Transform raw engineering intent into mathematically grounded, safety-linked specifications directly inside IBM DOORS Next, Jama Connect, and Jira. Deployed 100% on-premises or within your private sovereign VPC.
REQ_ID: SYS2_VCU_TRQ_0482
PATTERN: State-Driven Event (EARS)
While [VCU_CruiseControl_Active == TRUE]
and [VEH_Speed_CAN_Rx > 10 km/h],
when [BRK_Pedal_Depressed == TRUE],
the Vehicle Control Unit (VCU) shall transition [Motor_Torque_Demand = 0 Nm] within ≤ 50 ms.
AUDITED COMPLIANCE & DIRECT ALM INTEROPERABILITY
SOVEREIGN V-MODEL PROTOCOL STANDARDASIL A–D Grounding
SYS.2 to SYS.5 Trace
CAL 1–4 TARA Mapping
Air-Gapped Sovereign
Native OSLC Adapter
REST API Sync Link
Generalist AI generates text based on statistical probability. Critical automotive systems require mathematical determinism. Feeding system architectures into conversational chatbots is a safety violation and an intellectual property breach.
Probabilistic guessing. Standard models invent CAN signal names, guess timing tolerances, and produce varying output for identical prompts. One fabricated parameter breaks test track validation.
Discrete ontological bounds. Generation is halted if any interface or signal is undefined. Prompts engineers for missing parameters before commit. Zero drift, 100% reproducible.
Unstructured prose. Standard outputs omit ISO 26262 ASIL decomposition, ISO 21434 threat links, and ISO 14229 UDS DTC error handling frames. Useless for functional safety reviews.
Automotive schemas by default. Automatically assigns ASIL A–D decomposition, CAL 1–4 vectors, and UDS diagnostic routines ($19 DTC reporting, $27 security access) directly into specifications.
Multi-tenant cloud egress. Routing powertrain or chassis architectures to public APIs breaches confidentiality covenants and fails TISAX audits. Alternative tools force costly migrations.
Air-gapped sovereign execution. Deploys inside dedicated VPCs or on-premises Kubernetes. Connects via OSLC to IBM DOORS Next and Jama without migration, zero cloud egress.
Reviewing AI-generated text shouldn't require reading pages of low-fidelity narrative. Our Side-by-Side Diff interface isolates changes, surfaces missing safety parameters, and lets engineers approve changes with a single click.
Temperature threshold undefined. Specify thermal trigger in °C (SysML Pack Limit).
Fault response transition time required under ISO 26262-4 §7.4.
No CAN message mapped for thermal derate alert command frame.
While [BMS_Pack_Max_Temp > 55.0°C],
the Battery Management System (BMS) shall transmit
[CAN_BMS_ThermalAlert_0x3E2 == 0x02]
and derate [Max_Charge_Current_Demand <= 10.0 A]
within ≤ 20 ms.
Ready to see your subsystem requirements verified in this deterministic sandbox?
Schedule a Live Session With an Enterprise Solutions ArchitectEngineered specifically for mission-critical automotive architectures. Built to replace probabilistic hallucination with deterministic mathematical grounding.
Generic LLMs guess what comes next. The Ontological Task/Query (OTQ™) Engine validates every term against your system architecture model (SysML/UML), CAN/LIN message catalogs (DBC/FIBEX/ARXML), and operational state matrices. If an interface, unit, or response boundary is missing, the engine prompts the engineer for clarification instead of guessing.
Safety isn't a prompt afterthought—it's woven directly into the schema. The platform automatically derives and links ASIL classifications (A through D), traces safety goals, and maps cyber threat vectors (CAL 1–4 under ISO/SAE 21434). It synthesizes complete ISO 14229 diagnostic fault-handling routines, including DTC assignment and security access constraints.
Keep your requirements where they are. Our middleware functions as an intelligence layer above your existing engineering stack. Using standard OSLC protocols and REST APIs, it reads upstream requirements, flags compliance gaps, and writes audit-ready EARS requirements directly back into your production repositories.
Vehicle architectures contain your core intellectual property. Our platform is deployed as containerized services inside your air-gapped bare-metal Kubernetes cluster or private single-tenant AWS/Azure VPC. All model weights execute on dedicated local hardware. No engineering data ever leaves your secure firewall.
Whether you manage vehicle program budgets, verify safety compliance, or write embedded specifications, the platform removes your biggest day-to-day bottlenecks.
