01In one minute
LaRovere Intelligence is a subscription business-intelligence platform we build and operate for clients. For each client, we research their target market — companies, decision-makers, relationships, and market size — and deliver it as a secure, searchable database and report. Our promise, and our difference: every single fact is backed by a cited source, independently checked, and archived — never guessed, never made up.
We sell it as packages (a base platform plus optional add-ons) and offer ongoing data refreshes. The same platform serves many clients at once, each walled off from the others. E-Solutions is our first client — their existing researched data becomes the proof that the platform works with real information.
The requirements are now fully defined and agreed. This document is the checkpoint before we start building. Nothing here needs a technical background — where a term is unavoidable, it is explained.
02What a client gets
The experience, from the client's side of the screen.
- A secure login to their own private dashboard — invite-only; no one signs themselves up.
- Their researched company universe — deep profiles for priority targets, lighter cards for the rest — searchable and filterable (by role, region, size, priority, and more).
- Full evidence on tap — click any fact and see its source link, the exact quote, an archived snapshot, and how confident we are in it.
- A relationship map showing how companies connect (parent, partner, supplier, competitor, and so on), each link sourced.
- Market-size analysis and a notes/contacts area the client fills in themselves.
- Reports — a polished PDF, plus (as an add-on) a builder that compiles their chosen data into a custom report.
03How it is packaged & priced
A foundation everything else builds on, then a base platform, then optional add-ons. Prices are one-time to start and deliberately easy to change as the product matures.
| Offering | Price | What it includes |
|---|---|---|
| Data layer Foundation | from $15,000 | The researched, cited dataset + a PDF report. Everything else depends on this — no data, no add-ons. |
| Platform (dashboard) | $5,000 | The interactive dashboard over the data: registry, search, filters, relationship map, roles, market-size, evidence. |
| Add-on — Report Builder | $5,000 | Compile client-chosen data into a comprehensive custom report. |
| Add-on — Sales CRM | à la carte | Notes, contacts, and write-back that feeds the client's existing sales system (North Boundary). |
| Add-on — Construction data (Dodge) | à la carte | Live construction-project data. Requires the client's own Dodge license plus a license for us to manage it on their behalf. |
| Data refresh (subscription) | $2,500 / month | We re-run the research on a schedule the client picks (daily through annual). Flat monthly to start. |
04The features
Everything in the platform, in plain terms. The label on each shows where it stands.
Company registry Decided
Full company profiles and quick cards, with priority and tier.
Search & filters Decided
Search a client's whole universe; narrow by role, region, size, confidence, and more.
Evidence drawer Decided
Every fact's source, quote, archived snapshot, and confidence — one click away.
Relationship map Decided
How companies connect, each link cited and clickable within the client's set.
Role tagging Decided
Each company classified (customer, partner, competitor…) with a reason.
Market-size analysis Decided
Total/serviceable/obtainable market, by region and category, reconciled two ways.
PDF report Decided
A fixed, point-in-time deliverable — the core of the data layer.
Report Builder Planned
Assemble chosen data into a custom report (a paid add-on).
Sales CRM area Planned
Client-entered notes and contacts that feed their existing sales system.
Contradiction findings Planned
Where a public claim is contradicted by confirmed evidence, we present both — cited, side by side.
Construction data Future add-on
Live project data (Dodge), switched on per client.
AI assistant & smart search Future add-on
Natural-language search and drafting — added later, with the same citation guardrails.
05What makes it different
Anyone can generate a list of companies. Our value is that the data is trustworthy — and we can prove it.
Research
We gather the market data from public sources.
Audit
An independent check cross-examines every fact against its source.
Confirm & archive
Each fact is confirmed and a snapshot of its source is saved.
Human review & publish
We review, then push the verified data live to the client — nothing appears unchecked.
Facts that are likely but not yet sourced are kept and clearly flagged "verify before outreach" — never deleted, never dressed up as confirmed. If a search finds nothing solid, it says so and offers those flagged candidates rather than inventing an answer. This discipline is the product's whole reason to exist, and it is built into the data itself, not bolted on.
