Slingr, an enterprise software program developer based mostly in Florida, has launched IntelliParse, an AI agent that extracts, interprets, and delivers information from paperwork.
Whereas most instruments give attention to level options for repetitive duties, Slingr makes a speciality of designing AI brokers able to autonomously executing the tedious end-to-end workflows that sluggish enterprise down.
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“Whereas most automation options retreat from complexity, IntelliParse.ai thrives on it. We deal with the intricate downstream challenges by seamlessly mixing low-code capabilities with superior AI—delivering refined enterprise options in a fraction of the normal timeframe. — Grace Schroeder, CEO of Slingr.
Information trapped in PDFs, scanned varieties, and spreadsheets requires handbook processing, which introduces errors, raises prices, and prevents full workflow automation. IntelliParse brokers embody a ‘human within the loop’ (HITL) interface that permits customers to supervise the outcomes.
IntelliParse is the flagship of 5 Slingr brokers, every targeted on information ingestion to provide desired outcomes to deal with real-world automation challenges. IntelliParse can be taught from real-world paperwork, dynamically apply enterprise logic, and combine instantly with commonplace enterprise instruments, together with most main ERPs, CRMs, and database methods.
“Slingr’s intelliparse.ai has revolutionized our telecom order administration course of, decreasing bill processing time by 80% whereas offering end-to-end validation from preliminary quote to last billing. The system mechanically confirms when orders seem on invoices, verifies pricing accuracy, and notifies our crew with particular particulars, eliminating billing surprises and giving us full monetary visibility.” — Robert Bye, Founding father of Zenture Companions.
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Key Capabilities:
- Parses diverse, unstructured paperwork with excessive accuracy.
- Applies guidelines, validations, and pre-defined logic throughout information extraction
- Connects on to core enterprise methods
- Learns and improves from business-specific doc samples
- Eliminates handbook information dealing with bottlenecks
Why It Issues:
Firms automating advanced, variable workflows—like doc parsing—unlock significant scale and productiveness, redirecting people to higher-value work.
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