Skip to main content
TE

Tyba Energy

Tyba Energy provides an end-to-end platform for energy storage asset owners and operators to maximize project profitability. The platform utilizes AI-powered price forecasts and automated bidding strategies to optimize dispatch across day-ahead and real-time energy markets. This results in significant revenue uplift compared to manual trading by balancing energy arbitrage with ancillary services.

Oakland, United StatesFounded 2020141K+ followers
Updated 20 months ago

Funding

$2.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

WV
Funding rounds are not available yet.

Founders

Product

Problem

Developing and operating standalone or hybrid energy storage projects requires accurate forecasting and optimization to maximize returns. Existing methods often lack transparency in financial modeling and struggle to adapt to real-time market volatility, hindering effective bidding strategies and proactive state of charge management.

Solution

Tyba provides an AI-powered simulation and operating platform designed to optimize the performance of standalone and hybrid energy storage projects. The platform offers transparent financial modeling, enabling developers and operators to understand future project returns and develop effective bidding strategies. By leveraging AI for continuous re-forecasting and proactive state of charge management, Tyba allows users to optimize assets in real-time and maximize the lifetime value of energy storage investments. The integrated approach spans the entire project lifecycle, from initial design to live asset operation and future expansions, ensuring returns meet or exceed expectations.

Target Audience

Tyba's primary customers are renewable energy developers, investors, and independent power producers (IPPs) involved in standalone and hybrid energy storage projects.

Features

  • AI-driven day-ahead and real-time price forecasts that leverage historical data, asset constraints, and exogenous factors.
  • Transparent modeling of financial and physical outcomes for informed decision-making.
  • Proactive state of charge management that accounts for asset constraints and market rules.
  • Real-time optimization that adjusts bidding strategies based on price signals and asset activity.
  • Customizable dispatch logic and summary outputs for understanding plant performance under varied circumstances.
  • Ability to run shadow bids to test different approaches and refine bidding strategies.
  • Integrated platform for simulating project returns, preparing for operations, and operating live assets.
This profile is AI-generated and may contain inaccuracies.