Natural-language questions
Ask the way you speak; DataZen interprets intent and writes the SQL for you.
DataZen, DocuZen, and QAZen are CognitivZen’s proprietary AI accelerators — purpose-built products engineered to solve problems we kept meeting in client work, and now bring into engagements to get you to value faster.
DataZen turns plain-language questions into governed SQL and ready-made visuals, so business users get answers without waiting on a report queue.
Ask the way you speak; DataZen interprets intent and writes the SQL for you.
Business terms, lineage, and usage metadata give the model the context it needs to answer correctly.
Charts, tables, and KPIs render automatically from the model’s structured output.
LLM agents with MCP tool access plan multi-step analysis, not just single queries.
Query across sources through Trino without moving data into yet another store.
Single sign-on with Microsoft Entra ID (Azure AD) and embedding into the BI tools you already run.
Data from your sources is unified into a semantic layer.
Metadata — business terms, lineage, usage — is generated and embedded.
LLM reasoning interprets intent and generates SQL.
The front end renders the right chart, table, or KPI automatically.
DocuZen lets people ask questions of your proprietary documents in plain language and get context-aware answers with citations back to the source.
Customer records are retained for seven years after contract end, then securely deleted 1. Records under legal hold are excluded until the hold is released 2.
PDFs, Word, Excel, and images — with layout analysis and OCR so tables and scans are understood too.
Keyword and vector search combined, then re-ranked for the most relevant passages.
Every answer points back to the exact document and section it came from.
Ask, refine, and drill in — responses stream back as they are generated.
New or updated documents are processed automatically the moment they land.
Runs in your environment so proprietary documents never leave your control.
An upload to S3, SharePoint, or Google Cloud Storage triggers an event.
Workers partition the layout, extract content with OCR, chunk, and tag metadata.
Chunks, metadata, and vector embeddings load into the vector database.
A user’s question retrieves the most relevant context through the proxy service.
The LLM generates a cited, context-aware response, streamed back to the user.
QAZen takes a requirement all the way to a release decision in one governed pipeline — AI does the analysis, test design, data, scripting, and reporting, while three human review gates keep people in control at every hand-off.
Inputs are normalized, ambiguities flagged, and each requirement tagged to the right test layer before anything is designed.
Test cases generated with boundary-value analysis and equivalence partitioning for coverage that is systematic, not guessed.
Realistic test data generated and masked, so runs never depend on exposing sensitive production records.
Approved cases become executable Playwright UI and API test scripts, kept in one reviewed library.
Scripts are scanned for security and boundary issues before a single test executes.
H1 requirement sign-off, H2 test case and data review, and H3 script and security review — any rejection stops the run.
Test runs are orchestrated with Pytest across your environments and tracked from one dashboard.
Failures are classified automatically and flaky tests are identified, so real defects stand out from noise.
Results aggregate into Allure reports and a release readiness summary, then feed your pipeline through the CI/CD gate adapter.
Every accelerator is delivered by the same engineering teams behind our client work, with ISO 27001-certified practices.
Deployed into your AWS, Azure, or Google Cloud account, next to your data and inside your security boundary.
Connectors, semantic models, prompts, and workflows configured for your systems — not a generic demo.
Our teams can operate, monitor, and improve the accelerator for you as a managed service.
Tell us your use case and we’ll set up a working demo of DataZen, DocuZen, or QAZen for your team.