Northwire Canada EditionThursday, October 15, 2026
Northwire
⌕
GOLD 4107.90 −1.7% SILVER 55.88 −6.1% COPPER 6.62 −1.6% OIL 95.09 +1.0% PALLADIUM 1096.50 −2.7% CIA 2.64 −0.4% BTO 7.09 −4.3% MCI 0.155 +0.0% CAN 0.065 +0.0% BLDS 0.335 +8.1% SAO 0.050 +0.0% SF 0.315 +0.0% BEA 0.055 −15.4% BMM 3.90 +11.1% AUGC 0.295 −13.2% MFG 3.34 −3.8% CDE 21.33 −7.7% CYG 0.160 −5.9% RSMX 0.100 −4.8% TUF 0.830 −5.7% GPG 0.285 −3.4% GOLD 4107.90 −1.7% SILVER 55.88 −6.1% COPPER 6.62 −1.6% OIL 95.09 +1.0% PALLADIUM 1096.50 −2.7% CIA 2.64 −0.4% BTO 7.09 −4.3% MCI 0.155 +0.0% CAN 0.065 +0.0% BLDS 0.335 +8.1% SAO 0.050 +0.0% SF 0.315 +0.0% BEA 0.055 −15.4% BMM 3.90 +11.1% AUGC 0.295 −13.2% MFG 3.34 −3.8% CDE 21.33 −7.7% CYG 0.160 −5.9% RSMX 0.100 −4.8% TUF 0.830 −5.7% GPG 0.285 −3.4%
Production / Operations

Gogo AI portfolio co. Algo8 releases AI support system

GOGO · Price

Executive Summary

  • Gogo AI Network’s portfolio company, Algo8 Industrial AI, has successfully deployed its AI-based decision support system, PlantBrain, for a major publicly listed Indian steel and infrastructure group.
  • The deployment targets complex, energy-intensive steelmaking facilities, aiming to optimize power utilization, reduce costs, and improve operational efficiency through machine learning models.
  • Early optimization trials demonstrated significant tangible benefits, including average export power savings of 4.39 MW and a productivity improvement of approximately 10.3 labor hours per day.

Key Details

  • Customer Profile: A major publicly listed Indian steel and infrastructure group (name withheld for confidentiality).
  • Facility Scope: The customer operates complex steelmaking facilities including electric arc furnaces (EAFs), ladle refining furnaces (LRFs), auxiliary steelmaking units, and a dedicated captive power plant.
  • Solution Deployed: Algo8’s PlantBrain platform, which uses machine-learning models to analyze real-time power consumption and generate actionable recommendations.
  • Operational Metrics & Results:
    • Power Savings: Optimization trials indicated average export power savings of approximately 4.39 megawatts (MW).
    • Efficiency: Improved export efficiency and a significant reduction in infirm/unscheduled power, with no adverse impact on production throughput.
    • Labor Productivity: Digitalized operational logbooks improved workforce productivity by approximately 10.3 labor hours per day (equating to more than 3,700 hours annually).
  • Technical Capabilities:
    • Power Schedule Mode: Automates forward-looking power distribution plans to improve coordination across production, load distribution, and power management teams.
    • Furnace Strategy: Recommends start/stop strategies for refining furnaces.
    • Generation Optimization: Predicts optimal ramp-up and ramp-down levels for captive power generation.
    • Import Limits: Improves utilization of import limits and reduces unnecessary power wastage.
  • Strategic Context: The deployment underscores Gogo AI Network’s investment thesis focused on scalable, revenue-generating AI companies capable of delivering measurable efficiency gains in large-scale manufacturing environments.

Notable Quotes

  • "This deployment reflects the growing adoption of industrial AI solutions across large-scale manufacturing environments... Algo8's ability to deliver measurable efficiency gains for major industrial enterprises underscores the strength of its technology platform and reinforces our investment thesis focused on scalable, revenue-generating AI companies." — Brandon Kou, President, Gogo AI Network
  • "This implementation highlights the role AI can play in optimizing complex energy systems. We are excited to support our customer in advancing intelligent and sustainable industrial operations." — Nandan Mishra, CEO and Co-founder, Algo8
Read the original news release →

More from Gogo AI Network Inc