Game Studio
A school pilot is running and producing the evidence needed to refine product, curriculum, and classroom operations.
INVESTOR OVERVIEW
As AI increases the amount and speed of available intelligence, people need better systems for preserving evidence, uncertainty, timing, context, and human accountability.
Ordovance is building decision-navigation systems for the places where ordinary software stores outputs but loses the structure of how people know, decide, communicate, and adapt.
THE PORTFOLIO
Build a game. Train your thinking. Learn AI.
Live school pilot→02READ + NAVIGATEThe GPS for consequential conversations.
Production-stable · one paying customer→03MANAGE + REMEMBERAn operating system that remembers, reasons, and coordinates.
Working application · shared-backend migration in progress→04ACT + CAPTUREGround truth starts at the edge.
Working application · field validation next→MATURITY, WITHOUT PUFFERY
A school pilot is running and producing the evidence needed to refine product, curriculum, and classroom operations.
Production-stable with one paying customer. The coarse reading foundation works; finer interpretation remains active R&D and the Brain connection is being developed.
Both are working, Brain-enabled applications. Bearing is migrating toward shared infrastructure; Field still needs a complete live field day.
Both engines are built to specification and remain unwired. Virality is a future engine, not a present capability claim.
COMMERCIAL PATHWAYS
School, program, family, and adult-learning pathways for Game Studio after pilot, safety, and purchasing evidence.
Vantage can serve sales, negotiation, leadership, deal, coaching, and private executive settings where movement matters more than sentiment.
Bearing can coordinate people, properties, employees, accounts, relationships, communication, and nested work after the shared-backend migration.
Field Engine can serve solo workers or become the employee-facing layer connected to Bearing or another company system.
WHAT MUST BE PROVEN
Convert sophisticated founder-built software into maintainable, multi-user products.
Prove repeatable demand beyond first users, pilots, and private demonstrations.
Complete privacy, student-data, retention, and school-contract decisions with counsel.
Keep the portfolio legible while sharing engines, infrastructure, and a company thesis.
Turn field and classroom evidence into a disciplined product roadmap rather than feature accumulation.
Arye’s work spans decision systems, AI evaluation, applied prototypes, presentations, workshops, certification, and private advisory. He has also been privately invited to present decision-intelligence work to a global energy technology company. That invitation is context—not a customer, partnership, or endorsement claim.
Company and founder →