HomeServicesCase Studies AboutInsightsContact Book a Consultation
AI · Data · Consulting

AI that ships.
Data that decides.

AUREVIA turns real business problems into deployed AI systems and data platforms. We handle discovery, architecture, engineering and support, so the work reaches production, not just a pilot deck.

6Service lines
100%Production-focused delivery
2–4 wksTypical time to first release
24×7Managed support option

Built on the platforms your enterprise already trusts

Azure OpenAIAWSDatabricksSnowflakeLangChainPower BI
What we do

One partner from idea to production

Strategy, engineering and support under a single accountable team, with no handoffs between a consulting firm and a build shop.

How we work

A delivery model built for outcomes

01

Discover

Workshops with your teams to map processes, data and the measurable outcome we are aiming at.

02

Design

Solution architecture, evaluation criteria, security model and a scoped delivery plan you sign off on.

03

Build

Two-week sprints with working demos, transparent progress and testing baked into every increment.

04

Deploy & Scale

Production rollout, monitoring, cost and latency tuning, plus enablement so your team can own it.

Industries

Domain context, not generic AI

We start from how your industry actually operates: its documents, regulations and decision cycles.

Selected work

Results we have engineered

Representative engagements showing the problem, the system we built and the measurable outcome.

Why AUREVIA

Engineering rigour, consulting clarity

01

Domain-first approach

We learn your workflows before proposing a model. Context beats cleverness every time.

02

Production-grade delivery

Tested, documented, monitored code, built to survive audits, scale and handovers.

03

Transparent pricing

Fixed-scope quotes or clear day rates. No hidden change-request economics.

04

Dedicated pods

A stable, named team for your account, not a rotating bench of unfamiliar engineers.

Client voices

What working with us feels like

“They came in with questions about our underwriting process before they came in with a solution. That difference showed up in the results.”
Operations DirectorSpecialty Insurance Carrier
“The first working demo landed in three weeks and the system was live in production the same quarter. That pace is rare.”
Head of DataFinancial Services Group
“Documentation, monitoring and a proper handover. Our internal team owns the platform now, which was exactly the goal.”
CTOB2B SaaS Platform

Have a problem worth solving with AI?

Tell us what is slow, manual or invisible in your business. We will tell you honestly whether AI is the right answer, and what it would take.

Services

Everything needed to take AI
from idea to production

Six connected service lines. Engage with one of them or let a single pod run the whole journey.

Engagement models

Work with us the way that fits

Project-based

A defined scope, fixed timeline and agreed price. Best when the outcome is clear and you want delivery risk on us.

Fixed scopeFixed price

Dedicated team

A named pod of engineers and consultants embedded with your team on a monthly basis. Best for evolving roadmaps.

MonthlyEmbedded pod

Advisory retainer

Fractional access to senior architects and strategists for reviews, decisions and direction. Best alongside internal build teams.

RetainerSenior access

Not sure which model fits?

A 30-minute call is usually enough to figure it out. No obligation, no pitch deck.

Book a Free Consultation
Case studies

Systems in production,
outcomes on record

Filter by industry or service to see how we approached similar problems. Metrics shown are representative engagement outcomes.

Case study in depth

RAG-based document automation for a specialty insurer

Challenge

Underwriters and support staff searched manually across tens of thousands of policy documents, endorsements and forms. Routine queries took hours, answers varied between people, and nothing was traceable to a source document.

Approach

We indexed the document corpus with semantic chunking, built a retrieval layer with re-ranking, and wrapped it in an answer service that cites the exact clause behind every response. Access is scoped by role, and every query is logged for audit.

Architecture

Ingestion pipeline → chunking and embedding → vector store with metadata filters → hybrid retrieval and re-ranker → LLM answer service with guardrails → web application with citation viewer and feedback capture.

Tech stack

Azure OpenAILangChainVector DBFastAPIReactDocker
70%

Faster document processing

40k+

Documents indexed

100%

Answers with source citations

1 qtr

Concept to production

Want a walkthrough of a similar build?

We will show the architecture, the trade-offs and what it would look like on your data.

Talk to our team
About AUREVIA

We build the AI systems
that actually go live

AUREVIA exists because most enterprise AI never leaves the pilot stage. We combine consulting judgement with hands-on engineering so the work survives contact with production.

Our mission

Make AI useful at the operational level

Our mission is to help organisations move past AI experimentation and into measurable operational change, by pairing deep domain understanding with production-grade engineering, and by staying accountable for outcomes rather than deliverable counts.

Our story

Founded on a recurring frustration

AUREVIA started with a pattern we kept seeing from inside enterprise delivery teams: strategy decks that never became systems, and prototypes that collapsed the moment real data, real users and real compliance requirements arrived.

We founded the firm in Navi Mumbai with a narrow premise: the people who advise on AI should also be the people who build and operate it. That single change removes the handoff where most enterprise AI programmes lose momentum.

Our values

Three things we refuse to compromise

Outcome over output

We measure ourselves on the business metric that moved, not the number of documents delivered.

Engineering rigour

Tested, documented, observable code. If it cannot be monitored and maintained, it is not finished.

Radical transparency

Honest estimates, visible progress and early warnings. You hear bad news from us first.

Our approach

Small teams, short cycles, real users early

Every engagement runs on the same operating principles, whether it is a two-week assessment or a year-long build.

Start with the workflow

We map the human process before choosing any model or platform.

Ship something in weeks

A narrow, working slice in production beats a broad prototype that never lands.

Measure honestly

Evaluation criteria agreed upfront, then reported against without spin.

Hand over properly

Documentation and enablement so your team can run and extend the system.

From our founder

A note, from us to you

We started AUREVIA after watching too many good AI ideas die quietly in a slide deck. Every leadership team we sat across from wanted the same simple thing: technology that actually changed how their business ran day to day, not another proof of concept that impressed a room for an hour and was never heard from again.

The gap was never ambition. It was accountability. A consulting firm would hand its recommendations to a build shop, the build shop would hand a finished product to a support desk, and by the third handoff nobody quite remembered what the original problem was supposed to solve. So we built AUREVIA around a much simpler idea: the people who understand your problem should be the same people who stay until it is actually fixed.

That is still the whole promise today. Whether it is a two week assessment or a year long build, you are working directly with people who treat your outcome as their own, and who do not disappear the moment the invoice is paid.

If that sounds like the kind of partner you are looking for, we would genuinely like to hear what you are working on.

S
Aryan & SmitFounder, AUREVIA

Work with a team that stays until it is live

Tell us about the problem. We will tell you what it takes to solve it properly.

Book a Free Consultation
Insights

Notes from building
AI in the real world

Practical writing on AI engineering, data platforms and transformation, drawn from delivery, not from press releases.

Contact

Let’s scope your
first win together

Share a few details and a senior consultant, not a sales rep, will get back to you.

Thank you. Your enquiry has been received and we typically respond within one business day.

Tell us about your project

Please enter your name.
Please enter a valid work email.
Please enter your company name.
Please choose a service.
Please tell us a little about the project.

By submitting, you agree to be contacted about your enquiry. We never share your details.

Direct contact

  • info@aurevia-global.comGeneral enquiries and proposals
  • +91 79772 44762Mon to Fri, 10:00 to 19:00 IST
  • Kamdhenu Business BayNear Juinagar Station Road, next to BMW Showroom, Sector 1, MIDC Industrial Area, Navi Mumbai, Maharashtra 400706
  • Within 1 business dayOur response-time commitment

Book a 30-min discovery call

Pick a slot that suits you. No preparation needed, just bring the problem.

Choose a time slot