Monitaur builds the governance record around machine learning systems: what a model is, who approved it, how it has behaved and what evidence exists that controls were applied. Its own framing, going beyond good intentions, is a fair description of the gap it targets.
Governance failures are rarely failures of intent. An organisation intends to test for bias and monitor drift, and then cannot demonstrate afterwards that it did, which is exactly the position a regulator or a claimant will put it in.
It sells into regulated enterprises and the pricing page returns a 404. It is only relevant where models carry real regulatory exposure, and the software records adherence to policies the organisation still has to define for itself.
