Shayopra

Useful intelligence, not a demo

AI software development

We add AI where it changes a metric: faster support, cleaner data entry, better search, fewer repetitive tickets. That means retrieval over your own documents, guarded tool use, evaluation, and a human fallback, not a chatbot dropped on the homepage.

Discuss this service

What you leave with

  • AI features tied to a real workflow and a success metric
  • Grounding in your data with access control respected
  • Logging and evaluation so quality does not silently decay
  • A path to iterate prompts, tools, and models without a rewrite

Typically includes

  • Use-case selection and feasibility review
  • RAG, agents, and workflow automation
  • Integration with existing products and CRMs
  • Safety, logging, and human-in-the-loop design
  • Cost and latency budgeting

FAQ

About AI & automation

Will you just wrap ChatGPT for us?

A thin wrapper is rarely the product. We design the workflow, retrieval, permissions, and evaluation around your data so the feature is reliable enough to put in front of staff or customers.

Is our data used to train public models?

No. We use providers and settings that keep customer data out of training by default, and we can run sensitive workloads in tighter environments when required.

Start a project

Tell us what you are trying to ship.

Share the product, the constraint, and the timeline. We will come back with a clear next step, usually a scoped conversation, not a generic pitch deck.

Book an intro call