W1R3L355 is an AI-native persistent reverse engineering IDE with dynamic execution intelligence. Multi-architecture (x86/x64/ARM/AArch64) analysis of PE, ELF, Mach-O, .NET, and Java binaries with semantic recovery, autonomous software understanding, and deep malware analysis — all in one desktop application.
Autonomous agents, semantic reasoning, and graph analysis converge into a single, continuously learning security intelligence framework.
Automatic binary overview, architecture recovery (16 module patterns), binary classification (20 categories), attack surface detection (16 types), and AI investigation plans — before you inspect a single instruction.
29 dynamic modules: execution engine, coverage tracking, register intelligence, memory model, snapshots, timeline, malware investigation, and exploit validation. Static + dynamic merged in one unified workspace.
Beats IDA Pro on real malware: 3879 vs 3242 functions. Auto-detects 9 crypto algorithms, 76 anti-analysis indicators, 3027 XOR string decoders with 59 unique keys. Discovery quality score: 0.997.
Unified Finding + Evidence models, background scheduler, event bus, smart cache, incremental analysis, benchmark framework, and 9 analysis domains ready for Web, Cloud, Mobile, and Firmware security.
Custom ARM disassembler (no capstone dependency) supporting A64, A32, and Thumb instruction sets. ARM function discovery, CFG, IR lifting, sandbox execution, and decompilation. x32 hardening for ELF/Mach-O.
PE, ELF, Mach-O, .NET CIL, Java bytecode. Auto-detect Rust, Go, C++, C#, Java, Swift, Zig. Language-specific semantics: ownership, goroutines, RTTI, ObjC/Swift metadata. 113 Tauri commands, 30 views.
Not a concept. Not a prototype. A fully functional analysis platform with 190+ commits, 1,326 passing tests, and Milestone 0.12 complete.
Beats IDA Pro on real malware: 3879 vs 3242 functions. Auto-detects 9 crypto algorithms, 76 anti-analysis indicators, 3027 XOR string decoders with 59 unique keys. Discovery quality score: 0.997.
Custom ARM disassembler (no capstone dependency) supporting A64, A32, and Thumb instruction sets. ARM function discovery, CFG, IR lifting, sandbox execution, and decompilation. x32 hardening for ELF/Mach-O.
29 dynamic modules: execution engine, coverage tracking, register intelligence, memory model, snapshots, timeline, malware investigation, exploit validation. Static + dynamic merged in one workspace.
Automatic binary overview, architecture recovery (16 module patterns), binary classification (20 categories), attack surface detection (16 types), interesting function ranking, and AI investigation plans.
A multi-stage pipeline that transforms machine instructions into recovered software architecture — then validates it through real execution.
Shipping the deep-tech core first, then expanding to every attack surface — one intelligence layer at a time.
Traditional reverse engineering tools stop at disassembly. W1R3L355 recovers software architecture — types, structures, protocols, and semantic intent.
Enterprise-grade dashboards turn the intelligence layer into actionable, real-time visibility.
Early signals from security researchers and threat intel veterans validate the technical direction.
"W1R3L355 collapses what used to be a week of manual reverse engineering into hours of autonomous analysis. The deterministic grounding is what makes it trustworthy."
"The graph-based approach is a generational shift. We're reasoning over semantics, not guessing at assembly. It changes how we triage entirely."
"Autonomous agents that actually validate findings — not hallucinate them. This is the infrastructure layer the whole industry has been missing."
We're raising pre-seed to scale a proven deep-tech core into a commercial security intelligence platform. If you invest in Deep Tech, Cybersecurity, or AI infrastructure — let's talk.