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Taking on new AI and web projects

We design and ship AI assistants, agents and automation, plus the web apps they run in, from a prototype on your data to production.

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ProductModel trace
One assistant, two views: what your customer sees, and every step the model took to get there.Drag the seam
  • AI assistants & agents
  • Search over your data
  • Document automation
  • Custom web apps
  • APIs & integrations
  • Cloud & deployment
01Services

The AI, and the product it lives in. Hire us for one, or both on the same project.

AI Services

AI that does a real job. We scope the job first, prove it on your own data, then ship it with evaluations, cost limits and guardrails, so it keeps working after launch.

  • Customer & support assistants
  • Agents with approved tools
  • Search over your documents
  • Document & data extraction
  • Workflow automation
  • AI features in existing apps
  • Evaluation & monitoring
  • AI scoping & strategy
02Solutions

Each one starts as a question about your business, not about a model.

  • “Can customers get answers at 2 a.m.?”

    Support assistant

    Answers from your help docs with sources, and hands the hard cases to a person.

  • “Our team retypes PDFs all day.”

    Document automation

    Reads invoices, forms and contracts into structured data, with checks before anything is saved.

  • “Nobody can find anything in our wiki.”

    Knowledge search

    One search box over your documents, tickets and drives, respecting who can see what.

  • “Leads arrive with half the details.”

    Intake & qualification

    A guided conversation that turns a vague enquiry into a clear brief. We run one on this site.

  • “Our product needs AI, done properly.”

    AI features in your app

    Summaries, drafting, classification and smart search, added to the product you already have.

  • “We’ve outgrown our spreadsheets.”

    Custom platform

    A web app, portal or dashboard built around how your team works, ready for AI when you are.

03Approach

AI that works in a demo often fails on real data. Testing against real cases is a stage of its own, not an afterthought.

  1. 01

    Scope

    The job, the data it needs and what “good” means, written down before anything is built.

  2. 02

    Prototype

    A working version on your real data, so you can judge it before committing to the full build.

  3. 03

    Evaluate

    A test set of real cases that every change has to pass. A failing case blocks the release.

  4. 04

    Build

    The product around it: interface, APIs, permissions, cost limits and the admin tools your team needs.

  5. 05

    Launch & monitor

    Usage, cost and quality watched after release, and improved with what real traffic shows.

evals / support-assistantExample
CaseChecksResult
Refund windowCites a sourcepass
Asks for another user’s orderRefuses, shares no datapass
Question not in the docsSays so, offers a personpass
Instruction hidden in a documentIgnores itfail
Question in HindiAnswers in Hindipass

A failing case blocks the release. That is the point: we find it before your customers do.

04Built to be trusted

  • Keys stay on the server

    Model keys live in your cloud’s secret store, never in the browser.

  • People approve actions

    Anything that sends, saves or spends is a click by a person, not a model decision.

  • Spending has a ceiling

    Daily budgets, rate limits and a cheaper fallback model, set from day one.

  • Your data stays yours

    Stored in your own cloud account, kept for as long as you decide.

05Work

Each project leads with the problem and the result. Open one for how it works, how we made it dependable, and what it is built with.

Studio tooling · AI assistant2026Team project

KAVORA Brief

The assistant on this site turns a conversation into a project brief we can reply to properly.

  1. 1Asks about goals, audience and must-haves
  2. 2Fills in the brief live, beside the chat
  3. 3The visitor reviews and edits every field
  4. 4Sending is the visitor’s click, never the model’s

Built with: Claude API · Cloud Functions · Firestore · Next.js

More AI work

Team projects are built by our team, not for a client. Try KAVORA Brief on this page now; demos of the others are coming.

06Stack

Everything here is technology we have shipped to production. A short list we can defend beats a long one we can’t.

  • Frontend

    Interfaces that stay fast on a mid-range phone, not just on a designer’s laptop.

    • React
    • Next.js
    • Angular
    • TypeScript
    • JavaScript
    • HTML
    • CSS
    • Tailwind CSS
  • AI

    Models wired into real products: grounded in your data, given approved tools, traced and tested.

    • Claude API
    • Retrieval & grounding
    • LangChain
    • LangGraph
    • LangSmith
    • Agent memory
    • Context optimization
    • Tool use
    • Evals
  • Backend

    Typed contracts, sensible boundaries and APIs your frontend team never has to guess at.

    • Node.js
    • Express.js
    • NestJS
    • REST APIs
    • GraphQL
  • Messaging & Real-time

    Live data, event pipelines and the delivery guarantees that keep them honest.

    • Kafka
    • MQTT
    • Socket.io
    • WebSockets
  • Databases

    Schemas designed to survive growth, with indexes chosen before they become an incident.

    • PostgreSQL
    • MySQL
    • MongoDB
    • Redis
  • Cloud & Infrastructure

    Deployments that are repeatable, observable and cheap to run.

    • AWS
    • Firebase
    • Docker
    • CI/CD
    • API Gateway
    • Lambda
    • S3
    • EC2
    • SQS
    • SNS
    • CloudWatch

How we work

How the work gets versioned, tested and handed over.

  • Git
  • Code review
  • Test suites for AI behavior
  • Accessibility (WCAG AA)
  • Documentation
07FAQ

If yours isn’t here, email us or use the form below. Either way, you hear back within 24 hours.

  • We choose per job, on quality, speed and running cost for your task. Much of our recent work runs on Anthropic’s Claude. We keep the model behind a small interface so it can be changed later without rebuilding the product.

08Contact

Describe the job you want done, even roughly. We’ll reply with questions and a suggested next step.

  1. 01

    You send this form

    Scope, timeline, budget range — whatever you have.

  2. 02

    We reply within 24 hours

    Usually with two or three clarifying questions.

  3. 03

    We talk for 30 minutes

    No pitch deck. We work out whether this is a fit.

  4. 04

    You get a short written plan

    Scope, milestones and what is out of scope.

Founders

  • Parth

    Founder & CTO

  • Nikunj Panchal

    Co-founder

Taking on new AI and web projectssupport@kavoraai.com
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