VoidCat RDC designs agentic systems that amplify human intellect, automate tedium, and unlock creative potential. Security-hardened, ethically transparent, deployed globally with zero compromise on privacy or responsibility.
Our Ethical FrameworkSmarter, safer crypto automation that blends real‑time news sentiment with classic indicators — built with safety controls from day one.
Read the announcement →Choose your path through our ecosystem.
Grant Automation, Reasoning Core, Forbidden Library—production-ready AI systems.
Context OS thesis, tool governance frameworks, security research, and publications.
Short, practical episodes on agentic AI, MCP governance, and edge engineering.
Mission, team, values, and the story behind our approach to agentic AI.
Security-first, production-ready solutions for enterprises at scale.
Pitch deck, financial projections, market analysis, and Series A readiness.
The AI industry races toward autonomy and scale. We build augmentation and trust. Here's the difference.
Most AI companies race toward autonomous systems. The narrative: bigger models, fewer human decisions, faster automation. But this approach creates fear—justified fear—of job loss, obsolescence, loss of human agency. The industry has confused growth with responsibility.
Agentic AI is expanding uncontrollably. The market is projected to grow from $7.06B in 2025 to $93.2B by 2032—a 44.6% compound annual growth rate. Enterprise adoption is accelerating: 25% of GenAI companies are launching agentic AI pilots in 2025, rising to 50% by 2027. This is not a trend; this is a structural shift in how software operates.
VoidCat RDC builds instruments of amplification, not replacement. Our systems are designed to work with human judgment, not substitute it. They automate the tedium—research, drafting, analysis—so humans can focus on the decisions that matter. Our tools are built for co-pilots, not autonomous pilots.
Expansion demanded a universal standard. Autonomous agents require secure, bidirectional connections to data sources and tools. Without standardization, each integration becomes a custom implementation—an N×M problem that scales exponentially with complexity. The industry needed a protocol that could unify this chaos.
Transparency, Safety, and Human Authority. We publish our development practices (5-Gate process, security baselines, FLAGS quality schema). We implement security-first defaults (OAuth 2.1, RFC 8707, zero-trust architecture). Most importantly: humans make the final decisions. Our agents suggest, inform, accelerate—but never circumvent human oversight.
The industry chose MCP. In March 2025, OpenAI adopted the Model Context Protocol across ChatGPT, Agents SDK, and Responses API. In April 2025, Google DeepMind confirmed MCP support for Gemini models. What began as Anthropic's open-source initiative became the de facto industry standard, with integrations from Zapier, Asana, Block, Apollo, Zed, Replit, and Sourcegraph.
We lead through trust, not hype. While others chase bubble metrics and speculative features, VoidCat RDC focuses on utility: What actually improves human capability? What can we build that lasts? What security measures prevent harm? Our roadmap prioritizes trust and reliability over press releases and speculation. This positions us as the antithesis of the reckless race.
We built on MCP before it was the standard. VoidCat RDC's architecture was MCP-native from inception, establishing us as domain experts before industry-wide adoption validated the approach. More critically, when security researchers identified fundamental vulnerabilities in June 2025—nearly 2,000 servers lacking authentication, over-permissioning issues, and prompt injection vectors—we were positioned to lead the solution. We are implementing OAuth 2.1, RFC 8707 Resource Indicators, and structured validation as the industry standard while competitors scramble to retrofit security.
Augmentation that works, secured by default. Grant Automation helps founders discover and draft proposals (humans decide what to pursue). Reasoning Core amplifies analysis capability (humans validate conclusions). Forbidden Library gives teams local-first, privacy-protected AI access (humans retain data control). Each product is designed around human authority, not replacement.
Our products are the tangible results of that foresight. Grant Automation, Forbidden Library, and the VoidCat Reasoning Core are not vaporware or roadmap items. They are production-ready systems, MCP-compliant, security-hardened, and deployed at the edge across 330+ Cloudflare cities. They represent the convergence of technical architecture (MCP-native, OAuth 2.1), platform innovation (Cloudflare Containers, Workers AI), and market timing (explosive growth, proven demand).
Every tool we build is designed as an instrument of amplification. Humans remain in authority. Our products automate complexity, not decision-making.
Amplify Funding Discovery: Accelerate the research and drafting your team would do anyway—faster, more thoroughly.
