JetBrains vs SAS

Desktop app for macOS, Windows and Linux that analyses local CSV and Excel business exports in plain language and produces reports in which every figure can be traced to its source rows, filters and calculation, using a hosted model provider the user brings or a local model.

AI assistant inside Datalore notebooks that turns a request into Python, SQL or R code or Markdown text using the notebook's earlier analysis as context, proposes fixes for failing cells as a reviewable diff, and suggests next analysis steps toward a stated research goal.

AI writing companion for people in tech, delivered as a browser extension and a JetBrains IDE plugin, that proofreads grammar, spelling and style and offers inline completion, rephrasing and tone changes, summaries, translation and an AI chat in commit messages, docs, Jira, Slack and Gmail.

Organisation layer for AI coding tools, formerly JetBrains Central: grants access to models and agents per team or person, sets AI spending limits, manages company-wide provider keys and MCP servers, and reports which tools are used where.

Cloud semantic index of a codebase that coding agents query instead of searching file by file: it keeps repositories indexed incrementally, answers code questions across several organisation repos, and plugs into Claude Code, Codex CLI and Junie CLI.

Command-line launcher, formerly JetBrains Central CLI, that runs terminal coding agents such as Claude Code, Codex and Junie CLI under one JetBrains account, paying for them with JetBrains AI credits while access, agents and models are governed centrally.

Free IDE plugin that runs several coding agents (Junie, Claude Agent, Codex, Copilot or any ACP agent) side by side across projects, tracks their sessions and changed files, and lets the developer review each diff with the IDE's own code intelligence.

In-IDE AI assistance across JetBrains' IDEs — chat, code completion and agent-driven workflows — plus governance controls for teams, sold as a subscription shared with Junie.

SAS Asset Performance Analytics predicts asset problems and identifies their root causes using analytics and data mining.

SAS Energy Forecasting Cloud generates electric-load and renewable-generation forecasts using statistical and AI models.

SAS Field Quality Analytics identifies emerging product quality issues using predictive analytics and anomaly detection.

SAS Financial Crimes Analytics uses AI and machine learning to detect and investigate financial-crime risks.

Real-time fraud detection and decisioning for financial institutions on SAS Viya: profiles customer behaviour and scores every transaction with machine-learning models, rules and anomaly detection against payment, account-takeover, application, synthetic-identity, check and digital fraud, with alert triage and investigation.

SAS Fraud Decisioning for Claims uses analytical and AI techniques to score insurance claims for fraud.

SAS Grid Guardian AI applies predictive analytics and machine learning to anticipate utility-equipment failures.

SAS Intelligent Planning uses analytics and AI to support demand forecasting, inventory optimization and planning scenarios.

SAS Intelligent Planning Cloud creates demand plans using models that self-tune with machine learning.

SAS Production Quality Analytics uses machine learning to analyze manufacturing processes and predict quality problems.

SAS Text Miner extracts information from text documents and supports text parsing and exploration.

SAS Visual Analytics supports data exploration, analytics and reporting using machine learning and natural language explanations.

SAS Visual Investigator provides investigation management and intelligence analysis using AI-assisted analytics and entity resolution.

SAS Visual Statistics supports exploring data and building predictive models using machine learning.

Natural language processing workspace in SAS Viya that finds topics, extracts key terms and entities, scores sentiment and builds categories across large text collections by combining linguistic rules with machine and deep learning, and curates text to ground LLMs.

Generative AI assistant inside SAS Viya that writes, explains and comments SAS and Python code, suggests model-pipeline nodes in Model Studio, runs Model Manager tasks by conversation, and drafts reports and explanations of results in plain language.

No-code retrieval-augmented generation and agent builder: ingests unstructured enterprise documents with multilingual OCR, answers questions with citations through a choice of third-party LLMs and vector databases, evaluates the answers, and runs goal-driven agents, on premises or in the cloud.

Self-provisioned cloud coding environment for building analytic, machine-learning and AI models in SAS, Python or R from Jupyter, VS Code or SAS Enterprise Guide, with chosen CPU, memory and GPU sizes and sessions that shut themselves down.