AI Investment Allocation
Hold every AI investment to the same financial terms.
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Compare vendors, models, agents and sites by expected and realised value.
Scale when value repeats. Change when another choice wins. Stop when the economics fail.
See one decision →Read every provider on one record.
Vendors, models, agents and internal teams are read on the same admissible episodes and the same value formula.
Seal the expected value before the move.
Each investment has its expected value sealed before it acts, then compared with what it realised.
Keep the record when the model changes.
Switch models or vendors and the evidence stays yours, so the next comparison starts where the last one ended.
How it works
From governed evidence to settled value.
Finance agrees the value formula: observed value, attributable effect and counterfactual value, kept apart.
See what deserves more capital, and what should change or stop.
Kalyr classifies each decision family: human-led, AI-assisted, automation candidate or blocked.
Automation waits until value repeats on admitted episodes. Your team governs the class.
Kalyr reads each decision a provider touched: what was known, permitted and chosen.
Your platforms stay in command. The record stays enterprise-owned.
Industries
Built for your industry.
Consumer Goods and Food→
Compare planning agents across sites on one value formula.
Semiconductors and Advanced Manufacturing→
Judge yield models by the value they settle.
Biopharma and Pharmaceutical Operations→
Hold each quality AI tool to the same batch outcomes.
Energy, Chemicals and Mining→
Fund the maintenance models whose value repeats.
Aerospace and Critical Infrastructure→
Compare inspection models on the same parts and outcomes.
Data Centres and Compute→
Weigh operations agents by realised uptime and energy value.
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Compound your intelligence.
If it repeats and moves value, we want to see it.
