GroveStreams is the core AI data foundation — ask your data anything, get answers in seconds, not sprints. Visit our Developers page for a list of examples.
Energy & Utilities
Model rate schedules, demand profiles, and billing determinants as streams — each with its own time axis. Reason across years of meter data with temporal foreign keys linking meters to accounts, substations, and rate classes. Real-time rollups compute time-of-use aggregations as data arrives. Derived streams calculate cost, demand diversity, and load factors automatically.
Financial Services
Track how portfolios, positions, and counterparty relationships change over time — not just their current state. Every contract term, rate adjustment, and risk parameter is a stream with full history. Query across any point in time with GS SQL temporal parameters. AI forecasting models detect trends across correlated instruments.
Manufacturing & Logistics
Track equipment performance, supply chain metrics, and production quality over time. Temporal foreign keys link assets to production lines, operators, and maintenance schedules — and track when those relationships change. Real-time rollups surface trends across shifts, lines, and facilities. AI forecasting predicts maintenance needs before failures occur.
Healthcare
Store complete temporal histories for patient vitals, device readings, and treatment protocols — each on independent time axes. Query across any combination of streams with GS SQL. Alert on critical thresholds with configurable dwell times and delivery schedules. Derived streams compute rolling baselines and deviation metrics automatically.
Transportation & Fleet
Track vehicles, shipments, and equipment with full location history and temporal relationships to routes, drivers, and contracts. Geo-streams with map visualization and proximity alerts. Real-time rollups aggregate performance metrics across fleets. AI models forecast demand, fuel consumption, and maintenance schedules from historical patterns.
Buildings & Facilities
Model HVAC systems, access control, energy usage, and occupancy as temporal streams linked to zones, floors, and buildings. Combine usage profiles with energy rate structures to forecast costs and identify conservation opportunities. Derived streams calculate efficiency metrics in real time. Events and alerts notify the right people when conditions drift.
Agriculture
Weather, soil moisture, irrigation, and yield data — each as independent temporal streams on their own time axes. Temporal foreign keys link fields to crop plans, equipment, and treatment schedules. Derived streams compute growing degree days, water balance, and input cost per acre automatically. AI forecasting models project yield and resource needs from historical patterns.
