An autonomous AI orchestration platform that generates, tests, and validates production-quality work across 76 domains and 18 industries — from software engineering to mechanical, chemical, biomedical, and aerospace engineering.
Not just software — SHAH validates work across 18 industries: mechanical (FEA, CFD, robotics, CNC), electrical (VHDL, SPICE, DSP), chemical (reaction kinetics, distillation), biomedical, aerospace, civil engineering, and more.
From Python and Rust to COBOL and Ada. Each language has a dedicated Docker sandbox, test framework, and L2 validation pipeline. 921 software engineering tests across all 23 languages.
One brain, every channel: WhatsApp, Telegram, Slack, Discord, Signal, Email (Gmail + Outlook), and this website. Plus generic webhooks for custom integrations. 31 built-in tools, shared memory, and unified CRM across all channels simultaneously.
The autonomous runner launches 3,081 tests, triages failures with AI, applies fixes, and re-runs. It runs unattended for days, converging toward 100% pass rate. Every fix is committed and tested automatically.
LLM-powered process mining discovers business stages from email history. CRM tracks every interaction across all channels. Email autopilot drafts replies (never sends without approval). Digital twin learns your writing style. Proactive morning briefings and evening digests.
Persistent cross-session memory. 5 built-in personalities + unlimited custom. Autonomous agent mode (up to 8 hours unattended). Semantic search across 61,000+ documents. MCP extensibility. AWS website deployment. Free image generation, voice synthesis, and transcription.
Message arrives via any channel (Telegram, Discord, website, email, etc.)
Gateway classifies the request and selects the optimal AI provider and model
Supervisor plans the task, worker executes with 31 tools (file I/O, bash, search)
Docker sandbox runs tests, security scans, and integrity checks automatically
Results returned to the original channel with full execution log and artifacts
Each domain has validated test cases with Docker-sandboxed execution. From 22 programming languages to FEA solvers, circuit simulators, and drug design.
Not a chatbot. A personal AI operating system with unified memory, multi-channel presence, and proven code execution.
No other AI proves its code works. SHAH runs 3,081 tests in Docker sandboxes and grades every output A++ to F. You see the test results, not just the code.
Send a task on WhatsApp, get the update on Telegram, review results on Slack. Same memory, same personality, same context — no re-explaining.
Works independently for up to 8 hours. Breaks complex tasks into sub-tasks, executes with 31 tools, and sends progress updates. No babysitting required.
Discovers business processes from your email history. Learns your writing style. Drafts replies indistinguishable from you. Remembers everything, forever.
FEA stress analysis, SPICE circuit simulation, drug molecule design, orbital mechanics, Lean 4 theorem proving. 76 domains across mechanical, chemical, biomedical, and aerospace.
3-layer defense: prompt injection detection, PII redaction, output leak scanning. Website visitors get restricted tool access. Your private data stays private.
SHAH doesn't just generate code — it fixes its own infrastructure when tests fail. 46+ autonomous commits, zero human involvement.
Run orchestrator on a test case
Gemini 3 Flash classifies the failure
Claude Code investigates with full codebase access
Edits SHAH's own source code and commits
Test again — fix must make test pass
165 lines of XCTest sandbox integration written from scratch. SHAH had never run Swift tests before — it analyzed the failure and built the entire validation path.
200+ lines rewriting the test generator for Free Pascal's unit system. Pascal's compilation model is completely different from C-family languages.
Fixed error extraction to match Rust's error[E0xxx]: format.
Two small fixes that unblocked all 40 Rust tests from N/A to A++.