Power grid.

Decentralization & decarbonization meets data integration.
Flow of electrons needs to match the flow of data.

Future distribution grid-edge challenges need to be met with digital solutions.

  • Microgrids, DERs & Resiliency

    Re-imagining of distribution system to support Distributed Energy Resource (DER) boom, DER capacity to reach 387GW by 2025 in US.

  • FERC2222 Roadmap & Impacts

    Broader market participation of DER aggregations & need for accurate distribution network model simulations: load flow, circuit overloads, key impacts.

  • Sustainability & Climate Risk

    Solutions to monitor vegetation, storms, outages, wildfires, carbon-impact - critical infrastructure, undergrounding decisions, reliability focus.

  • Grid Modernization

    Current infrastructure report card "C-", investment gaps, focus on condition, capacity, operations, maintenance, resilience, public safety & innovation, sustainability.

We are responding to the transformation of the grid's infrastructure & architecture - and the data opportunities it brings.

The grid edge is evolving, becoming more complex, generating more data, requiring utilities to re-think & transform from core enterprise architecture to digitalization of operations and re-imagining customer experience.

Decentralization, Distribution, Disintermediation, Decarbonization, Data

  • Data streaming challenges: Real-time alerts, 5-min/15-min meter data, SCADA, bi-directional data flows, monitoring & control, etc.

  • Data management challenges: OT/IoT/IT data, enterprise systems: GIS, OMS, CIS, DERMS, ADMS, etc.

  • Data strategy challenges: Common data platform, data centralization, enterprise architecture, self-service, in-house development, etc.

  • Data intelligence challenges: Condition monitoring, predictive, prescriptive, AI/ML, analytics, etc.

  • Data architecture challenges: Legacy infrastructure, governance, data silos, acquisition, integration, low-code/no-code, etc.

Our data apps.

Create an intelligent data network that captures grid asset interconnections and linkages right within the data fabric itself.

  • Rapid low-code no-code data integrations

  • Supports rapid acquisition & storage of complex IoT, IIoT, IT, OT, geospatial data

  • Automation of many data management & advanced analytics processes

  • Scalable & open architecture supports edge streaming & single source of industrial big data

  • 10x faster application development with 70% less resources

  • Supports frictionless self-service data collaboration & analytics

  • Federated data access, controls, security, governance built-in

Integrate for the very last time and harness the 70% data never used.

  • Centralized data integration layer.

    Integration from multiple sources: databases, data warehouses, cloud storage, API, and more.

    Copyless integration.

  • Map & transform data from different formats and schemas.

    Mapping and transformation of data between new and old data models seamlessly.

  • Common semantic model and leverage domain ontologies for universal data model.

    Change schema without breaking application code.

    Handle schema modification via data virtualization.

  • Data browser to search data network.

    Expand and collapse data set relationships.

    Ease of data exploration whilst visualizing data governance attributes.

  • Data lineage tracking, data masking, controls, security built in.

    Create enterprise wide smart contracts to deploy in data fabric.

  • Store and structure data for rapid application development and use cases.

    Encode real-world flows and interactions between physical assets (systems, networks, components).

  • Connected data for rapid dashboards, process flows, web and mobile apps.

    Rapidly iterate and make changes fit for purpose.

The grid edge is evolving, becoming more complex, generating more data, requiring utilities to re-think & transform from core enterprise architecture to digitalization of operations and re-imagining customer experience.

The grid of the past…

Unilateral top-down grid-architecture

The data architecture of the past…

Unilateral top-down data-architecture

The grid of the future…

Bi-directional, ground-up grid architecture

The data architecture of the future…

Bi-directional, ground-up data architecture

Legacy architectures will not work.

Data contextualization to form a universal data model is a huge task because data is stored as rows and columns, devoid of its real world context, flows, and interactions.

Legacy Data Architecture & Approach Challenges

  • Expensive & time-consuming point-to-point data integrations

  • Fragmented & siloed data landscape - difficult to acquire & connect data from complex industrial systems

  • Data mgmt. & advanced analytics processes are still very manual

  • Expensive & time consuming app-dev workloads & SaaS vendors

  • Lengthy & costly implementations & customizations

  • Self-service data & analytics is only a vision

  • Resource intensive & slow time-to-market

  • Lack of 'single source of truth', data, access, controls, & governance

  • Legacy & failing infrastructure

From a top-down grid to a bottoms-up grid means data management requires a re-think.

Orbyfy data fabric approach.

Data contextualization is an intrinsic property of the semantic knowledge graph-based data fabric, creating real-world relationships and data flows between assets, components, systems, and networks. Richer & deeper connections beyond APIs.

Orbyfy’s data apps changes the way how data is stored and connected, creating a universal data model that can be continuously extended without breaking linkages and code. Create network relationships, hierarchical relationships, data connectivity relationships - mimic real world flows and interactions in data itself.

From data management to real-world semantic knowledge representation in an unbreakable universal data model, i.e. data + context (metadata) combined.

Our built apps.

Risk-based dashboard of the distribution grid combining IoT sensor data, GIS, OMS, SCADA, AMI and more. Crews respond faster, worker safety is prioritized, feeder capacity is understood to plan for the future impacts of EV & distribution, and underground cable asset health is analyzed. All in one spot. All in real-time.

White paper.

Our mission.

We are responding to the transformation of the grid's infrastructure & architecture, and the data opportunities it brings via our data apps.

What do you do now?

Start with your most complex problem, ask us how we can make it happen faster.