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An AI-first engineering partner since 2019

Retrieval quality. Evaluation harnesses. Permission models. Escalation paths. Cost control. The unglamorous layer between a convincing demo and a system your operations team depends on every day — that is the work we focus on.

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Who we are

Technology that turns ambition into advantage.

Aviox Technologies started in 2019 as a small software engineering team taking on the projects larger firms found too awkward — legacy integrations, half-documented systems, processes that lived in somebody's head and a spreadsheet.

That turned out to be excellent preparation for the AI era. When generative models arrived, the hard part was never the model; it was the same thing it had always been — understanding how work actually flows through a business, and connecting cleanly to systems that were never designed to be connected to.

Today we run AI, automation, data and product engineering as one discipline. One team owns the outcome, from the first process map to the monitoring dashboard six months after launch. We work in your repositories, alongside your engineers, and we write the runbooks as we go — because a system nobody else can maintain is not finished.

3
Capability areas: AI, data and software
10
Industries, each described on its own page
2
Global hubs — India & USA
See what we have shipped

How we work

Four principles we actually apply.

Not values on a wall. These are the four arguments we are willing to have with a client, and they shape every engagement we take on.

01

Baseline before build

If we cannot measure what the process costs today, we cannot honestly claim to have improved it. Discovery ends with a number, and that number is what we are judged on.

02

The simplest model that works

We will tell you when retrieval beats fine-tuning, when a rules engine beats a model, and when the honest answer is that this process should be redesigned rather than automated.

03

Governance from week one

Guardrails, permission scoping, redaction and audit logging are part of the first sprint. Added later they are a rewrite, and the rewrite is always more expensive than the discipline.

04

Handover is a milestone

Your engineers should be able to own, extend and debug what we build. Runbooks, architecture records and deliberate pairing are in the plan, not offered as an extra at the end.

Our journey

One direction, since 2019.

From a small custom-software team to an AI-first engineering partner — the through-line has always been the same: understand the process, then build the thing that removes the friction.

2019 Founded

  1. 2019

    Founded

    A small team taking on integration and custom software work that larger firms passed over — legacy systems, awkward data, tight deadlines. The habits formed here still shape how we scope.

  2. 2021

    Automation practice established

    Process mining and RPA became a discipline rather than a side effect. We started measuring engagements in hours returned to a team instead of features delivered.

  3. 2022

    US presence opened

    A second hub in Minnesota brought overlapping hours with North American clients and the delivery model we still run — one team, two time zones, no handover gaps.

  4. 2023

    First production LLM workloads

    Retrieval systems and document intelligence shipped into regulated environments. The evaluation-first approach that now underpins every AI engagement came directly out of these projects.

  5. 2024

    Agentic systems and MLOps platform

    Tool-calling agents with budgets, stopping conditions and full traceability — plus the platform work that lets a tenth model change ship as safely as the first.

  6. 2026

    One practice across ten industries

    AI governance, data modernisation and agentic automation now run as one practice across the ten industries described on our industry pages.

The team

How a squad is assembled.

An engagement draws on the pods below as the work requires, with one delivery lead accountable for the outcome.

AI

AI & ML Engineering

Retrieval · Agents · Models

Retrieval architecture, agent design, evaluation harnesses, fine-tuning and model selection. The people who decide what the system is allowed to decide.

DE

Data Engineering

Pipelines · Quality · Contracts

Airflow orchestration, dbt modelling, lineage and quality tests. They make sure the AI is reasoning over data someone is willing to stand behind.

PE

Product Engineering

Web · Mobile · APIs

React, Next.js, Node, Laravel and Flutter. The interfaces, integrations and services that turn a model into something a person can actually use.

PL

Platform & DevOps

AWS · Kubernetes · CI/CD

Infrastructure as code, deployment pipelines, observability and cost control. On call when it matters, and the reason releases are uneventful.

DX

Design & Research

UX · Review queues · Trust

Research-led product design, with a speciality most teams overlook: making human-in-the-loop review queues something people are willing to work in all day.

GV

Governance & QA

Risk · Evals · Audit

Control registers, model risk documentation, adversarial testing and the evaluation suites that gate every release. Your second line of defence's first phone call.

DL

Delivery Leadership

Scope · Cadence · Outcome

One named lead per engagement, accountable for the baseline and the number it has to move. The person you call when something needs to change.

SP

Support & Managed Services

Monitoring · Incidents · Retrain

Monitoring, incident response, model retraining and continuous improvement for the workloads we run after launch. Support terms are agreed per engagement.

