Products
AI processes. Humans reason.
DELLIGHT builds products for enterprise environments where speed matters but judgment still decides outcomes. The premise is practical, not philosophical: Harvard/BCG found human-AI teams worked 25% faster and produced 40% higher-quality results, while BCG reported 95% of enterprises still see no measurable AI ROI. Each product applies the same operating model to a different domain: AI handles continuous process, humans retain authority over consequential decisions.
GLADIATOR
Dual-architecture threat detection and response
Enterprise security teams are reactive by architecture, not by choice. EDR platforms detect threats after penetration; SOC teams respond after damage begins. The fundamental gap: automated attacks execute in milliseconds while human-in-the-loop response takes minutes to hours.
How It Works
GLADIATOR uses a dual Red Team / Blue Team AI architecture where two adversarial systems operate continuously against each other. The Red Team AI probes your infrastructure using techniques derived from real-world attack patterns — finding vulnerabilities before external adversaries do. The Blue Team AI detects and neutralizes threats in real time, continuously improving its detection models based on what the Red Team discovers. This adversarial loop means the defensive system gets stronger proportionally to the sophistication of the attacks it faces — including its own internal Red Team's attacks.
Why DGX Spark
The adversarial loop requires simultaneous offensive simulation and defensive monitoring at sub-second latency. NVIDIA DGX Spark (128 GB HBM, ~4 TB/s memory bandwidth) is purpose-built for this: matrix-heavy, latency-critical dual-model operations. Consumer GPUs cannot sustain the concurrent workload; cloud instances introduce network latency that defeats real-time response.
Who It's For
Enterprises with 50+ endpoints and at least one dedicated security professional. GLADIATOR augments an existing security team — it does not replace one.
Who It's Not For
Small businesses, individual users, or organizations looking for a set-and-forget security product. The dual-architecture approach requires an operator who understands their threat landscape and can interpret the Red Team's findings.
Current Status
Built for NVIDIA DGX Spark hardware. In final development. Accepting 3-5 design partners for a 90-day controlled evaluation run alongside your existing security stack — not as a rip-and-replace deployment. Next step: a 30-minute technical scoping call with Arthur Dell to assess infrastructure fit, operator readiness, and threat model alignment.
GLADIATOR — Dual-Architecture Threat Detection
SUPERHUMAN-X
Live contextual intelligence delivered during conversations
In high-stakes conversations — negotiations, technical evaluations, sales discussions — the person with the best information in the moment has the advantage. Today, that means preparing extensively beforehand and hoping the conversation stays within prepared bounds. When it doesn't, you're improvising with incomplete information.
How It Works
Gemma 4 native audio processing on-device — no separate speech-to-text pipeline, no cloud dependency, fully offline capable. Two-tier on-device AI: Gemma 4 E2B for instant transcription and classification, Gemma 4 E4B for on-device reasoning on complex queries. Cloud frontier fallback only when depth is needed. Audio to reasoning to response in a single pass. Voice-first input, under 3 seconds to answer. Android first, Apache 2.0.
Privacy Architecture
Audio never leaves the device. No wake-word listening, no background processing, no audio transmission under any circumstance. More restrictive than any voice assistant on the market — all processing is user-initiated and on-device.
Use Cases
- ▸Executives in high-stakes negotiations needing real-time context and data recall
- ▸Enterprise sales leaders managing technical evaluations and objection handling
- ▸Technical architects in live client briefings requiring instant access to specifications
Who It's For
Professionals in high-stakes, real-time communication environments — executives, enterprise sales leaders, technical architects. People whose conversations directly affect business outcomes and who already prepare extensively for important meetings.
Who It's Not For
General consumers or casual use. SUPERHUMAN-X is designed for people whose professional context justifies the investment in a purpose-built augmentation system.
Current Status
In late-stage build. Gemma 4 native audio on Android — two-tier on-device AI (E2B for speed, E4B for reasoning), cloud frontier for depth. Voice-first, dark-only UI designed for mid-conversation use. AI-inferred context from calendar and contacts. Phase 2: smart glasses integration planned.
SUPERHUMAN-X — Live Contextual Intelligence
AI Executive Team
Functional business automation for growing companies
Companies between $2M and $50M in revenue operate with incomplete leadership coverage. The founder acts as CEO, CFO, and CTO simultaneously — not by choice, but because hiring dedicated specialists is premature at that revenue stage. The result: critical decisions in finance, legal, and strategy get made without dedicated expertise, or don't get made at all.
How It Works
Modular AI-powered business functions covering finance, legal, operations, strategy, HR, and data analysis. Each module runs on frontier AI models with function-specific knowledge retrieval and decision frameworks. Modules collaborate through structured protocols — the finance function consults legal on compliance, the technology function briefs strategy on technical risks, and decisions exceeding defined authority boundaries are escalated to the human founder. The foundation is functional capability — AI processing applied to specific business operations — not agent personas or character simulation.
Who It's For
Founders and leadership teams at companies with $2M-$50M revenue who are making executive-level decisions without dedicated functional coverage in every domain. Organizations in growth phases where the cost of poor decisions exceeds the cost of AI-augmented decision support.
Who It's Not For
Large enterprises with established, experienced C-suite teams. The AI Executive Team supplements missing functional capacity — it does not replace seasoned human professionals at organizations that already have them.
Current Status
Core functional architecture built. Inter-module collaboration protocols in active development. Targeting Q2 2026 launch. Early-access waitlist open — participants receive pricing before public launch and lock in launch pricing for 12 months.
If you're solving one of these problems, let's talk.
Direct founder access and the ability to shape what ships. No pitch deck. No sales team. A direct technical conversation.
Schedule a 30-Minute Call with Arthur