Smarteeva is proud to unveil an AI that works for you, automate summaries, translations, and information extraction in minutes!
Smarteeva is proud to unveil the SmarteevaAI Platform, a salesforce-integrated answer pushed by Fantastic-Tuned Massive Language Mannequin (LLMs) and Retrieval-Augmented Technology (RAG) framework. Our workflow entails pre-processing uncooked information, performing semantic evaluation, and leveraging EDA (Exploratory Information Evaluation) to detect traits and correlations utilizing superior algorithms. The SmarteevaAI platform empowers customers to decide on non-public, safe LLMs, permitting them to fine-tune fashions or construct RAG frameworks in minutes with no technical experience required. Utilizing this platform, we developed a pre-trained mannequin and built-in it into our Put up Market Platform in Salesforce, enabling the creation of AI Brokers for seamless automation.
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SmarteevaAI brokers are totally automated, decreasing criticism processing time whereas eliminating the necessity for handbook backend improvement. Designed to operate as an clever staff extension, they deal with complicated duties immediately and ship extremely correct, exact outcomes with out prolonged prompts.
We’ve listed under the person particulars of a few of our AI brokers:
1. Good Abstract: A context-aware agent acknowledges the file you’re viewing in Smarteeva and summarizes essential information inside seconds. It permits customers to generate a number of summaries concurrently from the record view, eliminating the necessity to open every file. This innovation allows criticism reviewers to investigate circumstances quicker, bettering effectivity and decreasing handbook workload.
2. Good Extraction: Reviewers waste numerous hours sorting by unstructured information from emails and complaints, manually coming into information into methods. Good Extraction adjustments this with the SmarteevaAI platform, which robotically processes textual content, extracts key particulars, and populates essential stories like complaints, regulatory filings, PSURs, and MDRs, eliminating the necessity for handbook information entry.
3. Good Gen: Receiving a kind or criticism in a unique language could make it difficult for customers to translate and enter particulars manually. Good Gen solves this by translating textual content immediately and auto-populating data with one easy immediate. Past translation, Good Gen intuitively assigns the precise information to the precise fields, reads criticism descriptions, and maps codes robotically, simplifying all the course of, all with only one command.
4. Good Composer: Regulatory kind monitoring usually calls for backend updates, usually counting on handbook developer intervention for brand new kind creation. Good Composer automates this course of by extracting information from each digital and handwritten kinds, immediately changing them into fillable digital variations in actual time. With no coding or improvement required, customers can drag and drop PDFs, screenshots, or pictures, and Good Composer processes them immediately, eliminating handbook conversion, printing, and reformatting.
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5. Related Data: Mapping comparable complaints is a time-intensive job since file values usually don’t align as a result of nature of complaints. We’ve automated this course of by figuring out recognized points, permitting customers to rapidly reference comparable complaints, and eliminating the necessity for handbook mapping. With LLM-driven semantic search, our mannequin understands context, not like conventional keyword-based searches. This strategy generates extremely correct matches, full with scores and direct hyperlinks, for quicker reference.
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