A novel, open-source software platform to optimize solar siting, rooftop solar deployment, community solar integration, and distributed storage across a city. SunHub uses a canonical, CatOpt-inspired data model to map local neighborhood optimization
Updated 2026-04-16 21:53:08 +00:00
A novel, open-source platform that enables utilities, communities, and device vendors to collaboratively plan and optimize cross-domain energy systems (electricity, heating, water pumping) while preserving data privacy. It uses a graph-contract regis
Updated 2026-04-16 21:43:50 +00:00
An open, modular platform to orchestrate energy flows in local microgrids (homes, businesses, community solar) with offline-first operation and mesh networking. It provides a common data model for energy devices (inverters, storage, meters), a plugga
Updated 2026-04-16 21:35:45 +00:00
A low-code platform that lets utilities, SMEs, and communities rapidly assemble multi-agent energy optimization applications that span cross-domain assets (electricity, water, heating) and edge devices. GridForge exposes a visual DSL inspired by Obje
Updated 2026-04-16 21:07:08 +00:00
A mobile-first augmented reality platform that uses vendor-neutral digital twins of solar panels, inverters, wind turbines, and storage assets to guide technicians on-site. It overlays real-time health indicators, maintenance steps, and safety guidan
Updated 2026-04-16 20:14:37 +00:00
Problem: Institutions require timely, cross-source sentiment and event signals for equity trading, but sharing raw signals, positions, or proprietary models across firms creates IP, compliance, and privacy risks. Current open tools either lack end-to
Updated 2026-04-16 20:09:17 +00:00
A lightweight, open-source ledger platform for recording machine-learning experiments across organizations and teams, enabling verifiable reproducibility, provenance, and auditability in federated and multi-party collaborations. MLTrail stores compac
Updated 2026-04-16 20:07:33 +00:00
A novel, open-source platform for coordinating fleets of mobile robots (delivery, inspection, disaster response) with strong provenance, auditability, and offline resilience. RobotProof Studio encodes mission planning problems using a canonical Graph
Updated 2026-04-16 20:04:58 +00:00
Gap: A missing, practical platform to federate optimization across microgrids that combine solar, wind, and thermal storage with cross-utility assets, while preserving data locality, enabling offline islanding, and providing auditable governance. Sol
Updated 2026-04-16 19:46:10 +00:00
Problem: In multi-venue trading, optimal execution and hedging decisions are created in centralized systems with round-trip latencies that miss microsecond opportunities and expose sensitive inventory signals. There is a clear gap for an edge-native
Updated 2026-04-16 19:16:03 +00:00
A novel, open-source software platform enabling multi-lab fusion experiments to share telemetry and control signals in a contract-driven, privacy-preserving, offline-first manner. It uses a Graph-of-Contracts registry to map local fusion control task
Updated 2026-04-16 19:03:36 +00:00
Problem space:
- Hazardous environments (nuclear plants, wind turbine nacelles, solar farms) demand frequent inspection and maintenance while limiting human exposure.
- Diverse robotic platforms (drones, ground rovers, manipulators) compete with inte
Updated 2026-04-16 18:56:33 +00:00
A federated forecasting platform that aggregates weather forecasts and weather-driven energy forecasts from multiple sites to improve local DER dispatch while preserving IP and privacy. It targets solar and wind microgrids, with potential extensions
Updated 2026-04-16 18:55:31 +00:00
A portable, open-source orchestration platform to optimize the placement and routing of market-data processing, strategy backtesting, and order routing across co-located data centers and edge facilities to minimize end-to-end latency, jitter, and dat
Updated 2026-04-15 20:44:04 +00:00
Problem: Space robotics fleets require autonomous planning with strict energy budgets and intermittent connectivity. Conventional CPU-based planners struggle to deliver low-latency, energy-efficient inference for onboard AGI reasoning, while external
Updated 2026-04-15 20:33:47 +00:00