AI applications, built to flex
Tildasoft builds software around the way your company works. AI sits inside the product, and the rules, stages, and plans stay yours to change.
- AI that does a real job
- Flexible rules, stages, and plans
- A system your team can keep reshaping
Four products. Each one flexible. Each one with AI in the work.
AI inside the product
- Farkle's bots take a seat and play the hand
- OtoHobi, Exitcar, and Joinard put AI on the repetitive steps
Flexible by design
- House rules, claim stages, rental handoffs, school plans
- The product bends. The team does not have to.
The site and the system behind it
- A public page and the panel your staff actually live in
- Payments, subscriptions, messages, dashboards, and roles
The work
How the flexibility is built
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Start from the real work
A tavern table, a claim file, a rental desk, a lesson plan. We model the operation before we decorate it.
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Leave the rules open
Scoring, stages, plans, and roles stay configurable, so a change in the business is a setting, not a rebuild.
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Put AI on the repetitive part
Bots that play, sorting that moves a file, matching that fills a booking, practice that points to the next step.
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Keep a person in charge
AI does the grind. The host, the operator, the teacher, and the student keep the decision.
What we put in the platform
The public site is the front. The system behind it is where AI and flexibility earn their place.
Each website, in detail
Farkle Tavern is our game at farkle.tildasoft.com. Friends join a live table in the browser. AI opponents take real seats, so a game can start before the party is full and still play a proper hand. The flexible part is the chamber: the host picks Classic or Kingdom Come scoring, the goal, the turn clock, a personal time bank, and when a score can be banked. Chat sits beside the dice.
Farkle
Multiplayer dice, with AI at the table
otohobi.com.tr is the public site for a vehicle damage-repair and maintenance center. Behind it, the control panel runs the operation. A file moves through opened, in progress, system approval, rental-car approval, approved, and completed, with service, parts, company, and users in the same place. The stages stay flexible, because every fleet works a little differently. AI sits in that pipeline so the repetitive sorting does not wait on a person, while the team keeps the decision.
OtoHobi
The site and the damage desk Exitcar is a car rental system we built on its own, not as a screen inside OtoHobi. The desk is flexible: vehicles, approvals, and the handoff into a job follow the operator's rules instead of one fixed script. AI does the repetitive matching, so people spend their time on the booking that actually needs them.
Exitcar
Car rental, separate from the repair work Joinard is a music education platform we delivered. Students, teachers, and the school shared payments, subscriptions, comments, a dashboard, and private messages. Plans and access were flexible, so a school could change what a subscription included without a rebuild. AI was part of the learning loop, keeping practice and the next step in front of the student. It is no longer in service, and we do not have screenshots from it.
Joinard
Music education, in one system Tell us the operation. We will leave it flexible.
AI where it shortens the work. Rules, stages, and plans you can still change.
