Agents that use your tools
A user asks for something; the agent completes it across your systems, with approved actions, retries and a person in the loop where it matters.
AI engineering company, India. Clients worldwide.
AIVETech designs and builds AI features, agents and complete AI products for software teams and for businesses building their first AI app. Scope, price and acceptance criteria are agreed before any code is written.
Proof of work

In-house product
Keeps every customer promise tied to the work behind it.
Soil tracks the owner and deadline, flags blocked work before a date slips, and asks for approval before any update goes out.
Visit meetsoil.com
Shipped as an engineer
Shows which credit card earns the most on every purchase.
Kartik built production features as an engineer on this live fintech app.
What we build
Each of these fits inside one scoped engagement. Most clients start with one and add the next once it is live.
A user asks for something; the agent completes it across your systems, with approved actions, retries and a person in the loop where it matters.
Speech-to-text, text-to-speech and hand-off to a person, tested for your languages and the latency callers will accept.
Search and answers over your own material, with citations, permission checks and measured accuracy before release.
Extract the information, draft the follow-up, move the record between tools. Rules, review points and failure handling agreed first.
A working app from the ground up: backend, accounts, your own messaging, voice and the AI layer, built so you can switch model providers later.
Connect the feature to your existing authentication, data and APIs, with deployment, monitoring and handover agreed up front.
Inside Soil
Real software you can open and click through, not slides.
Customer promises drift away from engineering work. Soil records the promise, the owner and the deadline, links the evidence, and confirms delivery separately, with approval before any external action.
Workspace accounts and permissions, Slack and repository integrations, FastAPI and PostgreSQL, with tests covering the workflows and access boundaries.
Built and run in-house. The public demo uses fictional data.
Terms
Agreed in writing before the build starts.
The build is quoted at a fixed price at the end of the sprint. New requirements are written down and priced before any extra work starts.
Repository, domain, cloud and AI-provider accounts are set up in your name from day one. Intellectual property transfers as each milestone is paid.
You review running increments every week, and decisions are recorded as the build goes.
Tests and evaluation results against the acceptance criteria you signed off, including failure paths.
Release to your cloud account, never ours. Credentials only through an agreed secure channel.
Defects against the agreed criteria are fixed for 30 days after handover.
Process
Six steps, each with something you can see and sign off.
Your product, users, data and constraints. One outcome worth testing.
Scope, price, milestones and acceptance criteria, in writing.
Working increments you review every week. Decisions recorded.
Real cases, failure paths and integration checks against the criteria.
Source, configuration, documentation and ownership of every account.
Release and rollback plan reviewed with you. Live only on your approval.
Pricing
Every project starts with a short, fixed-price sprint. You get the architecture, the screens and a fixed price for the build, whether or not you continue.
USD 2,500fixed price
Go ahead with the build and the USD 2,500 comes off the build price.
Book a call to startFixed priceagreed at the end of the sprint
Most builds run USD 3,000–15,000 depending on scope. Milestone payments tied to acceptance. Scope changes are priced before any work starts.
See how a build runs
Team
Kartik Malhotra, founder and principal engineer, leads every engagement from scope to handover. Design, QA, security-testing and DevOps specialists join each project as it needs them, named in the proposal and agreed with you first.
No account managers, and no hand-off to a junior team after the sale.
Before you enquire
AIVETech (also written Aivetech) is an AI engineering company founded in 2026 by Kartik Malhotra and based in Dehradun, India. It designs and builds AI features, AI agents, voice AI agents, RAG chatbots and complete AI products for software teams and businesses worldwide, starting with a fixed-price two-week discovery sprint. It is not affiliated with Aivatech or Aivantech.
Yes. We review your code, authentication, data and APIs in the discovery sprint and agree the integration and deployment environment before any build work starts.
The feature and its integrations, tests and evaluation results, source code, configuration guidance and handover documentation. The proposal lists each deliverable and its acceptance criteria.
You do. The repository, domain, cloud and AI-provider accounts are set up in your name from day one, and intellectual property transfers as each milestone is paid.
New requirements are written down and priced, with their effect on the milestones, before the extra work starts. Nothing is added quietly.
We map where data is processed and retained, use test data wherever possible, and take credentials only through an agreed secure channel. Regulatory and security requirements are scoped for your deployment in the sprint.
We read every brief and reply by email with questions or a proposed scoping call. Paid work is agreed separately; sending a brief does not commit you to anything.
Start
Book a 30-minute call or send a short brief. We read every one and reply by email with questions or a proposed scoping call.