AI-powered discovery surfaces opportunities, generates compliant drafts, and highlights competitive gaps. Your team reviews, refines, and decides what to pursue. Humans stay in charge; tedium is eliminated.
Result: Founders spend less time on paperwork, more time on strategy.
Amplify Team Analysis: Partner with AI that works the way you think—planning complex tasks, retrieving relevant information, and explaining reasoning.
Python engine with transparent reasoning, audit logs, and human checkpoints. Orchestrates analysis workflows; humans validate results. MCP-native, security-hardened, deployable anywhere.
Result: Teams handle complexity faster. Decisions are backed by thorough analysis, not AI authority.
Amplify Capability, Protect Privacy: Local-first AI access with zero data exfiltration. Your team gets AI superpowers without surrendering data control.
Desktop app with on-device inference, encrypted storage, and MCP tools. Works offline. Data never leaves your machine. Enterprise compliance built in.
Result: Teams gain productivity. Organizations maintain data sovereignty and regulatory compliance.
Built on the Model Context Protocol before OpenAI (March 2025) and Google (April 2025) adoption. Early expertise now validated as industry direction.
First to implement OAuth 2.1 and RFC 8707 compliance, addressing vulnerabilities identified in June 2025. Security-first as competitive advantage.
Cloudflare Workers across 330+ cities. Zero cold starts, 3M+ developer ecosystem, Container support (June 2025), Node.js HTTP (Sep 2025).
Not just frameworks or tools. End-to-end: reasoning core → MCP integration → desktop UX → serverless delivery → revenue model.
Digital Sanctuary Network (DSN): proprietary multi-agent orchestration platform. Context OS thesis: foundational research for agent efficiency.
FLAGS quality enforcement (≥8 target), 5-Gate development, automated CI/CD with Codacy integration, Playwright E2E, security baselines.
We are positioned at the convergence of MCP standardization, agentic AI explosion, and edge computing evolution.
Our products emerge from a commitment to engineering rigor. Three pillars define our approach:
8+ score target across Functionality, Latency, Accessibility, Graceful degradation, Extensibility, Security, Observability, Sustainability. Every PR evaluated on all dimensions.
Concept → Development → Integration → Staging → Production. Mandatory checkpoints with clear exit criteria. No shortcuts to production.
OAuth 2.1, RFC 8707, sandboxed execution, audit logging. Defense in depth. Zero trust architecture. Regular penetration testing.
Short, practical episodes on agentic AI, MCP implementation, and edge engineering. Deep technical content, zero fluff.
Deep dive into Model Context Protocol architecture, why OpenAI and Google adopted it, and how it solves the N×M integration problem for agentic AI systems.
Full show notes →Implementing OAuth 2.1 and RFC 8707 for secure MCP server authentication, addressing the security vulnerabilities discovered in June 2025 research.
Full show notes →Building an AI-powered crypto trading bot using Freqtrade and LLM integration on free infrastructure. Complete architecture, zero-cost deployment, and risk management.
Full show notes →Strategic insights, architectural analysis, and editorial commentary on the agentic AI revolution.
Q4 2025 strategic briefing on the agentic shift, BigSaaS disruption hypothesis, and the convergence of 6G and edge computing. Why platform engineering is the new moat.
Read more →Hardware wars (NVIDIA vs Qualcomm vs AMD), the multiagent revolution, and governance frameworks for agentic AI. Strategic commands for VoidCat RDC's path forward.
Read more →Silicon supremacy, digital empires, and the hardware wars shaping agentic AI. Analysis of the strategic landscape and implications for developers building the next era.
Read more →Foundational research on agentic AI, edge computing, and privacy-first systems. Our work drives industry standards.
Comprehensive framework for managing agent context and tool selection. Demonstrates 40% improvement in accuracy and 60% reduction in token overhead.
Download PDF →Analysis of routing strategies for complex queries, comparing RAG-first vs Tool-first approaches with real-world benchmarks and performance trade-offs.
Download PDF →Deep technical analysis of deploying reasoning engines on edge networks, covering optimization techniques, cost models, and deployment patterns.
Download PDF →Investor inquiries: sorrowscry86@voidcat.org
Partnership & collaboration: GitHub @sorrowscry86
General information: Company overview • Investor materials • Research & IP