Southbridge says ontologies must be just in time

Hrishi Olickel told AI Engineer that Ohio donor cases show why ontologies must be built just in time, with Jeff cutting a $10,000 job to $795.

Hrishi Olickel presenting just-in-time ontologies at AI Engineer
AI Engineer

Hrishi Olickel, founder of Southbridge AI, used an AI Engineer talk to argue enterprises should build ontologies at decision time, not before.

Southbridge says ontologies must be just in time - AI Engineer
Southbridge says ontologies must be just in time, AI Engineer

He said his universal schema bet at Southbridge's founding two years ago collapsed after confronting four schemas that only align at decision time.

Jeff landed Tuesday, the team tested three architectures on 200 families, then labeled all 203,317 Ohio donor cases in 10 days.

The statewide run cost $795 on an $800 budget, $128 for first answers and $545 for checks, far below the earlier $10,000 estimate.

Priors remain the biggest error class, Olickel said, noting 15,658 in-kind gifts mislabeled over a hyphen and 99.4% dates emptied by a fifth format.

Stripped minus signs turned $784,000 in net loans into $5.3 million in debt, yet Jeff and Luna matched on 194 of 200 families with zero joint errors.

Olickel called hill climbers Pareto servers for cost, speed and accuracy but said Hank Weave and a failure surface must come first, echoing Collibra on runtime ontology context, without saying who defines that surface when humans leave.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.