10+ years in tech across FinTech, EdTech, SaaS/PaaS and B2C startups. I started as a digital marketer in SaaS/PaaS, moved through EdTech and FinTech, and shipped 40+ products across five companies. Now I run product at BlackPixel AI — an AI-first B2B platform for the photo print industry.
The thesis I work from at BlackPixel: most photo businesses lose 80% of their started orders somewhere between upload and checkout. Not because customers don’t want the album, but because the editor was built on the assumption that the user knows what they want. They don’t. We rebuilt that interaction around a draft-first approach — the AI ships a finished album in 25 seconds, and the user just reviews. The conversion math changes accordingly.
What I’m most interested in: the operational economics of B2B AI — specifically, the moment a market shifts from «hire more people to do the work» to «deploy AI at the bottleneck and redeploy people to higher-value work.» Photo album production is a clean example. Most industries have at least one such moment hiding in plain sight.
BlackPixel AI is delivered in three shapes: as a back-office tool that internal production teams use to ship 25 albums a day instead of two; as an embedded editor on the websites of photo print businesses (print shops, photo studios, wedding photographers, online photo book brands, retailers with photo product lines); and as a turnkey solution for founders launching new photo book businesses without owning their own printing capacity.
The engine is the same across all three: neural networks generate a print-ready album in 25 to 90 seconds, with proper bleeds, ICC color profiles and resolution matched to professional press equipment. AR «Living Photos», AI style generation from text, photo restoration, Google Drive and Google Photos integration (critical for Latin America), and 12 print formats including layflat, bifold, trifold and pagebook.
Validated on 1,800+ albums across 4 countries. Three interface languages: English, Spanish and Portuguese.
Practical pieces I’ve written for photo print businesses, photo studios, and founders building in this space.
The shift from manual layout to AI-generated drafts — what changed in 2024–2026, and what to expect by 2027.
Read →Real benchmarks: 50 photos in 25 seconds. Cost-per-album breakdown. Where humans still win.
Read →Definition, three integration models, pricing models, and seven evaluation criteria.
Read →Bleed and safe zones, ICC color profiles, resolution and DPI, file formats. The technical reference for prepress.
Read →The growth playbook for photo studios that hit a designer-headcount ceiling. From 50 to 500 albums per month.
Read →How «Living Photos» work, why couples buy them, and how to position AR as a premium upsell.
Read →Why this matters for Latin America, the difference between Drive and Photos APIs, the full upload-to-print pipeline.
Read →Restoration vs colorization vs enhancement: when each adds value, and when it ruins the original.
Read →I’m always open to hearing what real production days look like for print companies, photo studios and founders building new photo book businesses. Drop me a note — or request a demo and we’ll generate an album from your photos in real time.
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