Enterprise-grade AI transcription and clinical documentation intelligence.
Enterprise-grade AI transcription and clinical documentation intelligence.
Inscripta is a high-performance AI platform specializing in automated speech recognition (ASR) and natural language processing (NLP), specifically architected for high-stakes environments like healthcare, legal, and government sectors. By 2026, Inscripta has positioned itself as a market leader in 'Contextual Transcription,' moving beyond simple text conversion to structured data extraction. The platform utilizes a proprietary transformer-based architecture that integrates deep acoustic modeling with domain-specific linguistic layers. This allows it to handle complex terminology, diverse accents, and noisy environments with lower word error rates (WER) than general-purpose models. Technically, Inscripta provides a robust REST API and WebSocket support for real-time streaming, enabling developers to build low-latency voice applications. Its 2026 roadmap emphasizes 'Clinical Intelligence,' where the AI doesn't just transcribe but automatically populates EMR/EHR fields, identifies medical billing codes (ICD-10/11), and highlights critical patient sentiment. The architecture is designed for zero-trust environments, supporting on-premise deployment and strict data residency compliance, making it the preferred choice for enterprises requiring sovereign data control.
Enterprise-grade AI transcription and clinical documentation intelligence.
Quick visual proof for Inscripta. Helps non-technical users understand the interface faster.
Inscripta is a high-performance AI platform specializing in automated speech recognition (ASR) and natural language processing (NLP), specifically architected for high-stakes environments like healthcare, legal, and government sectors.
Explore all tools that specialize in transcribe speech to text. This domain focus ensures Inscripta delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze clinical data. This domain focus ensures Inscripta delivers optimized results for this specific requirement.
Explore all tools that specialize in soap note generation. This domain focus ensures Inscripta delivers optimized results for this specific requirement.
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Separates up to 12 distinct speakers in a single audio stream using spatial audio processing and vocal fingerprinting.
Uses NER (Named Entity Recognition) to identify and redact Protected Health Information in real-time.
Sub-200ms latency for live captioning via optimized C++ core processing.
Allows users to upload audio samples to fine-tune the model against specific background noises (e.g., sirens, clinic bustle).
Deep learning model that predicts punctuation and casing based on semantic intent rather than just pauses.
Maps medical transcripts directly to ICD-10 and CPT codes using a proprietary medical ontology.
Detects and switches language models mid-sentence for bilingual speakers.
Sign up for an enterprise or developer account on the Inscripta dashboard.
Generate an API Key and Secret via the 'Integrations' tab.
Configure data residency settings (e.g., US-East, EU-Central, or On-Prem).
Select the domain-specific model (General, Clinical, Legal, or Financial).
Define 'Custom Vocabulary' lists to improve recognition of unique product names or jargon.
Set up Webhook endpoints to receive asynchronous transcription results.
Test live-stream capabilities using the WebSocket URI: wss://api.inscripta.ai/v1/stream.
Implement PII/PHI redaction filters to ensure compliance before data storage.
Configure speaker diarization parameters for multi-participant meetings.
Deploy to production and monitor usage via the real-time analytics console.
All Set
Ready to go
Verified feedback from other users.
“Users praise the clinical accuracy and the ease of API integration, though some note the Enterprise pricing is steep.”
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