Work with us

Want to work with the team?

Tell us what you are building and we will tell you honestly whether we are the right fit.

Contact us Take an expert consultation

By the numbers

Numbers that describe the work, not the hype.

10
IndustriesSector pages describing workflows, evidence needs and approval points.
6
Delivery stagesFrom discovery to operation, each with a defined output.
3
Capability areasAI and automation, data and machine learning, software and modernization.
2
Delivery hubsIndia and the USA, with a shared working window each day.
delivery · two hubs, one team
INMohali, Punjab — engineering hubGMT+5:30
USArden Hills, Minnesota — client hubGMT−6
◎Overlap window — daily standup4 hours
·Delivery leadNamed per engagement

Global delivery

Two hubs, one team, no handover gaps.

Our engineering centre in Mohali and our client-facing hub in Minnesota share a four-hour daily overlap. That window is not a status meeting — it is where decisions get made, so nothing waits overnight for an answer.

For clients in Europe and Asia-Pacific the overlap is wider still. Wherever you are, you get a named delivery lead in your working day and an engineering team already at their desks when you log off.

  • India — engineering hubE-299 Corporate Greens, Sector 75 Industrial Area, SAS Nagar, Punjab 160055
  • USA — client hub3673 Lexington Ave N, Ste H-2, Arden Hills, MN 55126

Our partners

We don't pretend to do it all alone.

Each one covers something we would otherwise have to fake — delivery capacity, market access, elastic engineering, or a product of our own to prove the engineering on.

RV Technologies

A UK-based IT company building mobile, web and game products for clients across more than twenty countries since 2007. When a programme needs more hands on the application layer than one team can field, we build it together — they carry product engineering depth, we carry the AI and data layer.

  • Mobile
  • Web
  • Co-delivery
2007
Building since
20+
Countries served
130+
Engineers

SeedAxis

A venture studio and capability enablement business operating across India and Africa — micro GCCs, fractional leadership and startup advisory, from offices in Pune, Jaipur, Cape Town and Johannesburg. When they stand up a capability centre that needs an AI and engineering function inside it, that is the work we do.

  • Micro GCC
  • Venture studio
  • India & Africa
4
Offices
2
Continents
GCC
Operating model

ExamsDojo

The AI exam-preparation platform we build and operate — PTE, IELTS and TOEFL attempts scored against published band descriptors in seconds. It is also our proving ground: the scoring engine, the agreement harness and the release gates we bring to client work were all hardened here first.

  • EdTech
  • AI assessment
  • Live
3
Exam formats
Live
In production
Seconds
To scored feedback

ThinkDataLabs

An ML, cloud and data engineering company that builds modern data platforms, analytics pipelines and AI-ready infrastructure. When a client needs enterprise-grade warehousing, real-time analytics or data governance underneath the AI we ship, ThinkDataLabs brings the depth and tooling to get the foundations right.

  • Data engineering
  • Machine learning
  • Cloud
500+
Projects delivered
150+
Enterprise clients
AI-ready
Infrastructure focus

Apexwebai

A software development company offering custom software, web, mobile and AI development. When a programme needs extra capacity on the web and mobile layer, or an AI feature built alongside it, we plan and deliver the work together under one roadmap.

  • Custom software
  • Web & mobile
  • AI development
4
Service lines
Custom
Software built to brief
AI
Development capability

Partner with us If you build in a sector we engineer for and want the AI layer handled properly, Partner with us

Partnerships

Partnered with Google & Clutch.

  • Google
  • Clutch

Questions

Questions about working with us.

Asked most often by prospective clients and partners.

  • Aviox started in 2019 as a small software engineering team and now runs AI, automation, data and product engineering as one practice, with one team owning the outcome from the first process map to production.

  • Engineering headquarters in Mohali, India, and a client hub in Arden Hills, Minnesota, USA. Our engineers and client team work closely together, so you always know who is building your product.

  • A small team is assembled around your workflow, with engineers and a delivery lead who stay with the work through to production, rather than handing it between groups.

  • Yes. Partners cover things we would otherwise have to fake: delivery capacity, market access, elastic engineering or a product to prove the engineering on. The partner section on this page introduces them.

Get in touch

Talk to the people behind the work.

Tell us what you are working on. A person replies within one business day, and you can also book an expert consultation at a time that suits you.

Contact us Take an expert consultation
sales@avioxtechnologies.com Reply within one business day · Mutual NDA available on request