Inspiration

Every engineer remembers their first days on the job—staring at an intricate Single Line Diagram (SLD) and a towering stack of power system study reports, feeling completely out of depth. In the power systems industry, the learning curve is a vertical climb.

To bridge knowledge gaps, junior engineers must constantly interrupt senior staff, creating friction against tight project deadlines. When engineers are stuck in manual cross-referencing loops, audits become slow and vulnerable to human fatigue. In critical energy infrastructure, an overlooked compliance flag isn't just a typo—it can cause catastrophic grid failures once built.

We built GridSuite.AI as the ultimate equalizer and safety net. Our platform acts as an autonomous validation layer that provides immediate, actionable feedback to anyone regardless of their engineering background. It empowers fresh staff to learn by doing, guarantees zero-omission auditing, frees senior engineers from repetitive review cycles, and provides universal accessibility for visually impaired and veteran engineers alike.


What it does

GridSuite.AI is an automated engineering auditing platform built specifically for the power systems sector, validating uploaded assets at machine speed.

  • Two-Tier Automated Audit: Instantly compares uploaded study reports and SLDs against custom project contracts while enforcing strict IEEE/IEC global engineering standards.
  • Dynamic Referencing: Autonomously cross-references designs against verified global engineering standards when specific project scopes are omitted.
  • Zero-Omission Auditing: Evaluates every node, transformer, breaker, and protective device independently, eliminating human oversight.
  • Pinpoint Error Citation & Guided Remediation: Identifies the exact document, paragraph, and non-compliant parameter, providing actionable, step-by-step solutions.
  • Accessible Collaboration: Features an intuitive, training-free interface designed for all visual abilities, backed by a flexible, token-based shared corporate wallet.

How we built it

We engineered a robust, cloud-native SaaS architecture tailored specifically for the power systems sector:

  • The AI Brain: Integrated the Google Gen AI SDK (@google/genai v2.8.0) to communicate directly with Gemini 3.7 Flash multimodal models for visual SLD extraction and textual compliance auditing.
  • Core Backend & Data: Built with Node.js and Express.js, utilizing the Firebase Admin SDK to interact with Google Cloud Firestore for audit logs and organizational data, alongside Firebase Authentication for enterprise access security.
  • Document Processing Engines: Implemented Mammoth.js (.docx), PDF Parse, and SheetJS (.xlsx/.csv) to ingest diverse engineering files.
  • Interactive Visualization: Styled with Tailwind CSS and powered by Cytoscape.js alongside the Dagre directed graph layout engine to render interactive single-line diagrams.
  • Data Integrity Automation: Integrated an AST-based tokenizer (jsonrepair) to sanitize and structure LLM JSON outputs before rendering on the frontend grid.

Challenges we faced

  • Zero-Tolerance Accuracy: Critical electrical infrastructure demands exact compliance. We meticulously trained and prompted Gemini 3.7 Flash to deeply understand complex electrical topologies and project scopes with zero tolerance for hallucinations.
  • Universal Interface Design: Balancing dense technical telemetry with an accessible, training-free interface required multiple design iterations in Tailwind CSS and Cytoscape.js to ensure full usability for visually impaired staff and senior veteran engineers.
  • Enterprise Go-to-Market Cycles: While initial pitches to global infrastructure leaders like KBR (Abu Dhabi) and Schneider Electric (India) yielded enthusiastic validation, navigating corporate copyright formalities and enterprise IT security audits requires extended cycles that surpass hackathon timelines.

Accomplishments that we're proud of

  • Cracking Multimodal Engineering Contexts: Successfully engineered a dual-layer verification engine capable of accurately parsing complex bid documents and visual SLD graphs.
  • Democratizing Validation: Built an accessible system where non-specialists can run comprehensive power grid checks independently.
  • Major Industry Validation: Secured deep commercial interest and product validation from multinational engineering firms, proving we are solving a multi-million-dollar labor bottleneck.

What we learned

We learned that innovation is fundamentally about democratizing knowledge. By transforming 120-hour manual audits into instant checks, we realized that an AI mentor can effectively bridge the experiential gap—allowing professionals with varying expertise to understand and apply complex standards in real time.


Category Impact: Professional Services Access

GridSuite.AI directly addresses Professional Services Access: Connecting everyday people with the expert guidance they need.

Historically, validating power system designs required decades of specialized engineering experience or prohibitive third-party consulting fees. This barrier disproportionately impacts early-stage startups, boutique consultancies, and growing businesses that operate on lean budgets or lack specialized in-house manpower.

By allowing anyone to execute rigorous electrical validation regardless of their background, GridSuite.AI removes this barrier. Non-specialists, junior staff, and resource-constrained companies can instantly verify project compliance, understand the root causes of design flaws, and uphold international grid safety standards without hiring expensive consulting agencies.


What's next for GridSuite.AI

  • Near-Term: Launch AI-driven Automated Procurement Auditing to match Bills of Materials (BOMs) against validated SLDs, alongside executive compliance health dashboards.
  • Mid-Term: Expand our parsing engines to audit complex specialized studies (relay coordination, load flow, harmonics) and verify third-party vendor datasheets against international standards.
  • Long-Term: Build direct API integrations into global Enterprise Resource Planning (ERP) systems for end-to-end, predictive design compliance across multinational EPC workflows.

Built With

  • cookie-parser
  • cors
  • cytoscape.js
  • dagre
  • dompurify
  • dotenv
  • express.js
  • firebase-admin-sdk
  • firebase-authentication
  • firebase-web-sdk
  • gemini-3.7-flash
  • google-cloud-firestore
  • google-gen-ai-sdk
  • ip-api
  • javascript
  • json-repair
  • mammoth.js
  • microsoft-entra-id-msal
  • microsoft-graph-client
  • node.js
  • pdf-parse
  • razorpay
  • render
  • tailwind-css
  • web-speech-api
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