, so maintenance and logistics programs are expensive and need a holistic view of operation and maintenance. BQR's software and services are used by leading defense manufacturers for reliability and availability assessment of C4I systems, telecommunication networks and aerospace electronics, and for maintenance, logistics and spare-parts optimization.
- Oil & Gas: A highly competitive sector with reduced profit margins, where asset downtime carries high costs in lost production, direct maintenance and possible environmental penalties. Current asset-management approaches leave a gap between reliability, maintenance and lifecycle costs (CAPEX and OPEX). apmOptimizer closes it by integrating production efficiency, operational availability, reliability, preventive maintenance, inspection, spare parts and Lifecycle Cost across the asset's lifecycle. Safety is the other concern — heavy machinery, rotating equipment and flammable materials — addressed with FMEA, FMECA and FTA to identify risk drivers and calculate event probabilities.
- Energy: Generation and grid assets are judged on availability over decades, and the cost of an outage is measured in supply rather than in equipment. Wind, solar, storage and conventional plant share the same problem: hardware in the field, expensive to reach, expected to run for twenty years or more with maintenance planned rather than reactive. Reliability block diagrams and fault trees show what redundancy is actually worth across a plant; lifecycle-cost and maintenance optimisation decide intervals and spares against an availability target instead of a habit; and component stress and derating analysis addresses the electronics inside the converters and controllers, where thermal cycling in an unconditioned enclosure is what eventually ends a board's life.
- Electronics: One of the largest global industries and a highly competitive one, where OEMs are pressed to produce high-quality products with a short time to market. The classic route to reliability — accelerated life tests in specialised labs — costs a great deal of time and money. BQR eliminates circuit design errors during the design stage instead: electrical stress calculation per component with the CircuitHawk simulator, derating analysis from those stresses, automated advanced DRC and ERC that detect hidden design errors, and schematic review driven by electrical stress simulation. For safety, FMEA/FMECA and FTA down to component level, with plug-ins to popular eCAD systems so design data arrives automatically and concurrently.
- Automotive: Modern vehicles carry dozens of Electronic Control Units, and the trend accelerates with autonomous driving. Heightened complexity brings increased risk, so functional safety analysis under ISO 26262 is essential to identify potential hardware and software failures and evaluate critical safety systems; insufficient measures lead to dangerous incidents, costly fleet recalls and brand damage. Two strategies apply: eliminating high-risk failure modes, often by redesign, and reducing failure occurrence and severity through fault tolerance and redundancy. Maintainability matters commercially too — nobody wants frequent trips to the garage — so safety, reliability and maintainability analyses belong in the automotive design process.
- Cyber: Cybersecurity protects systems, networks and software from digital attacks, and is conceptually very similar to safety — so the same tools identify and mitigate cyber weaknesses and single points of failure. Risk analysis organises threats by severity and probability using FMEA; layers of protection are analysed as combinations of events using fault trees; and testability analysis confirms full coverage and threat-isolation capability of the monitoring system.
- Railway: