Engineering solutions for safety-critical software.
We build solutions into your architecture, toolchain and process landscape, from concept through implementation to operation.
Solutions built into your architecture, not bolted on top.
The shift to software-defined systems changes release cycles, variant spaces and deployment models. Functional safety and evidence requirements stay just as strict.
BTC Embedded Systems solutions are not off-the-shelf tools that your team has to integrate alone. They are built into your architecture, toolchain and process landscape, with formal verification as the foundation.
Verification is not a feature. It is the foundation.
For safety-critical applications, BTC Embedded Systems builds on a deterministic core secured by formal methods. Our roots are in formal verification and university research: model checking, theorem proving, constraint solving and automatic test generation have been core competencies for 25 years. Your teams get solutions that are simple to use and integrate in daily engineering work. The mathematical complexity behind them is our problem, not yours.
BTC QCore
Foundation for products, customer-specific tools and consulting delivery.
For efficient solution development, we build on BTC QCore, our foundation for software quality. QCore bundles our proven key technologies into one configurable technology base. We close the remaining gaps with targeted custom development — so new solutions come together faster, in reproducible quality, without the compromises of generic toolkits.
Every engagement starts from a different point: a new solution, an existing system landscape, a codebase with technical debt, or an automation opportunity. We choose methods by engineering judgment, not hype cycles.
Solution stories for structural engineering problems.
Each case starts from a concrete bottleneck in safety-critical development and turns it into a reproducible engineering workflow.
Variant spaces cannot be tested exhaustively, but the selection still has to be defensible.
Highly configurable product lines create configuration spaces that make any exhaustive test strategy absurd. Heuristic selection based on experience doesn't scale and won't hold up in an audit. Undetected feature interactions only surface in the field — with real consequences for recall costs and reputation.
Using constraint-based methods from our QCore technology base, we determine the minimal set of variants that actually need testing, with a mathematically grounded coverage guarantee across the entire configuration space. An unmanageable combinatorial problem becomes a provable, auditable test strategy.
When your variant management has hit the limit of what's manually controllable, off-the-shelf solutions don't meet your requirements, and you need to prove that your test selection is genuinely sufficient.
For a manufacturer with a product line of roughly 10²⁵ theoretical variants, we reduced the test-variant selection to a formally secured, operationally manageable set — provable, reproducible, audit-ready.
10²⁵ variants. Which ones do you test — and how do you prove it's enough?
Variant spaces cannot be tested exhaustively, but the selection still has to be defensible.
Highly configurable product lines create configuration spaces that make any exhaustive test strategy absurd. Heuristic selection based on experience doesn't scale and won't hold up in an audit. Undetected feature interactions only surface in the field — with real consequences for recall costs and reputation.
Using constraint-based methods from our QCore technology base, we determine the minimal set of variants that actually need testing, with a mathematically grounded coverage guarantee across the entire configuration space. An unmanageable combinatorial problem becomes a provable, auditable test strategy.
When your variant management has hit the limit of what's manually controllable, off-the-shelf solutions don't meet your requirements, and you need to prove that your test selection is genuinely sufficient.
For a manufacturer with a product line of roughly 10²⁵ theoretical variants, we reduced the test-variant selection to a formally secured, operationally manageable set — provable, reproducible, audit-ready.
Talk to our engineering team.
Tell us where your engineering problem actually is. We'll tell you whether it's a solutions problem, a consulting problem, or both.