An enterprise AI engineering platform for OEMs, Tier 1s and automotive software companies: it carries process, collaboration, traceability and quality governance, with multi-agent generation, execution and tracing of development artifacts — bringing AI genuinely into engineering workflows.
Governed control plane · Execution plane at the workbench
Unified model access (AWS / Azure / GCP / local models), MCP tool protocol, sandbox isolation, multi-agent orchestration and scheduled tasks.
Unified management of project plans, tasks, dependencies and state transitions; quality gates and approval evidence leave a governed, auditable trail.
Requirements engineering, architecture and detailed design, code review, test-case design, unit testing, functional safety analysis (HARA / FMEA) and cybersecurity analysis (TARA).
Multi-channel traceability matrices (Git / Confluence / Polarion), coverage and versioned snapshots to satisfy audit and certification evidence chains.
Connectors for Jira, Git, Confluence, SharePoint and Polarion; compatible with test tooling ecosystems such as Vector CANoe.
SaaS subscription / on-premises / hybrid deployment (intranet server with desensitized cloud model calls); TLS 1.3 transport encryption and AES-256 storage encryption.
System-to-software requirement decomposition, coverage and consistency checks; forward architecture generation and reverse modeling of existing code.
HARA, FMEA, TARA and other work products are generated relay-style by agents, with expert sign-off points and evidence chains preserved.
Traceable test cases generated at component-integration, domain-controller and vehicle levels, aligned with project acceptance criteria.
