AI-assisted engineering for safety, cybersecurity and compliance
Functional safety and compliance software,from concept to evidence
Build HARA, FMEA, TARA and requirements by hand or from AI drafts, review every decision and keep evidence traceable across five industry profiles and the EU Cyber Resilience Act.
Both run as managed cloud (EU hosting by agreement), private cloud or self-hosted.
Early validation
Checked against the standard, not just demoed
Independent ISO 26262 gap analysis
Item definition and HARA checked clause by clause
In September 2026 an independent functional safety consultant from Germany (ten years in automotive safety management and ISO 26262 assessments, independence level I3) checked the item definition and HARA workflows in ASF Core against ISO 26262-3:2018 Clauses 5 and 6 (58 requirements) in two working sessions and delivered a written gap-analysis report. Open findings are being closed. A gap analysis is not an ISO 26262-2 assessment or evidence of conformity.
AltaLab Fall 2026
Altair Capital accelerator sprint
Aegis SafeForge took part in the AltaLab Fall 2026 online sprint, Altair Capital’s programme for early-stage AI companies (closed September 2026). Positioning, wedge and go-to-market were worked through with the programme’s mentors.
Design-partner pilots
First pilots are being scoped now
Pilots run on one real workflow with your own data and named reviewers, with acceptance criteria agreed up front. Pilot findings shape the roadmap.
Pair requirements with your ALM, track work in Jira and exchange analyses with medini analyze. Inbound changes are previewed and reviewed; ASF never approves or transitions items in the other tool.
Early-access connectors run in pilot scope and are qualified against your installation.
News & events
Updates from Aegis SafeForge
Meet us in person at
Edge lab Live at Electronica 2026
We’re presenting at edge lab LIVE! @ electronica 2026 in Munich. Our talk, “From Firmware Build to CRA Evidence,” shows how to build a reproducible, vendor-neutral SBOM and vulnerability workflow for embedded products, with a focus on the failure modes where automation falls short.