Your vehicle programs involve hundreds of engineers across multiple time zones, and the biggest bottleneck is always the handoff at the SYS.2 / SWE.1 boundary. Ambiguous specifications lead to engineering change requests (ECRs) late in the integration phase—when fixes cost 100x more.
Our platform provides deterministic quality control for requirements authoring. It works inside your current IBM DOORS Next or Jama environment, delivering high-quality, audit-ready specifications from day one without expensive migrations.
Primary Deliverable: Audit-ready specification trace ready for Tier 1 RFQ distribution.
Black-box AI is unusable for functional safety. If an assessor asks how an ASIL decomposition was determined, "an LLM generated it" means an immediate audit failure.
Our platform provides complete, tamper-evident audit logs. Every safety goal, ASIL breakdown, and diagnostic fault condition is mathematically grounded and traceable across the entire V-Model.
Primary Deliverable: Certified safety work products with zero stochastic gaps.
Converting complex control logic into rigid EARS templates is time-consuming and repetitive. When writing hundreds of requirements under tight deadlines, it's easy to miss edge cases, timing boundaries, and bus error states.
The Side-by-Side Diff interface acts as your expert assistant. It flags undefined conditions, translates rough technical notes into proper EARS syntax, and drafts corresponding HIL/SIL verification test scenarios automatically.
Primary Deliverable: High-fidelity specifications with direct SIL/HIL test linkage.
We do not ask you to replace your engineering software. Our platform integrates directly with your existing infrastructure via open OSLC and REST protocols.
Deterministic Semantic Middleware
Connects to your Jazz Team Server. Reads upstream stakeholder modules and writes validated EARS specifications back into DOORS Next with attribute mapping, baselines, and links intact.
Continuously monitors designated item types and syncs requirements in real time. Flagged ambiguities surface as review comments directly in the Jama interface.
Ingests OEM requirement packages without format breakdown. Parses matrices, applies EARS standardization, and exports verified packages back to Tier 1 suppliers without schema loss.
Synthesizes formal verification test stubs directly from EARS triggers and tolerances. Exports test scenarios directly into Vector vTESTstudio and dSPACE environments.
Validated benchmarks from active deployments across chassis, ADAS, and battery management engineering teams.
Requirements meet strict EARS syntactical patterns on the very first draft, up from an industry baseline of less than 20%.
The OTQ™ engine flags missing boundaries, timing conflicts, and unmapped signals before specs reach peer review.
Automated derivation of HIL/SIL verification scenarios cuts manual test case creation time across vehicle engineering teams.
From procurement clearance to a fully configured, air-gapped pilot integrated with your live DOORS or Jama database.
"Using this platform, our ADAS braking engineering group achieved complete ASPICE v4.0 SYS.2 compliance two months ahead of our milestone deadline. Because it integrated directly with DOORS Next via OSLC, we didn’t have to alter our engineering workflows or run risk-heavy toolchain migrations."
Architected to satisfy the strict confidentiality, IP protection, and cybersecurity demands of global automotive OEMs.
Private weights on dedicated GPUs. Zero external API calls.
Deterministic semantic parsing against SysML / DBC models.
Zero persistence ephemeral memory execution. FIPS 140-2 Level 3 HSM Keys.
Customer inputs are processed purely in ephemeral memory for prompt evaluation and ontological disambiguation. Your engineering inputs and architectures are never used to train or fine-tune models.
All data-at-rest is encrypted using enterprise AES-256 via hardware security modules (HSM) controlled entirely by your team. All intra-cluster communication enforces TLS 1.3 encryption.
Built from day one to exceed the requirements of the German Automotive Industry Association (VDA ISA). Provides role-based access control (RBAC), multi-factor authentication, and tamper-evident audit logging for every system interaction.
Tamper-evident, cryptographically signed trails recording user confirmation, boundary grounding, and safety classification histories.
Direct, technical answers for Systems Architects, Functional Safety Directors, and InfoSec Teams.
Validate the co-pilot on an active vehicle subsystem. In 60 days, your systems and safety teams will validate our deterministic authoring, test the OSLC integration with your live repositories, and measure real-world reductions in review cycles—all with zero IP risk.
Mutual Non-Disclosure Agreement (MNDA) executed prior to any technical exchange. All deployments run strictly within customer-managed perimeters.
Vehicle Subsystem Scope Qualification
A Principal Solutions Architect has been assigned. You will receive an automated MNDA and calendar invitation within 4 business hours.