06Trust & safety
Client data is walled off
Each client only ever sees their own information. One client can never reach another's data — enforced deep in the system, not just hidden in the screen.
Everything is cited
Personal information is limited to public professional details, each with a source. Nothing private, nothing uncited.
Licensed data handled correctly
Paid data sources (like construction data) are used only under the client's own license — never resold or republished.
Secure, invite-only access
Login is invite-only with modern security. It starts with an emailed code and can move to company single-sign-on as clients grow.
07Key decisions
The significant calls made so far — each with the reasoning behind it.
Build fresh, keep the original as-is.
Because the first version proved the idea; a clean rebuild lets us make it commercial-grade for many clients without dragging along one-off code.
Two separate spaces: the live product and an internal testing sandbox.
Because we need somewhere to try new features safely, using fake sample data, without any risk to real client information.
Packages are flexible and easy to change.
Because pricing and tiers will evolve; the system is built so we can switch to subscriptions or adjust add-ons later without a rebuild.
Bring E-Solutions' existing data in as the first client.
Because it is already researched and checked, so it proves the platform works with real, cited information from day one. It loads into the live database when we go live.
No live AI in the client dashboard at launch.
Because the "everything is cited" promise must stay airtight; all AI work happens behind the scenes through our checked pipeline. A client-facing AI assistant can be added later as an add-on, with the same guardrails.
Report contradictions with citations — no "misinformation" labels.
Because presenting cited contradicting evidence is powerful and defensible; asserting someone spread misinformation on purpose is a legal risk we avoid. We show the evidence; the reader draws the conclusion.
An independent review of every piece of work as it's built.
Because a second, independent check catches quiet mistakes that "it seems to work" would miss — fitting for a product whose value is accuracy.
Stay on current hosting for now; move to a dedicated LaRovere account later.
Because the priority is getting the product built. The move is straightforward and can happen when the timing is right, before we take on paying clients at scale.
08The roadmap
The build proceeds in stages, each one a working, reviewable milestone.
Foundation
Secure logins, client separation, and the cited-data backbone.
Data & registry
Load E-Solutions' data; make the company universe live and searchable.
Dashboard
Search, filters, relationship map, evidence — the full client view.
Notes & packages
Client notes/CRM, saved views, and the packaging/report builder.
Add-ons
Construction and sales-system connections, per client.
Refresh & archive
Scheduled refreshes, history, and the testing sandbox.
Open questions for you
A few decisions were deliberately left open because they are business calls, not technical ones. Your view on these would help most.
1 · When the same company appears for two clients
Do we research that company separately for each client (cleaner, but duplicated effort and cost), or research it once and share it (efficient, but one client's paid refresh could benefit another)? Leaning toward keeping each client's data separate, with behind-the-scenes reuse to cut cost — but it's your call.
2 · Typical client size
How many companies does a typical client universe contain? (E-Solutions is ~250.) This shapes cost and timing. We've assumed a range and can adjust.
3 · Onboarding commitment
What turnaround do we promise a new client, from signing to their live dataset? We've assumed roughly one to two weeks depending on size.
4 · Fair pricing for refresh frequency
A daily refresh costs us more effort than a quarterly one. Start flat at $2,500/month and refine to reflect effort later — agreed?
5 · When to move to a dedicated LaRovere account
Deferred for now. When should the move happen — before the first paying client, or later?
09Plain-language glossary
- Universe
- The set of companies we research for a given client — their target market.
- Provenance / citation
- The evidence behind a fact: its source link, the exact quote, an archived snapshot, and a confidence grade.
- Refresh
- Re-running the research to update a client's data on a chosen schedule.
- Add-on
- An optional paid feature (e.g., Report Builder, construction data) layered on the base platform.
- Sandbox
- A separate, internal-only copy of the product with fake sample data, for safely testing new features.
- Push / publish
- The step where we review verified data and make it visible to the client. Nothing appears before this.
- Confirmed vs. candidate
- Confirmed = fully sourced. Candidate = likely but not yet sourced, shown flagged "verify before outreach."