We engineer state-of-the-art distributed autonomous agents running on a unified memory architecture, tailored for the future of spatial computing and AR glasses.
An event-driven, sandboxed, multi-agent coordination engine optimized for low-latency code execution and persistent state retention.
Traditional agentic loops waste massive compute cycles. Antigravity uses an asynchronous event-driven callback model. The system wakes the master coordinator only when a subagent posts a completion ledger entry.
A 12-agent CrewAI team operating 24/7 autonomous shift rotations across all systems.
System structural integrity, gap analysis, macro-routing audits, and architectural scaffolding.
Local Ollama training corpus generation, LLM operations, and QLoRA fine-tuning.
Automated code fixes, database migrations, Swift compilation, and Fastlane scripting.
Full AST parsed codebase reviews, dependency auditing, and compliance verification.
Apple Silicon optimization, telemetry recording, and system performance monitoring.
Routing sync, RabbitMQ integration, system endpoints validation, and cross-repo mapping.
24/7 uptime monitoring, daemon logging, security alerting, and network scanning.
Rich compliance logs, legal briefs, PDF generation, and automated contract authoring.
Advanced dev blog articles, priority sorting, LinkedIn distribution staging.
Glassmorphic analytics widgets, dynamic JavaScript routing, and search integration.
Sprint retrospectives, progress indicators, daily digests, and milestone tracking.
Semantic document indexing, vector DB management, RAG optimization, and wiki pruning.
Designed for the edge. Powered by Apple Silicon. Ready for the spatial future.
The central nervous system. Runs the Antigravity MetaOS coordinator, the SQLite Command Center database, the S.A.B.E. Native C++ engine, and local MLX models natively on Apple Silicon's Unified Memory Architecture.
A high-fidelity glassmorphic tactical interface. Gives human operators remote oversight, live telemetry, and direct command input into the autonomous agent workforce from anywhere.
Edge nodes providing hardware telemetry, distributed environmental monitoring, and network scanning. Constantly feeds secure sensory data back to the Mainframe for real-time processing.
From first conversation to autonomous deployment in four deterministic phases.
We audit your existing systems, map your business requirements, and decompose them into a structured SQLite database.
Every feature, screen, and integration is encoded as a traceable requirement with priority, status, and source file mapping.
Our 12-agent AI workforce executes 24/7 autonomous shifts — compiling, testing, fixing, and iterating until 95%+ compliance is reached.
Verified builds ship to TestFlight, Firebase, or App Store automatically. You own 100% of the code and infrastructure.
[14:02:11] 🚀 PHASE 1: PROJECT SCAFFOLD
[14:02:14] 📋 Requirements loaded: 143 total
[14:03:05] 🔧 Fixing Views/BookingView.swift (0 errors)...
[14:05:30] ✅ App Store Readiness: 98%
[14:05:35] 🚀 Deploying to TestFlight...
Small businesses and startups die waiting on developers. Black Armor AI removes the human bottleneck. Our self-healing pipelines compile, detect errors, and iterate autonomously.
By enforcing architecture through a central database, we ensure your intellectual property remains pristine, modular, and instantly scalable.
A sovereign, self-healing stack running entirely on Apple Silicon — built from the kernel up for multi-agent coordination.
Shifts agent communication from busy-waiting loops to a reactive architecture using local IPC and SQLite write-ahead logs (WAL). 98% reduction in background CPU.
Leverages macOS APFS copy-on-write clone-file sharing to instantly duplicate workspaces for isolated agent testing in <2ms, saving 95% disk space.
Optimizes local QLoRA fine-tuning pipelines using Apple Silicon's UMA. Maps arrays directly between CPU and GPU for 5x faster training cycles without PCIe bottlenecks.
Offloads compute-heavy tasks like sprite asset slicing and telemetry hashing to a native C++ extension layer compiled with strict clang architecture optimization.
Static analysis parser using Python's AST module to semantically map the monorepo, achieving 99.5% discovery rate of code gaps prior to runtime.
The transition from screens to spatial computing requires an entirely new operating paradigm.
Black Armor AI anticipates the upcoming shift to Meta Glasses and augmented reality headsets. By offloading heavy compute to the macOS Mainframe, we deliver a zero-latency spatial interface directly to your AR visuals, powered by autonomous intelligence.
Deep-dive technical case studies detailing the architecture behind each autonomous solution.
How we engineered a 100% sovereign, 11-phase agentic pipeline using local MLX Qwen2.5-Coder models and SQLite requirements to dynamically draft and compile 38 publication-grade grant proposals in seconds.
Read Narrative →How we engineered a unified Swift/SwiftUI control plane and auto-generated FastAPI wrappers to coordinate local services, agents, and gateways on Apple Silicon.
Read Narrative →How we mapped our deterministic App Store development factory onto a 12-Level RPG and integrated a pure mathematical Digital Twin to autonomously play, balance, and price our game economy.
Read Narrative →How we built a 17-table SQLite database capturing every activity, requirement, build error, design decision, and lesson learned — turning institutional memory into an automation blueprint.
Read Narrative →How we bypassed manual code-churn by driving the Crown & Coil SwiftUI generation via a strict SQLite requirements database.
Read Narrative →Building the Crown & Coil desktop companion app using shared CoreData + CloudKit pipelines without duplicating effort.
Read Narrative →Breaking down the mathematical logic and ScrollView physics required for the Aura Bookings date selection component.
Read Narrative →How EngageOS handles voice intake, parses raw audio into structured JSON, and autonomously updates CRM data.
Read Narrative →Implementing secure WebSocket connections to feed the sbb_master_engine stdout directly into the Project Nebula iOS dashboard.
Read Narrative →How we bypassed Chrome CORS errors and strict LinkedIn API scopes by engineering a cloud-native GCP callback handler for our autonomous dev blog scheduler.
Read Narrative →Stop paying for hours. Start investing in autonomous outcomes.
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