Why Blocr exists.
Blocr comes from years inside the comp tech world — implementing Xactly, Tagetik, and Jedox across the enterprise.
Same scene every time: customers spend six-figure implementation fees to get a system that, two years later, no one trusts. The auditor asks “how did this number get calculated” and the answer is a screenshot of a config screen. The CFO asks “what changed last quarter” and the answer is a consultant’s memory.
The pattern was always the same: a proprietary calculation language no one outside the vendor understood, black-box state, opaque history, and an “AI feature” bolted on at the end that couldn’t actually read the underlying logic — because no language model had ever been trained on it.
Blocr is the opposite shape. The customer owns the underlying logic, not the vendor. Every commission is traceable to the calculation that produced it. AI agents that read the real logic, not a marketing paraphrase. And every closed period ships with a signed audit bundle — reproducible byte-for-byte, years later, from the bundle alone.
The thesis: incumbents are AI-hostile by construction. Blocr is AI-native by construction. As model capability grows, the gap widens.