Rev
Rev is an Investigative Intelligence Platform that helps legal and investigative teams find, analyze, cite, and organize critical evidence faster. The platform supports evidence analysis across recordings, depositions, police reports, body cam footage, medical records, Word documents, PDFs, TXT files, audio, and video. Rev provides AI and human transcription, with AI transcription for early review and human transcription for higher-accuracy legal use cases. Users can ask questions across evidence files, surface contradictions, reconstruct timelines, create memos, draft case summaries, and keep every answer cited to the source record. The platform also supports transcript editing, timestamped clipping, secure sharing, mobile dictation, and document export to PDF or Word. Built for lawyers, law enforcement, court reporters, and investigative teams, Rev helps users turn evidence files into searchable, citable, and defensible case records.
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E-COMB
EDI Compatible Medical Billing (E-COMB) is a web based solution for generating medical claims complying with the HIPAA transaction and code set standards, regulated by the US Government following the recommendations of American National Standards Institute (ANSI). The application is designed to generate, submit and reconcile the claims to the insurance carriers, guarantors and/or patients. This is one of the most important tools for doctors in realizing their revenue by reducing the turnaround time in the claims reimbursement. All the information related to environment of the Doctor’s Office/Hospital is grouped together as Master Data. This information is frequently used for claims processing and is less likely to change quite often. Master Data contains details of the Procedures, Diagnoses, Doctors, Payers, and Billing Providers etc. This data is created as part of the initial set up and can be updated easily at any time.
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Speech2Structure
When treating a patient, doctors spend on average two-thirds of their time documenting the treatment and far less time on examinations or patient interviews. To allow doctors to spend more time with their patients, Averbis is working on Speech2Structure – a software solution where the documentation is recorded live by voice and structured on-the-fly. Speech2Structure can correctly recognize and resolve many linguistic variations such as negations, suspected diagnoses, diagnoses that have taken place, etc. when recognizing diagnoses. Pathological laboratory values or microbiology results are also converted into corresponding diagnoses. The recorded medications can also provide clues to diagnoses.
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Billient AI
Billient is an AI-powered medical coding platform built for unmatched coding speed, accuracy, compliance, and revenue cycle performance. Designed as an AI medical coder that never misses, never slows, and never breaks, Billient helps healthcare organizations move from clinical documentation to validated coding recommendations with fewer bottlenecks, cleaner claims, faster reimbursement, and improved cash flow. It reads medical notes directly from EHR systems through compliant HL7/FHIR integration, CCDA parsing, automation workflows, or file uploads, then runs each encounter through a context-aware AI engine that detects diagnoses, procedures, documentation context, and medical decision-making complexity. Billient automatically recommends ICD-10, CPT, HCC, DRG, modifiers, and related codes, with confidence scoring and validation to prioritize high-risk encounters for manual review.
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