Intelligence product for quantitative research

Parallax Lab

Turn research projects into strategic answers through any LLM chat provider, with a governed analytical layer that understands questionnaires, runs tables, investigates differences, and preserves methodological rigor.

Email jair@hsr.com.vc Bring a study, a questionnaire, or an existing tabulation workflow.
21 toolsfrom project discovery to statistical analysis
MCPresearch available through chat without rebuilding operations
Aggregatesanswers and tables without respondent-level rows
XLSXexports ready to circulate with the team
Commercial value

From raw study data to an answer the business can use.

Parallax Lab shortens the path between question, tabulation, interpretation, and decision. It lets a team converse with quantitative studies without giving up control, traceability, or statistical discipline.

Faster analysis

Find questions, summarize questionnaires, run cuts, and export tables without manually chasing every code.

Deeper reading

Move beyond surface summaries and investigate segments, attributes, differences, and perceptual maps.

Stronger control

Missing values, weighting, banners, filters, and metadata patches remain explicit and traceable.

Strategic output

The chat receives structured results and helps convert evidence into answers for product, marketing, and market intelligence.

For marketing analysts

Ask the way you think. Analyze with method.

An analyst can request readings in natural language while Parallax Lab performs research-specific operations: discovering tables, crossing banners, finding questions, and returning aggregate results.

"Which questionnaire blocks measure product perception?"
"Where are the strongest differences by segment?"
"Run the satisfaction table against the main banner and explain what matters."
"Export the priority results to XLSX."
Method and research

An analytical layer for real quantitative research work.

The product is designed for details that often live across files, scripts, and tacit knowledge.

Tabulation and banners

Runs tables against existing or custom banners, with filters and XLSX export for sharing results outside the chat.

Search and description

Finds questions by free text, then describes wording, options, variable links, and aggregate statistics based on question type.

Significance and maps

Scans tables for statistical association, prioritizes findings with Cramer's V, and returns coordinates for correspondence analysis.

Methodological governance

Controls missing values, weighting, fieldwork period, and reversible metadata patches without modifying base artifacts.

Conversation example

The chat asks. The analytical lab answers with structure.

The examples below simulate how a chat interface can combine a tool call, an aggregate result, and strategic interpretation.

Prompt:
"Scan the study against the main banner and show where I should investigate first."

Tool call:
scan_significance(project, banner, top=10)

Return:
- attributes with strongest association
- p-value and Cramer's V
- notes about small bases or skipped crosses

Strategic reading

The focus moves from "which tables do we have?" to "which differences deserve analysis time?". That helps prioritize presentations, decision meetings, and next cuts without losing statistical discipline.

Technical

MCP infrastructure with a clear boundary between chat, data, and proprietary logic.

Parallax Lab runs as a tool server: the interface converses, the server executes, and the answer returns as tables, summaries, exports, or diagnostics.

Use modes

  • Remote HTTP service with authentication.
  • Local stdio mode for on-demand use.
  • Local or cloud object storage depending on environment.

Data policy

  • Responses return aggregates, not raw microdata.
  • Respondent verbatims are blocked by default.
  • Metadata can be analyzed with size and non-transcription guardrails.

Tool surface

  • 21 documented MCP tools.
  • Tabulation on the server without exposing internal logic.
  • Guided errors when project, table, or banner names do not exist.
Start with a real study

Bring Parallax Lab into your next quantitative project.

Send a study, a tabulation workflow, or an analytical pain point. The right conversation often starts with a question that takes too long to answer today.

Reach out