Automation for lighting brands & suppliers
Datasheets, photometric files, catalogues, price lists, dealer feeds, quotes from designers' schedules. If your team retypes the same product data into PDFs, websites, spreadsheets and quotes, we automate it — with software and AI built around the systems you already run.
Today: typed into
Generated, every time
Your business
Pick what fits and jump straight to the examples for your kind of business.
Manufacturers 5 examples Simple Sockets parts 
Design brands 4 examples Ombra, from our lamp range 
Distributors & wholesale 5 examples Find a Lamp, our AI catalogue 
Agents & specification 4 examples Thorium, from our lamp range 
Showrooms & online shops 3 examples Simple Sockets at home 
Every lighting business 2 examples King and Queen, from our lamp range The problem
It's rarely the product. It's the data around it, retyped for every channel, every language and every project.
ERP, datasheet, website, price list, dealer feed and quote. Every new variant means six edits, and one of them goes wrong.
Every variant and language laid out in InDesign, then rebuilt when a driver or a lumen value changes.
The LDT file says one thing, the datasheet another, and a lighting designer notices before you do.
Someone matches every line of a designer's fixture schedule to your range and prices it, by hand.
Designers ask for alternatives, files and lead times. The answers exist; finding them is what takes the time.
Each distributor, platform and webshop asks for its own feed or spreadsheet, and keeping them current is a job in itself.
Before you build anything
Think of one task in your company and tick what's true. Frequent, repeatable work on digital information is where software pays back fastest — and we'll tell you what we'd do about it.
Score 0 of 9
How much could you save?
Your own numbers, for one repetitive task.
What fits
A proper tool
Weeks of your team's time every year. Worth one source of truth.
Counted over 46 working weeks and 40-hour weeks. This is your estimate of your own process, not a promise; the process review replaces it with a measured number.
How often × how long
Every task in your company sits somewhere on this grid. Wherever yours lands, there's something we can do — except the bottom left, where we'll tell you to leave it.
Tick the questions above and your task's quadrant lights up.
What we build
Most lighting businesses need a mix. We start with the smallest thing that gives you back the most hours.
Scripts, feeds and connections between the systems you already have.
A private web app with one product database, and every document and feed generated from it.
Reading, matching and drafting — with your product team checking the result.
Dashboards and reports from your products, projects, quotes and sales.
Use cases
Real processes from lighting brands and suppliers, and what software does with them. Pick your place in the chain; examples for every lighting business apply to everyone.
Products, variants, drivers, optics and finishes stored once. Datasheets, price lists and web pages are generated from it.
Replaces · The same data in the ERP, InDesign and the website
A warning when the LDT or IES file disagrees with the datasheet on lumen, wattage or colour temperature.
Replaces · Spotting mismatches by eye, or not at all
Products exported as GLDF and catalogue data, so lighting designers find correct, current products in their calculation software.
Replaces · Outdated plug-ins and files sent on request
Every variant's datasheet laid out in your design and language from the product data, and regenerated when a value changes.
Replaces · Rebuilding datasheets in InDesign
Descriptions and translations drafted in your brand voice from the product data, for your team to check.
Replaces · Writing every variant's copy by hand
Supplier and OEM PDFs read into structured product records, with a person checking each field against the source.
Replaces · Copying specs from PDFs field by field
One product database, exported in the format each webshop, dealer and platform asks for, and kept current automatically.
Replaces · A different spreadsheet for every customer
Find products across your range by beam angle, CRI, IP rating and size — or from a photo.
Replaces · Browsing catalogues and price lists
A fixture schedule goes in. Every line is matched to your range and priced, with doubtful matches flagged for you.
Replaces · Matching schedules line by line
Every project followed from specification to order, per designer, region and product family.
Replaces · A spreadsheet of projects nobody updates
Customers upload a photo of their room and get advice and a shortlist from your range, as we built for Find a Lamp.
Replaces · Customers guessing, and returning what doesn't fit
Questions from designers matched to products, files and lead times, and drafted as a reply for your team to send.
Replaces · Hunting through folders and price lists
Which products miss photometry, images, translations or certificates, before a designer asks.
