Short answer
AskTuring is a retrieval-augmented AI platform that enables advanced document intelligence. It grounds every response in your verified documents by default, supports complex cross-document reasoning, and allows controlled augmentation with external knowledge or web data. Your data remains private, isolated, and is never retained or used to train AI models.
Full explanation:
AskTuring is built for teams that work with large, high-stakes document collections and need answers that are accurate, explainable, and traceable back to source material. It uses retrieval-augmented generation (RAG) to ensure outputs are anchored in your documents rather than in generic model memory.
With AskTuring, you can:
Retrieve precise answers from large document sets -
Instantly locate relevant clauses, rules, timelines, or requirements across thousands of documents using semantic search rather than keyword matching.
Perform cross-document analysis -
Compare language, obligations, or requirements across multiple documents to surface inconsistencies, conflicts, gaps, or changes over time.
Generate grounded summaries and explanations -
Convert dense or technical material into clear summaries while maintaining a direct link to the underlying source text used to generate each answer.
Trace every answer to its source -
Every response includes links to the exact document, page, and snippet used, supporting auditability, validation, and internal review.
Work across diverse document types -
Analyze PDFs, Word documents, spreadsheets, presentations, images, and text files within a single unified Project.
Create new artifacts from verified content -
Draft policies, procedures, job aids, training manuals, and reports using only approved Project documents as the factual foundation.
Leverage multiple AI models strategically -
Choose between different large language models and switch models mid-conversation to optimize for reasoning depth, summarization quality, or explanation style.
Augment retrieval with controlled external context -
When needed, explicitly add External Knowledge or Web Search to supplement Project data with general background or current public information. This augmentation is intentional, transparent, and non-default.
Maintain analytical context across sessions -
AskTuring preserves conversational context to support multi-step research, iterative analysis, and complex investigative workflows.
AskTuring is designed for scenarios where accuracy, traceability, data security and control matter. It prioritizes grounded answers over speculation and gives users fine-grained control over how and when external knowledge is introduced.
Examples
A legal team uses AskTuring to review and compare several contracts, identifying key differences in clauses, dates, and obligations.
A financial analyst switches between two LLMs during a single conversation, one optimized for summarization and another for data reasoning, to produce a precise, well-rounded report.
An HR department uses AskTuring to draft new policies and employee training manuals, drawing from existing HR guidelines and regulatory documents within the organization’s Projects.
A marketing team uses AskTuring to search across creative briefs, then shares the conversation as a PDF and posts highlights on LinkedIn for discussion.
A healthcare administrator uses AskTuring to summarize recent policy updates and verify the latest government guidelines by including external web references.