Training Journey: From Small Experiments to Cogni
At Titans Lab, we develop advanced synthetic intelligence engines optimized for local and global applications. Over the past few months, we have scaled our compute from small experiments to larger clusters for bigger SI engines. This ongoing investment allows us to push the boundaries of engine performance, reliability, and autonomy while still thinking like a startup. The underlying training spend in South African Rand (R) is already very high, even at these scales.
The visual below shows approximate compute usage bands for Titans Lab core systems and Cogni engines, from small runs through to larger clusters, with very high rand costs behind the scenes.
Scale: Bars are drawn on an approximate 0–64+ compute range.
Titans Lab bands: From focused small-scale experiments through to large-scale synthetic intelligence stacks used in production research.
Cogni band: Represents large-scale assistant engines and long-running fine-tuning cycles for Cogni deployments, typically running for several weeks on startup-scale clusters.
Cape Town, South Africa
Reg. No 2025/312191/07