Slingr, an enterprise software program developer based mostly in Florida, has launched IntelliParse, an AI agent that extracts, interprets, and delivers knowledge from paperwork.
Whereas most instruments concentrate on 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.
Knowledge trapped in PDFs, scanned varieties, and spreadsheets requires guide processing, which introduces errors, raises prices, and prevents full workflow automation. IntelliParse brokers embody a ‘human within the loop’ (HITL) interface that enables customers to supervise the outcomes.
IntelliParse is the flagship of 5 Slingr brokers, every centered on knowledge ingestion to provide desired outcomes to deal with real-world automation challenges. IntelliParse can study from real-world paperwork, dynamically apply enterprise logic, and combine instantly with commonplace enterprise instruments, together with most main ERPs, CRMs, and database techniques.
“Slingr’s intelliparse.ai has revolutionized our telecom order administration course of, lowering bill processing time by 80% whereas offering end-to-end validation from preliminary quote to remaining billing. The system mechanically confirms when orders seem on invoices, verifies pricing accuracy, and notifies our group 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 assorted, unstructured paperwork with excessive accuracy.
- Applies guidelines, validations, and pre-defined logic throughout knowledge extraction
- Connects on to core enterprise techniques
- Learns and improves from business-specific doc samples
- Eliminates guide knowledge dealing with bottlenecks
Why It Issues:
Corporations automating advanced, variable workflows—like doc parsing—unlock significant scale and productiveness, redirecting people to higher-value work.
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