April 20, 2026AgentsToolInfrastructure

Claro fights AI hallucination with explicit confidence scores

Claro launched on Product Hunt today, an enrichment platform built around 14 task-specific agents that run inside a spreadsheet. Data enrichment, PDF extraction, URL scraping, classification, deduplication. The thing that makes this worth covering is how aggressively they refuse to be a chat wrapper.

Every result comes back with a confidence score. Co-founder Tameesh Biswas is explicit: this is not a vibes check. The score weights source reliability at 40%, cross-source consistency at 30%, model certainty at 20%, retrieval quality at 10%. Every cell has a citation, multi-model consensus runs on high-stakes enrichments, AI-as-judge filters before results reach you.

The target is enterprise data infrastructure where one bad row destroys a deal. Marketplaces, distributors, multi-supplier catalogs. The kind of place where a CSV gets handed to a sales team and a single hallucinated CEO name burns a quarter. Claro pitch is that confidence scoring is the only reason your CFO will ever let an LLM touch the master data.

The broader take here is that the second wave of agent products is about trust plumbing, not raw capability. Every agent ships now. The interesting differentiator is whether the output is auditable. Claro is leaning into that hard, and the explicit weighting of the confidence formula is exactly the kind of operator-friendly transparency that procurement teams will actually buy.

Link getclaro.ai
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