One job, not an AI label
We start from the task a user is stuck on. If a model does not make that task faster or clearer, it does not go in the first release.
Ship a useful AI product in 3 weeks, on a fixed price.
AI app development means a mobile or web product where a model answers from your content, drafts, recommends, or finishes a workflow step. We scope one job, connect a hosted model, and plan the MVP for 3 weeks on a fixed price.



A clear product beats a longer feature list. These are the rules we use before a sprint starts.

We start from the task a user is stuck on. If a model does not make that task faster or clearer, it does not go in the first release.
The build includes screens, accounts, a backend, and the model connection. A chat window with no product around it is not the deliverable.
Early products use a hosted model such as OpenAI, Claude, or Gemini. Training a private model waits until a hosted model cannot do the job.
When the app must stay on your material, we retrieve from those documents and show the user where an answer came from.
Each model call has a price. We cap usage, cache repeated work, and show what a normal session is likely to cost before launch.
The app source ships to you. Provider accounts stay in your name when the model vendor requires a customer account.
Strategy, the product build, and the model layer. Mobile, web, or an AI feature added to software you already run.
We pick the one job the model should do, the data it needs, and the screens around it. You leave discovery with a scoped MVP, a model choice, and a price from our published packages.
We design and build the mobile or web product, the backend, and the model connection. The MVP Sprint covers up to 8 screens, core features, and launch support.
If the product already works, we add search, summarization, drafting, or a support assistant through your current APIs. The rest of the app stays in place.
Answers come from your documents, help center, or product data, with the source visible to the user. Low-confidence questions can be handed to a person.
Multi-step work such as intake, routing, and follow-up, with a person reviewing anything that should not run unattended.
Before release we check real prompts, failure cases, latency, and what a typical session will cost. The build includes 1 month of post-launch support.
Pick one for the first release. A second workflow can wait until people use the first one. Read how we choose AI features that earn their cost.

01
A support or product assistant that answers from your help docs, policies, or catalog, and passes unclear questions to a person.

02
Drafting, lookup, and next-step help inside a workflow people already use, with a way to edit the result.

03
Find the right item, article, or record when filters are not enough. Useful in catalogs, content apps, and internal tools.

04
Turn long notes, listings, or uploads into a short result the user can check. The source stays attached to the summary.

05
Intake, classification, and follow-up across a few steps. A person still approves actions that move money, records, or customer messages.

06
Generation only when it removes a step, such as a listing description or a first draft. Decorative generators stay out of the MVP.
Tell us the user and the job. We will say whether it fits an MVP Sprint or needs a custom quote.
Same packages as the rest of Tovosolutions. AI usage from OpenAI, Anthropic, or Google is billed by them, on your account.
From $4,999
Up to 8 screens, custom UI, one core AI job, a basic backend, QA, and launch support. Planned for 3 weeks.
From $11,999
Up to 20 screens, an admin dashboard, roles, API integrations, and a wider AI workflow once the first job is proven.
From $4,000/month
Weekly delivery after launch: prompt updates, new features, cost checks, and maintenance with the same team.
Quoted
Several model workflows, a large document set, or an internal system. We scope it before any build starts.
Full package details live on the pricing section. The way we set a fixed price is explained in fixed pricing for app builds.

UI work is included in the MVP Sprint and Scale packages. We design the input, the result, the loading state, and a correction path before development goes far.
The phone or browser talks to your backend. The backend talks to the model. Native work can also go through our iPhone, Android, and cross-platform teams.
Six steps. The 3-week clock starts when the scope is agreed, which is the same path described in shipping an MVP in 21 days.

You describe the user, the job, and what a good answer looks like. We say if AI belongs in version one.
We lock the screens, the data the model may see, the provider, and the package. Model usage is priced apart from the build.
Flows, wireframes, and the AI states: waiting, streaming, wrong, and empty. Users need a way to correct a bad result.
We build the app, the API, authentication, and the model layer. Keys stay on the server.
We run real prompts, failure cases, device checks, and a cost pass. A feature that is slow or expensive gets cut or capped.
Store or production release, then 1 month of support for bugs and setup. Later changes sit on the monthly plan.
Real apps built by Tovosolutions, trusted by thousands of users worldwide.

Cross-platform mobile app for all-in-one AI chat with multiple models, built using React Native and Expo.
View App
Over 15k active users. Multiple AI chatbot app with multiple models, built with React Native and Expo.

Multi AI chatbot experiences with multiple models, built with React Native for iOS and Android.
View App
Full-featured AI chatbot with React and Tailwind CSS. Turn missed calls into sales with AI-powered conversations.
Visit WebsiteThe process stays the same. Regulated records, especially health and finance, are scoped so sensitive fields are not sent to a third-party model.

Redesign is optional. A working product can gain one feature: better search, a draft, a summary, or an assistant, without a rewrite.
AI app development is the design and build of a mobile or web app where a model does a specific job: answering from your content, drafting, recommending, or moving a workflow forward. At Tovosolutions that means the screens, the backend, and the model connection in one fixed-price project.
A focused MVP starts at $4,999 and is planned for 3 weeks. The Scale package starts at $11,999. Ongoing product work starts at $4,000 per month. Hosted model usage is billed by that provider and is not included in the build price. Larger scopes are quoted after a discovery call.
A single AI job with up to 8 screens is planned for 3 weeks after the scope is agreed. More roles, a large document library, or several workflows take longer and are estimated before work starts.
Yes. We ship iPhone apps, Android apps, and cross-platform apps with React Native, Expo, or Flutter, plus web products. The model usually runs on the server so the phone stays responsive and API keys stay off the device.
Not as the default. Most first versions connect a hosted model and, when answers must follow your material, retrieve from your documents. Fine-tuning or a private model is a later scope, and only when a hosted model cannot do the job.
Yes. We add one feature, such as search, summarization, drafting, or a support assistant, through the APIs you already run. We do not rebuild the product to attach a model.
You receive the project source code. When the provider requires a customer account, that account is opened in your name. We do not keep the product hostage to our keys.
Before launch we decide what may be sent to a model, who can see results, and which fields stay out of the prompt. We do not advertise a HIPAA or SOC 2 certification. Health, finance, and children's data need to be named on the discovery call so they can be excluded.
The build includes 1 month of support for bugs and setup questions. Prompt updates, cost reviews, and new features continue on the monthly product team or a separate agreement.
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