AI app and product development

We design, build and launch AI-enabled products, from a first MVP to a production app. The same team stays on to improve it after launch. Discovery comes first, so you know the scope, timeline and running costs before we build, and the code, models and data are yours from day one.

Discovery first, then one team from MVP to launch.

Clients of Tailwebs

  • Crime and Punishment
  • Kaipo
  • MOSIP
  • Raja Fashions

What can AI product development do for your business?

Example
mvp-appPull request

MVP build 0.3: onboarding and billing

  • ✓Stripe test payments pass
  • ✓Staging live
  • ✓Demo booked

AI MVPs for startups

A first version for testing an idea with real users, with billing on Stripe or Razorpay.

Example
Your SaaSIn-app assistant

Summarise this customer’s last 10 tickets

Automated replyThree themes: slow exports (6), SSO setup (3), billing dates (1). Drafted a reply for the export issue.

AI features for SaaS

Search, summaries and assistants added to your existing SaaS product.

Example
Your teamInternal assistant

What’s our refund policy for annual plans?

Automated replyPro-rated within 30 days, per Finance Policy v4, section 2. Here’s the paragraph.

Internal tools

Tools for your own team, built on company data in Google Workspace or Microsoft 365.

Everything we automate here

  • AI MVPs for startups testing an idea, with billing on Stripe or Razorpay
  • AI features added to an existing SaaS product (search, summaries, assistants)
  • Internal tools built on company data (Google Workspace or Microsoft 365)
  • Copilots for a specific industry workflow, such as legal, clinic or logistics teams
  • Document understanding and search products
  • Voice and chat products: website chat, WhatsApp and phone voice agents
  • Web and mobile apps with AI built in, in English, Arabic or Hindi
  • Rebuilding a prototype that has found users so it can scale

Will it work with the tools we already use?

Yes. We connect it to your existing systems, so data moves between them on its own and nobody copies it by hand.

AI product developmentby Tailwebs
  • OpenAI
  • Anthropic
  • Firebase
  • Stripe
  • Razorpay
  • AWS

Work we have shipped

kaipo.ai
Tailwebs product

Kaipo

An AI companion app on iOS and Android that remembers what matters to each person and replies in their language.

  • Long-term memory built on MongoDB and a Qdrant vector store, so the companion recalls what matters
  • Safety moderation on every conversation
  • Replies in the language each user chooses, including Hindi and Hinglish
[Result: users, ratings or other figures, and in production since]Visit the live siteRead the case study

How much does AI product development cost?

It depends on your volumes and tools, so you get a fixed quote after a 30-minute call. AI model usage and hosting after launch are estimated in discovery and listed separately.

Get a quote on WhatsApp
Our workScoped on the call, before any work starts
Fixed quote
Third-party costsListed separately, never marked up
At cost

Questions buyers ask

How much does it cost to build an AI app?

It depends on the scope, so we price it after a discovery phase that fixes what the first version must do. Book a 30-minute call to start, and you get a fixed quote for the build once the scope is clear.

How long does an AI MVP take?

[Typical time from kickoff to a working MVP in front of users]

Do I need a discovery phase?

Yes, for anything beyond a small prototype. Discovery settles what the first version must do, what it will cost to run and what can wait, so the build doesn't change shape halfway through. [Discovery length and whether it is paid]

Should we use an off-the-shelf model or build a custom one?

Start with an off-the-shelf model; it's faster and cheaper, and most products never need more. Train or fine-tune your own only when tests on your data show the off-the-shelf model can't reach the quality you need.

What costs come after launch?

AI model usage, which grows with your users, plus hosting, monitoring and ongoing improvements. Discovery estimates them before you commit to the build.

Who owns the code and the IP?

[Ownership terms: code, models, data, prompts and accounts]

Should we validate demand before paying for an MVP?

Yes, if you can. A landing page, a waiting list or a manual version of the service tells you whether people want it before you pay to build it, and discovery can include that test.

How much do compliance requirements add?

It depends on your industry and where your users are. We list the requirements during discovery and price them into the quote, so they aren't a surprise later.

Get a fixed quote for AI product development

Prefer email? hello@tailwebs.com