AI that doesn't cost the Earth
We believe in a world where technological advancement and environmental stewardship go hand in hand. Where AI augments human potential without depleting our planet's resources. At Symphony, we're building that future today.
AI has the potential to solve humanity's greatest challenges, but not if its computational cost destroys the very planet we're trying to save. We commit to developing AI systems that minimize energy consumption and carbon footprint without compromising on performance.
Not every query requires the largest model. We believe in matching the right model to the right task, optimizing for both performance and environmental impact. This isn't just good for the planet—it's good engineering.
You can't improve what you don't measure. We provide estimated metrics on energy usage and environmental impact, empowering users to make informed choices about their AI usage. A central goal of Symphony is to encourage AI companies to be transparent about their environmental impact; we implore them to provide their own statistics on environmental impact.
Advanced AI shouldn't be limited to those with massive computational resources. By optimizing efficiency, we make sophisticated AI capabilities accessible to a broader range of users and organizations.
The field of AI is evolving rapidly. We commit to staying at the forefront of research into more efficient models and techniques, constantly improving our environmental footprint while enhancing capabilities.
more efficient than the most common AI, on average
The rise of increasingly powerful AI models comes with a significant environmental cost. Training large language models requires vast amounts of energy, and each query processed by these models adds to their carbon footprint.
Many organizations use the most powerful models available for every task—regardless of whether that computational power is necessary. This leads to unnecessary energy consumption and environmental impact.
The environmental cost of AI is largely invisible to users, making it easy to ignore. But as AI becomes more integrated into our daily lives and business operations, addressing this hidden cost becomes increasingly urgent.
"The most environmentally friendly computation is the one you don't do."
Symphony takes a fundamentally different approach to AI deployment:
We analyze each query to determine the optimal model for the specific task. A simple request doesn't need the full computational power of the most powerful model when a smaller, more efficient model can provide an equally satisfactory response.
Beyond model selection, we optimize parameters like temperature, sampling methods, and repetition controls to deliver accurate, relevant responses while reducing computational waste.
We give users control over their environmental impact by providing optimization modes that prioritize different factors: environmental efficiency, performance, or affordability. We also provide clear metrics on energy usage and carbon footprint.
Our system learns from usage patterns and feedback, constantly improving its optimization algorithms to deliver better results with lower environmental impact.
We're building Symphony for organizations and individuals who believe that technological advancement and environmental responsibility can—and must—coexist.
Whether you're a business looking to reduce your AI carbon footprint, a developer building AI-powered applications, or an individual who wants to use AI responsibly, Symphony provides a way to harness the power of AI without unnecessary environmental cost.
This is just the beginning. As AI continues to evolve and become more integrated into our lives, the importance of sustainable AI practices will only grow. Join us in building a future where AI helps solve our most pressing challenges without creating new ones.
Symphony is currently in invite-only beta. Sign up to join the waitlist or contact us for enterprise partnerships.
Join the waitlist