Products/AI Infrastructure Tools/Claro - Research Agents

Claro - Research Agents

Claro runs the AI agents that operate on your data

AI Infrastructure ToolsMulti-model consensus - parallel extraction across multiple models accepting only agreed outputsLLM-as-judge filtering - quality gate catches nonsensical outputsSource ranking - authoritative sources prioritized above random contentConfidence scores at row, column, and entity levelsFull citations with exact passages, URLs, or document sectionsBM25 + AI hybrid matching for entity resolution with human approval loops for borderline casesFind your perfect list - describe prospects, get enriched datasetBuild a location list - draw map area, generate POIs with attributesCapture tables from PDFs - extract tables from reportsTurn documents into structured data - extract fields across hundreds of docsScrape data from URLs - turn links into structured rowsAnalyse CSV - validate and enrich spreadsheetsMerge & Map - deduplicate and reconcile records across files

Our Take

Claro is going after the boring-but-crucial problem no one else wants to touch: AI outputs that look perfect but are impossible to verify. They're running 14 task-specific agents inside a native table that actually return confidence scores, full citations, and ranked sources per cell — so when their enrichment or PDF extraction works, you can trace it back to the exact passage or document section. The multi-model consensus and LLM-as-judge filtering are doing the real work here, catching hallucinations before they hit your spreadsheet. Targeting marketplaces and distributors who need verified supplier catalogs is actually smart — these are the exact people whose businesses collapse if their data turns out to be wrong, and most AI tools just hand you a pretty answer and bounce.

AI execution layer that runs 14 task-specific agents inside a native table for data enrichment, PDF extraction, URL scraping, classification, location lists, and deduplication. Every cell returns with confidence scores, citations, and ranked sources.

Problem It Solves
Loss of trust in AI outputs - getting beautiful-looking answers with no way to verify correctness. Handles messy supplier feeds, spreadsheets, and documents to create trusted catalog entities with stable IDs that stay validated over time.
Target Customer
Marketplaces, distributors, multi-supplier catalog operators, and businesses needing validated product and supplier data
Use Cases
Supplier data validation and enrichment, PDF report data extraction, Web scraping for structured data, Business prospect research, Location/POI data generation, Catalog reconciliation
Free Tier
200 free credits on signup, no card required
Differentiator
Validation-first infrastructure, not a chat wrapper. Built with multi-model consensus, source ranking, confidence scores, and full citations - every answer is validated before hitting your table.
Why Now
Growing need for trusted AI outputs in data workflows as LLMs become more prevalent but lack verifiable accuracy
Traction
User Count: 117 followers · Notable Metrics: Day Rank #17, 98 points, 17 upvotes

Key Facts

Category
AI Infrastructure Tools
Discovered via
product-hunt

The people behind Claro - Research Agents

M

Matteo Fava

profile
T

Tameesh Biswas

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