AI Product Development
AI is only useful when it is wrapped in a product people want to use. We design and build AI features around a clear job to be done — matching, search, recognition, or memory — and ship them inside complete web and mobile products.
AI products we have shipped
- Slingshot — AI-based filtering and hiring platform for marketing roles
- running.pictures — facial-recognition photo discovery for marathon events
- Vivah.pictures — guests upload a selfie and instantly find their wedding photos
- 2Care AI — AI that remembers patient documents, plus monitoring across 500+ vitals
- TCL — AI-enabled community platform with discussions, quizzes, and reviews
From prototype to production
Many AI ideas stall after a demo. We focus on the parts that make an AI product dependable: clean data flows, sensible fallbacks when the model is unsure, costs that scale with usage, and interfaces that make results easy to trust.
Slingshot shows the payoff: companies hiring on the platform close positions within about a week, compared with the two to four weeks a hire typically takes.
Where AI fits in your product
- Search and matching (candidates, products, photos)
- Document understanding and long-term memory
- Image and face recognition
- Recommendations and personalisation
- Internal copilots and workflow automation
Case studies
An AI recruiting platform built for marketing roles that helps companies close positions in about a week — versus the typical 2–4.
Case study ↗running.picturesAn AI photo platform for marathons: runners find every photo of themselves in seconds with facial recognition, and organisers deliver branded galleries fast.
Case study ↗Vivah.picturesAn AI wedding photo platform: guests upload a selfie and instantly get every photo they appear in, ready to download and share.
Case study ↗2 CARE AIAn AI patient-care and telehealth platform that remembers every medical document a patient shares — and monitors 500+ vitals — so long-term care never starts from scratch.
Case study ↗TCLA brand community platform with discussions, blogs, quizzes and product reviews, plus gamification that keeps members engaged.
Questions
Do you build AI MVPs?
Yes. We scope the smallest AI feature that proves value, build it inside a usable product, and ship in 8–12 weeks for most MVPs.
Which AI models do you use?
We choose models per use case — hosted large language models, vision and face-recognition models, or classic ML — based on accuracy, cost, and data-privacy needs.
How we can help
Plan, design, build, and launch your web, mobile, or AI product with one team. MVPs in 8–12 weeks, fixed quote after discovery.
Service ↗Product strategyTurn a product idea into a clear, buildable plan. Cofiato defines users, priorities, and MVP scope before development begins.
Service ↗EngineeringBuild web, mobile, SaaS, and AI products with engineers who connect technical decisions to product goals, design, and launch.
Let's move your business forward.
Tell us how your business works today and what you want to improve. We reply within one business day, or you can book a 15-minute call.