Gilles Raymond is a serial entrepreneur, his previous company was acquired by Cheetah Mobile for $60M+. He’s also the founder and president of The Signal Networks Foundation, leading international investigations with top-tier media outlets and champions the protection of whistleblowers across the globe.
When he’s not working on the future of tech, Gilles can be found mastering his moves as a 2nd Dan black belt in jujitsu, kitesurfing on Kanaha, or seeking for new perspective by feet from the icy terrains of the North Pole to the vast expanse of the Sahara Desert.
Enterprise AI costs are climbing fast. Token compression and intelligent routing aren't a threat to frontier labs—they're the distribution layer that expands the market. Build the efficiency layer now, before the subsidies end.
AI costs are rising. The root cause isn't economic—it's operational. Cost observability, meaning real, request-level, attributable cost tracking, is the missing layer. And without it, every other optimization strategy is flying blind.
AI inference is getting cheaper. Fast. Yet enterprise AI budgets are climbing even faster. Gartner pegs enterprise generative AI spending at $37 billion in 2025, up from $11.5 billion in 2024, a 3.2× year-over-year jump. Meanwhile, token prices keep falling by 90%.
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