Most teams use 1% of AI. We build the other 99.

Kaikode is an AI development agency. We build mobile apps, web apps, video products and data platforms on Snowflake and Databricks, with an AI expert working alongside your team until it ships.

“We need our support inbox to stop eating three hours a day.”

Head of Support

Support agent

Reads the ticket, checks the order, replies with a citation. Escalates the rest with a summary.

61%resolved without a person

What we do

Three kinds of work, one team. Every item below is a thing we have built and will build again.

The AI expert who works alongside your team

One senior engineer, embedded with your people from one day a week to full time. They find the work worth automating, build it in your tools, and teach your engineers the patterns as they go.

How the retainer works
  • MonA ranked plan of what gets automated next, with the value next to each item.
  • Tue to ThuBuilding in your repo, your Slack and your standups. Pairing with whoever wants to learn.
  • FriA short note: what shipped, what it saved, what is next.

Selected work

All work
  1. 61%of tickets resolved without a person

    An agent that closes support tickets before the team wakes up

    Example logistics company. AI agent, 2026.

  2. 90 sfrom voice note to shareable clip

    A mobile app that turns a voice note into a finished video

    Example creator platform. Mobile and video, 2026.

  3. 38%lower monthly data platform cost

    One Databricks lakehouse replacing four warehouses

    Example retail group. Data platform, 2025.

  4. 22automations shipped in six months

    An embedded AI engineer who automated a fintech back office

    Example fintech scale-up. Embedded AI expert, 2025.

How we work

  1. 1

    Scope

    A 30-minute call. We tell you what is buildable, what it costs and how long it takes. A written proposal follows in 5 days.

  2. 2

    Build with your team

    Weekly working software in your repositories, your Slack and your standups. Your engineers pair with ours so the knowledge stays.

  3. 3

    Ship and run

    Launch, 30 days of fixes, then a handover or a light retainer. You own every line, every prompt and every account.

  • 30 minfirst call, no prep needed
  • 5 daysfrom call to written proposal
  • 3–5 wksto a first working AI agent
  • 100%of the code and accounts are yours

What clients say

Our toolkit

Every name here runs in a system we built and still operate.

Questions we get on the first call

All questions
What does it cost?

Projects are fixed price, agreed in the proposal before any work starts. The embedded AI expert is a monthly retainer from one day a week to full time. Most first projects land between 15,000 and 80,000 USD; retainers start around 6,000 USD a month.

Will you train on or expose our data?

No. Your data stays in your accounts. We use model providers under zero-retention terms, can deploy inside your own cloud, and sign your NDA before the first call if you prefer.

Who owns what you build?

You do. Code, models, prompts, documentation and accounts are yours from day one. We work inside your repositories so there is nothing to hand over at the end.

How long does it take?

A 30-minute call, then a proposal in 5 days. A first working AI agent in 3 to 5 weeks. A mobile or web product v1 in 8 to 12 weeks. A data platform migration in 6 to 12 weeks. Timelines are in the proposal and we hold ourselves to them.

What happens after launch?

Every project includes a handover and 30 days of fixes. After that you can run it yourself, keep us on a light retainer for monitoring and improvements, or bring the embedded expert in to keep shipping.