How does Vee minimize its environmental footprint, and are there any green initiatives on roadmap that relate to this"

Today, we reduce our impact by: Cloud efficiency: We run exclusively on hyperscale cloud providers (Azure, AWS, GCP) that are leaders in renewable energy procurement and data-center efficiency. All three providers have published commitments to 100% renewable energy in this decade (Google by 2030, Microsoft by 2025, AWS by 2030), and we benefit directly from those initiatives. Right-sizing compute: Our engineering teams optimize workloads so we only run the compute we actually need, and we continuously monitor and scale resources dynamically to avoid waste. Shared infrastructure: By using cloud instead of on-premise hardware, we reduce the need for dedicated physical infrastructure that would otherwise add to our carbon footprint. Looking forward, our roadmap includes: Green model optimization: Continuing to invest in model distillation, fine-tuning, and caching techniques to reduce the number of high-intensity calls to large models without sacrificing accuracy. Carbon transparency: Evaluating carbon-tracking tools (offered by our cloud partners and third-party solutions) so we can measure the footprint of our workloads and make greener decisions. Vendor alignment: Prioritizing providers and regions where renewable energy coverage is strongest, so the power behind our AI runs on the cleanest possible sources. Offsets & partnerships: Exploring partnerships with nonprofits focused on reforestation and climate action—aligning our own mission (“AI for Good”) with broader environmental good.