SAGE
AI Chief Information Officer
Research and competitive intelligence — the measurement engine behind ULYSSES.
Products
Products first. Infrastructure second. Boundaries always visible.
If a buyer asks what DELLIGHT offers, the answer is four staged product directions: ULYSSES, GLADIATOR, SUPERHUMAN-X, and AI Executive Team. Fleet Console explains internal operating infrastructure. Each surface shows what it does, current stage, current public facts, and the access path.
ULYSSES
AI search optimization across ChatGPT, Claude, Gemini.
Live — early access available on request
Problem
When buyers ask AI tools for options, brands may be ranked, summarized, or ignored before a salesperson knows a search happened. Companies need to know how they appear, which competitors are framed beside them, and what proof gaps keep models from recommending them.
How it works
SAGE measures how DELLIGHT or a customer appears across ChatGPT, Claude, Gemini, compares ranking and framing against a stated competitive set, then produces recommendations ready for human review across product-page copy, public facts, and content updates. Longer-term visibility may depend on what future models learn from public sources; shorter-term visibility often depends on cited sources and search-backed AI answers. Pricing and access are shared directly when you request early access.
Current status
v0.3+v0.4 shipped autonomously May 2026. Engine operational on DELLIGHT as the first test subject. 30 journal entries generated. ULYSSES is live; early access is available on request, and pricing and access are shared directly.
Current public facts
Architecture validated on DELLIGHT as the first test subject. 30 journal entries. v0.3+v0.4 shipped. SAGE runs measurement and draft recommendations; ATHENA handles publishing and amplification only after human review and ratified scope.
Current access
Early access is available on request; pricing, onboarding, and access are shared directly. ULYSSES is not a public benchmark, scoring product, uplift claim, or customer-outcome timeline.
GLADIATOR
Autonomous cyber defense built around a dual Red Team / Blue Team loop.
Live — early access available on request
Problem
Security teams need a way to test and improve defensive posture before an external adversary finds the gap.
How it works
A Red Team AI probes infrastructure using attack-pattern logic while a Blue Team AI detects, responds, and improves from the findings.
Current status
Runs on NVIDIA DGX Spark hardware for local CUDA-accelerated Red Team / Blue Team testing. Early access and design-partner engagements are available on request; hardware fit is assessed during scoping.
Current public facts
Architecture direction, founder-domain fit, and the DGX Spark target are publicly stated.
Current access
Early access and design-partner engagements are available on request; production deployment, third-party benchmarking, and commercial terms are scoped in a qualified security context. Pricing and access are shared directly.
SUPERHUMAN-X
Voice-first product direction for high-stakes conversations.
Live on Android — early access available on request
Problem
Executives and operators lose information advantage when a live conversation leaves the prepared path.
How it works
Android native-audio path with two-tier on-device AI for speed and reasoning.
Current status
Live on Android; early access is available on request. Built on an Android native-audio path with two-tier on-device AI for speed and reasoning. Product-specific privacy terms — whether audio remains on-device, what data is sent for AI processing, and whether wake-word or background processing is used — are confirmed in direct written communication when you request access.
Current public facts
Android native-audio path, two-tier AI architecture, and voice-first product direction are established.
Current access
Early access is available on request; product-specific privacy terms and deployment scope are confirmed in direct written communication. Pricing and access are shared directly.
AI Executive Team
Functional business support for founder-led companies missing full executive coverage.
Live — early access available on request
Problem
Founders often carry CFO, CTO, legal, and strategy decisions before the company can support a full senior bench.
How it works
Modular AI-assisted functions process defined work, collaborate through structured protocols, and escalate consequential decisions to the founder.
Current status
Live; early access is available on request, with intake through direct written communication to the founder.
Current public facts
The operating thesis, founder use case, and request-based early access are public and stage-honest.
Current access
Early access is available on request; onboarding and first-call scope are set when fit is assessed. Pricing and access are shared directly.
The AI Executive Team
The product, made concrete: a C-suite of specialist AI operators, not human staff. Arthur Dell is the only human; he keeps consequential authority.
ATLAS
AI Chief Technology Officer
AI development — the Dark Factory where the products are built.
ARCHANGEL
AI Chief Architect
System architecture across the operating fleet.
ATHENA
AI Chief Marketing Officer
Marketing — publishing and amplification, only after human review.
MORGAN
AI Chief Financial Officer
Finance and the commercial layer.
REIGN
AI Chief Revenue Officer
Revenue and sales.
ELEANOR
AI Chief Legal Officer
Legal and compliance.
CLARA
AI Chief of Staff
Coordination across the fleet — built SLATE, the visual-intelligence product.
GEPPETTO
AI Head of Consumer Products
Consumer product direction.
Visual intelligence
SLATE — Dynamic visual intelligence
Renders dynamic visuals with sub-second response to text or voice. Assimilates customer context to the specific user's needs.
Operating Infrastructure
Internal infrastructure that explains how DELLIGHT works.
Measurement live on DELLIGHT; ULYSSES early access available on request
SAGE measurement engine
Built on public research anchors including generative engine optimization (GEO), AI commercial evaluation studies (ACES), and model bias research. In plain English: it checks whether AI systems can find, describe, and recommend a company correctly.
Current state: Architecture validated on DELLIGHT as the first test subject. 30 journal entries. v0.3+v0.4 shipped autonomously May 2026.
Public scope: ULYSSES early access is available on request. The current public surface is a tenant-zero measurement engine, not a public benchmark, scoring product, uplift guarantee, or customer-outcome timeline. Pricing and access are shared directly.
Internal coordination layer
Fleet Console
This is how DELLIGHT coordinates its own AI operators. It is shown publicly to explain operating discipline, not because it is something a buyer can purchase today.
Current state: Fleet coordination is active and informs how DELLIGHT runs its own launch work.
Public scope: Fleet Console is shown to explain DELLIGHT's internal coordination discipline; it is not sold as a standalone customer product today.