For research buyers & marketing leaders
Piaza turns any study, from any vendor, into a self-serve interactive file. Stakeholders get answers in hours, not weeks; run their own cuts and banners without a change order; and every number is evidence-based and auditable, not a black-box LLM guess. All for a fraction of what agency rework costs.
Where the money leaks
The study is the expensive part. The static deck at the end is where most of that value quietly disappears.
Fieldwork ends, then weeks of formatting and deck-building. By the time findings land, the decision has already been made without them.
Every new banner, segment, or cut goes back to the agency as a change order: a fresh invoice and days of waiting, on data you already paid to collect.
The insight you paid a fortune for ends up as a slide a handful of people open once, then forget in a shared drive.
The business case
Piaza doesn't replace your research spend. It makes the money you already commit go further, faster, and reach more of the org.
From data to a stakeholder-ready file in hours, not the days or weeks of deck production. Insight arrives while the decision is still live.
Stakeholders run their own cuts, segments, and banners inside the file, with no change order and no waiting on the agency to rebuild a chart.
Piaza is a small percent of the study, and eliminates the agency change-order fees you'd otherwise pay for every new banner or cut.
Unlike a black-box LLM answer, every number shows its working and round-trips to source. Trust you can defend to the board or a regulator.
Works with any agency, panel, or platform: Qualtrics, Forsta, Decipher, anything. Piaza layers on top; there's nothing to rip out.
Every study becomes a reusable benchmark. Your research history stops being dead PDFs and makes each new study smarter.
The real cost
For a CMO, re-cutting data is rounding error. The real cost is strategic, and it's the reason slow, static research quietly hurts the business: the call that had to be made before the read landed.
The read arrived after the go/no-go was already locked. You launched on a hunch and hoped.
Creative and media were committed before the audience data was in. The course-correction cost a quarter.
Positioning set on last wave's numbers, because this wave was still stuck in production.
You can't put a clean number on any of these, which is exactly why they get ignored. Piaza collapses time-to-insight from weeks to hours, so the answer arrives while the decision is still open.
Your research is an asset
Vendor-agnostic means every study, whoever ran it, can feed one owned benchmark library. The more you run, the more each new study is worth.
What we're changing
Vendor-agnostic by design, Piaza works with every study you've already run and every study to come, turning data you already own into faster, more flexible, more valuable insight.
A new category
A self-contained file that packages data, AI-driven analysis, and interactive exploration into a single deliverable. Open it in any browser. Filter, drill down, explore. Works offline. Share it like a document.
One file. Email it, drop it on a USB, open it on a plane. No server, no internet, no dependencies.
Filters, banners, drill-downs, verbatim exploration. A full analytical experience, not a static export.
AI insights frozen at approval. Every conclusion linked to source data. No drift. Reproducible forever.
What's inside a PIA
The analysis runs inside the file. Everything below is automatic, interactive, and self-contained. It's the work an analyst seat does, in something you can email.
Nested AND/OR segments, low-base suppression, significance testing, one click, fully filterable.
Quantified themes with prevalence + confidence intervals, demographic skew, and theme-to-metric bridges.
Divergences, consensus, gap analysis, and driver rankings surfaced automatically across the study.
Cross-study and cross-wave benchmarks, plus industry and custom norms, in one shareable file.
Significance, confidence intervals, correlation, NPS, weighting, computed, never hand-built.
Click any number for its inputs, formula, and a plain-English verdict. Nothing is a black box.
Report + judgment
You don't just get charts. You get an evidence-locked written analysis, and your team's expert commentary baked into the same file, travelling with the data forever.
Demonstrated, not asserted
Every statistic in a PIA opens its own working. The reveal shows inputs → formula → intermediate values → result → a verdict in plain English.
Data accuracy
Paste your data into a chatbot and it will confidently hallucinate figures and quotes. Piaza's AI is grounded: every number it emits is re-derived from the source data before it's baked, and rejected if it doesn't match.
And unlike a SaaS dashboard, the insight is frozen at approval. It won't drift when a model updates, and every stakeholder opens the identical analysis.
Side by side
Static files and SaaS make you do the work by hand. DIY AI chat is fast, but it hallucinates the numbers, sends your data to a third party, and still hands you a static Office file. Piaza automates the analysis and locks it to the evidence.
| Dimension | Piaza.ai PIA files | Office files | SaaS analytics | DIY AI chat |
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Inside the file
Banners, verbatim, and comparison reports, all interactive, all offline, all built from the same evidence.
Simple by design
Upload survey data from Qualtrics, Forsta, Decipher, or any standard export. Map questions, themes, and demographics.
An 8-agent AI pipeline processes verbatims, quant, banners, and cross-module synthesis. Every insight is evidence-audited and round-tripped to source.
Generate a standalone interactive .pia file. Email it to your client or stakeholders. Done.
From raw data to interactive deliverable in one session.
Two audiences, one file
How the AI thinks
The order matters. Ground truth wins over LLM convenience, always.
Demographics link to quotes by code-level matching. Stats come from the real respondents, never invented.
Researchers add context and commentary that travels with the file.
The LLM organises and narrates. It never sources the numbers. Every figure round-trips back to the data.
Speaks your language
Genre-aware templates mean the themes, metrics, and narrative fit your category out of the box.
Under the hood
Eight specialised agents process your data in sequence, and each one checks the previous agent's work.
Every AI conclusion links to source data. A seven-layer validation stack round-trips every number and blocks anything it can't verify. Full audit trail embedded in the file.
Media, pharma, FMCG, automotive, financial services, retail, telecom and more. Ten industries, 60+ category templates, fully customisable.
Researchers add context and interpretation directly into the file. Notes and comments travel with the data permanently.
Trust & sovereignty
Respondent data lives inside the PIA file, not on our servers, not anywhere else. Recipients open it in any browser. GDPR-aligned: data is contained, not transmitted.
Role-based access, embedded. A PIN or password gate plus per-viewer roles, all inside the file:
Delivered as a hardened, compressed .pia container that passes email scanners and opens fully offline.
No running service required, ever
Data is never uploaded to view it
Contained, not transmitted
No dependency, no expiry
Commercial model
No subscription. No per-seat fees. No recipient costs. You commissioned the research, so you should own the deliverable.
One flat fee to generate each PIA file. No usage meter, no renewal conversations. Predictable, project-based pricing.
Share with anyone: your CMO, your board, your global team. Your cost is the same whether 5 people read it or 500.
The file lives in your filesystem, not ours. It works in 10 years with no running service. No rent, no lost access when you switch vendors.
Analyst-grade analysis. Evidence-locked AI. Private by construction.
Or email hello@piaza.ai
Caution on the 55+ read: base is small (n=24). Treat as directional, and recommend a follow-up boost before greenlight.
Agree. Let's flag this in the client readout.