Replaces · Finding gaps when a project needs the file
Examples for every lighting business are shown with every filter.
Your stack
You don't have to replace anything. We connect through exports, file formats, APIs and scripts, so your ERP stays your ERP and your designers keep their layouts.
Worked example
How we built Find a Lamp, our own AI lamp finder. The same building blocks a lighting brand or distributor needs. Not a client project.
Before
Lamp data arrives from many suppliers in different formats, with missing fields, duplicates and specifications nobody can search by.
Supplier catalogues read in, whatever their format, on a schedule that keeps them fresh.
Fields mapped to one structure, units made consistent, and the same lamp from two suppliers recognised as one.
Filters for price, style and region, and visual search that finds lamps that look like the one in a photo.
A photo of a room goes in; lighting advice and a shortlist come out, and the chosen lamp is rendered into the photo.
Over 21,850 lamps, three AI features in production, used by the public at findalamp.com.
After
For a lighting brand the same blocks turn messy product data into one clean range: searchable, comparable and ready for every datasheet, feed and quote.
Data and security
Unreleased products, project prices and designer relationships are confidential. The setup reflects that from the first line of code.
A dedicated server in the EU, or your own office server.
AI providers configured for zero retention and contractually barred from training on it.
Unreleased products and project prices processed by open models on your own hardware. Nothing leaves your building.
Source code, data and documents are yours, with exports in CSV, Excel and JSON at any time.
Process
Nothing is built that you haven't seen first.
We follow one product launch or one project quote from start to finish and map where your hours go. You get a clear scope and price before anything is built.
Every screen and your document layouts, clicked through together and changed before any code is written.
Short build blocks, each ending in a review where your own product data goes through the real thing.
Training, user and admin guides, the source code and your data. Small changes stay easy afterwards.
Typical ranges from our service pages, not commitments. The process review gives you the real number.
Background
Hola Studio started as a lamp company: a dozen products taken from sketch to shelf. Drivers, photometric files, packaging and dealer price lists are familiar ground — we speak your language.
Hola Studio
2020
The studio started as a lamp company — a dozen products taken from sketch to shelf, which is where the manufacturing knowledge came from.
Hola Studio
2020
A modular light fitting — one universal base, a cover in any shape and colour that twists on, and any bulb — so a lamp, a wall light or a pendant cluster costs a fraction of a designer fitting.
Internal product
2026
An AI lamp finder — photograph your room, get lighting advice and a shortlist from 21,000 lamps, then render the one you like into the photo before you buy.
Clients include Museum Boijmans Van Beuningen · Municipality of The Hague · The Hague University of Applied Sciences
FAQ
No. Your ERP and PIM keep doing what they're good at. We connect to them through exports, APIs and scripts, and generate the datasheets, feeds and quotes from the data you already have.
No. We use EU-hosted AI with zero retention and no training on your data, and for unreleased products the AI can run entirely on your own server.
Usually that's where we start. Cleaning, structuring and deduplicating product data is exactly what we did for Find a Lamp's 21,000 lamps, with a person checking what the software isn't sure about.
Often the first win is small: datasheets generated from one spreadsheet, or a photometry check that runs on every new file. Use the check on this page; if a task is frequent, repeatable and already digital, it's usually worth a conversation.
We don't publish prices, because scope decides it. The process review maps one product launch or project quote and ends with a clear scope and price before anything is built.
Typically 1–4 weeks for a process review, 4–12 weeks for a focused AI tool or automation, and 6–14 weeks for a company platform.
You do. You receive the source code, the data and the infrastructure accounts, with no lock-in.
Yes. We started by designing and manufacturing our own lamps, we light concerts and theatre, and we built Vaib, the first AI lighting design platform, and Find a Lamp. LDT files and drivers are everyday work for us.
Tell us how a product or a project quote moves through your company today. We'll tell you honestly what's worth automating, and what isn't.
Hola's studio assistant
Hola — I'm Ola. I know how the studio works: what we build, how we scope it, and what engagements usually cost.
Ask me anything, or tell me what you're trying to make.