What we do

Three services, one method. Every engagement runs through the same five steps and the same verification gates, whether we are shipping your first AI feature or your whole product.

AI product engineering

We design and build AI products end to end: agents that plan and act, retrieval pipelines grounded in your data, and evals that keep quality measurable. The AI is the feature; the product around it is the work.

For founders and product teams who want an AI product in production, not a prototype in a deck.

A scoped brief and plan

What we are building, for whom, and what is out of scope. Agreed before code.

A working agentic product

Agents, RAG pipelines, and the interface around them, shipped to production.

An eval suite

Automated quality checks for the AI layer, so regressions surface before users.

A real platform

Auth, CI/CD, observability, and rollback. The layers demos skip.

The VibeManager workspace, an AI product engineered by Adhunik Labs

Representative work: VibeManager, our flagship agentic product.

AI consulting and build

Most AI advice arrives as slides. Ours arrives as a working system. We tell you where AI belongs in your business, where it does not, and then we build the part that earns its keep.

For enterprises and growing teams that need a trustworthy read before they commit a budget.

  1. 01

    Read

    We map your workflows and data, and identify where AI genuinely earns its place.

  2. 02

    Recommend

    A short, written recommendation: what to build, what to buy, what to skip.

  3. 03

    Build

    We implement the recommendation ourselves. The strategy and the software come from one team.

  4. 04

    Hand over

    Documentation, training, and a clean exit. Your team runs it without us.

Software products and services

The full range of product engineering, with or without an AI angle: web apps, mobile surfaces, platforms, and the infrastructure underneath. We own the whole stack, so nothing falls between vendors.

  • Web applications
  • Mobile surfaces
  • APIs and integrations
  • Data and storage
  • Auth and permissions
  • Hosting and CI/CD
  • Observability
  • Design systems

Representative work: all four of our products run on this stack, built by this team.

Where we are honest with you

  • If a template or an off-the-shelf tool solves your problem, we will say so before you spend.
  • If AI is the wrong tool for the job, we will recommend the boring thing that works.
  • If a brief sits outside our depth, we would rather point you to the right people than learn on your budget.

Have something to build?

Tell us what you are trying to make. We will come back with how we would approach it.

Start a project