Delta ArcWorking applications.
Public architecture, private implementation.
Selected case studies across machinery, public markets, prediction markets, CRM, age-inclusive technology, and cross-system intelligence. Delta Arc publishes enough to explain the operating value without exposing private data or proprietary mechanics.
One reasoning discipline across very different markets.
The portfolio is broader than the applications shown here and continues to be enhanced. These examples demonstrate how Delta Arc moves from fragmented evidence to a functioning decision product.
Machine Blue Book
A public industrial intelligence engine combining machine identity, specifications, reference content, market context, valuation, listings, and inquiry paths.
Read the case study →Risk-Tiered Market Intelligence
A private, multi-tier market intelligence application that translates risk appetite into disciplined trade selection using more than 20 years of analyzed market history.
Read the case study →Binary Markets Dashboard
A private prediction-market dashboard that classifies open markets, compares trends, and preserves a reviewable analytical and trade history.
Read the case study →Adaptive CRM Intelligence
Delta Arc's private CRM intelligence application uses a vertical-agnostic reasoning baseline, then adapts to the terminology, evidence, and outcomes of a specific industry.
Read the case study →Technology Companion for Older Adults
A private, age-inclusive application that helps older adults interact with and learn technology through simple, contextual guidance.
Read the case study →Intelligence Overlay Application
A private intelligence overlay that connects context, evidence, and next-action reasoning across existing systems without replacing them.
Read the case study →Vertical-agnostic at the core. Industry-specific in operation.
Identity, chronology, provenance, state change, qualification, ownership, and next-action reasoning are reusable across markets. Delta Arc begins with those durable standards, then adapts terminology, thresholds, workflows, exceptions, and feedback to the industry and users where the application operates.
That approach shortens the learning curve without freezing the product at a generic baseline.
What remains private
- Customer and user data
- Credentials, connectors, and deployment architecture
- Prompts, model logic, rules, and scoring weights
- Trades, positions, private communications, and CRM records
- Client-specific qualification and operating methods
Delta Arc builds the intelligence layer around the real decision.
New applications and product capabilities remain in active private development. Public case studies will expand when they can add useful evidence without disclosing protected implementation details.