Spark Technology Solutions bridges complex energy systems engineering with modern cloud, AI, and edge infrastructure — for utilities, grid operators, and EMS platform providers who cannot afford to get modernization wrong.
Four disciplines, applied together, cover the full path from field telemetry to operator-facing intelligence.
Aligning legacy operational technology (OT) and modern information technology (IT) landscapes into a unified, future-proof digital blueprint.
Reduces architectural debt and bridges the operational gap between field engineering and business decision-makers.
Safeguarding power generation, transmission, and distribution systems against cyber threats while automating regulatory compliance.
Protects critical infrastructure from zero-day threats while turning manual regulatory audits into real-time compliance.
Operationalizing artificial intelligence and machine learning across time-series, geospatial, and operational grid data.
Converts massive streams of raw grid telemetry into automated, high-confidence operational intelligence.
Designing cloud and edge platforms built to handle distributed energy resources (DERs) and real-time processing.
Provides scale for cloud workloads while pushing real-time computing power out to the grid edge.
Reference architectures, integration patterns, and field-tested guidance — written by the engineers who deliver the work.
A pragmatic reference architecture for utilities modernizing legacy OMS/ADMS environments — covering event-driven telemetry ingestion, topology services, and phased cutover patterns that avoid a rip-and-replace outage risk.
Field-tested integration patterns for connecting DERMS platforms to ADMS, meter data management, and DER aggregator APIs without creating a second, conflicting source of truth for grid state.
Design considerations for ingesting BMS and PCS telemetry from grid-scale battery storage assets at sub-second resolution — without overwhelming downstream analytics or SCADA historian infrastructure.
As DER telemetry, AMI, and cloud analytics platforms extend the operational technology perimeter, utilities need a segmentation and identity model built for converged OT/IT — not a retrofit of IT security tooling onto SCADA.
Representative engagements across distribution utilities, municipal power, and independent generation.
A mid-size IOU needed to modernize a 15-year-old ADMS without risking reliability across 400+ active feeders.
Delivered a canonical topology service and phased strangler-fig cutover, migrating the full territory over 11 months with zero unplanned OMS downtime.
Fragmented aggregator APIs made centralized dispatch visibility and hosting capacity enforcement unreliable.
Built a normalization layer unifying five aggregator integrations under one DER resource model with idempotent dispatch.
Cell-level BMS telemetry across a growing storage fleet was overwhelming the existing SCADA historian.
Deployed a tiered edge-aggregation pipeline and degradation model, cutting WAN egress costs while surfacing early-warning cell divergence.
Every inquiry is reviewed by a principal architect with direct energy-sector delivery experience. Tell us where your grid, DER, or data platform initiative stands today.
