The team
Five people. Every one with real grid experience before they wrote any software.
We didn’t pivot to energy from a general SaaS background. The founders and every team member came from energy operations, atmospheric science, or grid data infrastructure. That’s not an accident.
Ingrid Solberg
CEO & Co-Founder
Before co-founding Gridvynt, Ingrid spent several years as a resource adequacy analyst at a Mountain West regional transmission organization, where she set day-ahead reserve requirements for balancing areas with growing utility-scale solar and wind penetration. The repeated failure of single-point NWP forecasts to characterize ramp event probability — and the resulting reserve over-commitment and curtailment it produced — drove her to build the forecasting infrastructure she couldn’t find commercially. She holds a degree in energy economics from the University of Colorado Denver. Leads Gridvynt’s commercial operations and customer relationships from the company’s Denver, Colorado office.
Marcus Hale
CTO & Co-Founder
Marcus is an atmospheric scientist and ML engineer who built operational NWP bias-correction systems for aviation weather and agricultural applications at a weather intelligence firm before co-founding Gridvynt. The experience of tuning forecast models to operational decisions — where a missed probability window has a direct cost — shaped Gridvynt’s approach to accuracy measurement and the design of the ML correction pipeline. He leads all forecast modeling, NWP ensemble architecture, and model validation. Marcus holds an MS in atmospheric science from Colorado State University and a BS in applied mathematics.
Yuki Tanaka
Head of Grid Integration
Yuki joined Gridvynt from an energy systems integrator where she spent several years building SCADA and EMS interface layers for utility control room environments — including Pi System historian deployments and OATI scheduling system integrations. She leads all customer integration work at Gridvynt: asset register setup, Pi System read/write configuration, OATI push configuration, and custom SCADA protocol connectors during pilot and production. Her utility data systems background lets Gridvynt deployments skip the middleware complexity that slows down most vendor integrations with operational utility infrastructure.
Desta Birru
Lead Forecast Scientist
Desta holds a PhD in atmospheric science with a focus on mesoscale NWP verification and probabilistic forecast evaluation. Her research background in skill-score methods shapes how Gridvynt measures and reports forecast accuracy: not just aggregate MAE numbers, but bias-variance decomposition by weather regime, horizon bucket, and season — the granularity a resource adequacy team needs to decide how much to trust the forecast in each operational context. She developed Gridvynt’s wind turbine wake-sector correction methodology, which accounts for the systematic output reduction in downwind wake zones that aggregate NWP forecasts routinely overestimate.
Rafael Quispe
Software Engineer, Data Platform
Rafael leads Gridvynt’s data ingestion, pipeline, and API infrastructure. He previously built real-time telemetry systems at an industrial IoT firm and time-series data pipelines at a grid data services company. He designed Gridvynt’s low-latency NWP ingestion architecture — the system that processes new GFS, ECMWF, and NAM model runs to fully-updated asset-level forecast outputs within minutes of model operational availability. He also designed the API gateway, webhook delivery system, and the immutable audit-log data lineage pipeline. Rafael holds a BS in computer science from the University of New Mexico.
Want to work with the team?
We’re a small company and we hire carefully. If you have a background in energy operations, atmospheric science, or grid data systems, reach out.