DEMO ENVIRONMENTS

Demo data that's alive, coherent, and never embarrassing.

The demo is where deals are won and lost — and demo data is almost always stale, thin, and obviously fake. Fictix makes it a company that reconciles, moves forward whenever you advance the clock, and looks like the prospect's kind of business. Seeding it from the prospect's own data is in early access.

SynthesizingMeridian SaaS Inc.

seed fx_a7f3c1

Initializing company DNA…▊
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Why demos rot

Demo environments are built once and never maintained — “last login: 8 months ago,” five fake invoices, numbers that don't add up. The moment your product has to actually computeon the data — reconcile, forecast, detect, close the books — generic demo data falls apart and the prospect stops believing. Screenshot demo tools can't help here: they fake the front end, not data your software has to do math on.

Mechanic 1 — point your product at a living company

Fictix exposes each company through native-shaped adapters, so your product connects to it much like it connects to a real customer's QuickBooks, Stripe or Plaid: change the base URL and send your Fictix project key. Your software lights up with a full, coherent business you didn't build. Advance the simulation clock whenever you want fresh activity, so the dashboard you demo shows this week instead of a timestamp from last year.

Pick an archetype like the prospect (industry, stage, size), or start from their domain.

Point your product's existing integration at the company's API base URL.

Advance the clock before the call, then demo on data that reconciles.

Native-shaped APIlittle to adapt

GET /v3/company/3f2a/query?query=SELECT * FROM Invoice
Base: api.fictix.ai/api/v1/orgs/acme/native/qbo   ← new base URL
X-API-Key: ••••••••   ← project key
200 OK · application/json
{ "QueryResponse": { "Invoice": [ {…}, {…} ],
    "startPosition": 1, "maxResults": 3247 } }

Same response shape. Change the base URL and send your Fictix project key.

Accounting

QuickBooks

Xero

NetSuite

Payments

Stripe

Square

Banking

Plaid

Mercury*

Cards / AP

Ramp

Brex*

BILL

Payroll / CRM

Gusto

HubSpot

Shopify

Comms / Ops

Slack

ASAsana

ATAirtable

Mail / Docs

Gmail*

Outlook

GDGoogle Drive

XLExcel

20 native adapters · approximate fidelity · * read-only preview · books tie out across 7

Mechanic 2 — let the prospect seed it with their own data, safely

Early access

The hardest objection in software sales is “will it work on mydata?” Prospects can't hand real financials to your sales team — so demos stay generic. Fictix sits in the middle as a neutral clean-room:

The prospect uploads an export from their own systems.

Fictix anonymizes and randomizes it — lookalike or better — while the books still reconcile.

They get a key and hand it to whoever is demoing.

Your software is populated with their business shape. You never touch their real data.

The prospect sees themselves in the demo; you see realistic, de-identified data. The deal's biggest objection disappears.

This flow is in early access. Today Fictix builds a look-alike from the prospect's domain and profile.

Reconcileone event → three systems

·Projecting one event…

Why only Fictix can do this

Anonymizing real books and keeping them coherent are in tension — scramble the numbers naively and the books stop tying out, which makes the demo obviously fake. Keeping books tied out across systems is exactly what the Fictix generator does. The engine that builds look-alike companies today is the one customer-seeded companies (early access) run on.

Start with a snapshot. Make it live when you're ready.

Build a demo environment →Talk to sales →

Questions

How is this different from demo tools like Walnut or Reprise?

Those fake the front-end UI. Fictix generates the underlying, cross-system data your product computes on — so it works for data-driven software (FP&A, fintech, AP automation, close, audit) where screenshots aren't enough.

Does the demo data stay up to date?

It moves when you move it. Advance the clock whenever you want fresh activity — new invoices, payments, MRR movement — so the demo shows recent dates instead of last year's.

Can a prospect demo on their own data without exposing it?

Not yet, it's in early access. Today Fictix builds a look-alike from the prospect's domain and profile. In early access, the prospect uploads an export, Fictix anonymizes it while keeping the books reconciled, and issues a key that populates the demo, so the vendor never sees the real data.

Will the books still reconcile after anonymization?

That's the point of the early-access flow: re-balance scrubbed data so totals still tie out, unlike naive randomization. Generated companies already tie out across seven correlated systems today.

→ Sales demos (per-prospect tailoring)→ Living simulation → Native API adapters → For Sales Engineering