Build, Automate, and Deploy Custom AI-Driven Text Analytics Pipelines at Speed and Scale
The Advanced Toolkit for Augmented Human-Machine Collaboration in Text Analytics

Dcipher Studio is the world’s leading SaaS platform engineered for advanced users and teams who demand full control and flexibility over their text analytics and natural language workflows. Leverage the latest in AI, NLP, and distributed computing to create, iterate, and automate custom pipelines that scale with your data and ambition.
Build Anything You Imagine: Compose complex, modular pipelines for text ingestion, enrichment, clustering, modeling, visualization, reporting, and more - using a vast toolbox of proprietary, open-source, and third-party AI/ML models.
Bring Your Own Data & Models: Seamlessly ingest files of any major format – PDFs, Word, CSV, Excel, JSON via drag-and-drop or API – or connect instantly to one of the world’s largest news and social media archives. Integrate custom or external LLMs, transformers, and embedding models as needed.
Intuitive Pipeline Builder:: Drag, drop, and connect analytic operations in an interactive visual workspace, or script custom logic for the most advanced workflows.
Immediate Visual Feedback: Explore and debug with real-time visualizations of document landscapes, token networks, trend curves, and topic clusters.
Enterprise-Scale Performance: Powered by Apache Spark and a modern microservices architecture, Studio supports real-time, memory-speed processing and can scale to millions of documents - parallelized across cloud infrastructure for maximum speed and throughput.
Cloud-Native and API-First: Run workloads interactively or schedule automated jobs. Connect results directly to upstream or downstream BI, knowledge management, or reporting tools.
World-Class NLP & Deep Learning: Mix and match advanced sentiment, emotion, entity, category, stance, and subjectivity detection models. Leverage both Dcipher’s best-in-class algorithms and open-source/third-party neural models and embeddings.
Effortless Data Wrangling: Clean, merge, standardize, and fuzzy-match datasets with interactive tools and visual context filters. Work with deeply nested data structures-no prep or conversion required.

Upload your own files (PDF, Word, CSV, Excel, JSON) or import directly from public data sources, including an extensive news/social media archive.
Segment, preprocess, and score text data by relevance, date, or custom rules.

Let topics, clusters, and associations emerge bottom-up - visually map relationships, spot patterns, and iterate rapidly with immediate analytic feedback.
Interactive document landscapes, semantic networks, and dashboards for unlimited exploratory depth.

Train supervised and unsupervised text classifiers via an iterative, human-in-the-loop approach.
Detect trending topics, bursts, and narrative evolution over time. Apply predictive models to forecast future developments.

Build, customize, and schedule automated NLP pipelines for batch or streaming applications.
Package and deploy your models and workflows, or access everything through Studio’s APIs for integration with your digital ecosystem.

Rapidly adopt new models and algorithms as they emerge; combine third-party and open-source innovations with Dcipher’s continuously updated toolset.

Cloud-native deployment ensures data residency flexibility and enterprise-grade security.
Manage project roles, collaborate in real-time, and access all processing steps for full auditability and reproducibility.
Build and iterate on complex NLP experiments, deploy custom models into enterprise production.
Design end-to-end text analytics solutions for clients, automating even the most unique or advanced requirements.
Conduct scalable, multi-lingual, data-driven thematic analysis and monitor trends and emerging narratives.
Integrate state-of-the-art text analytics pipelines into applications via Dcipher’s APIs and customizable deployment options.