Prilixor

MICROSOFT AZURE AI

Azure AI SolutionsBuilt to Earn Their Place

Intelligence applied where it removes real manual effort or improves a decision that matters, rather than where it makes a good demo.

Discuss an AI use case See our work

INTELLIGENCE, APPLIED

Driving Smarter Business Decisions with Artificial Intelligence

Artificial intelligence lets organisations automate the repetitive, spot patterns they were missing and give customers a noticeably better experience. Prilixor uses Microsoft's Azure AI services to build intelligent solutions that improve efficiency and support better decisions, working inside the security and compliance boundary you already operate in.

There is a lot of AI being added to products that were doing fine without it. We are not interested in that. We build intelligence into a system when it removes real manual effort, improves a decision that carries weight, or makes something possible that simply was not before. If a use case does not clear that bar, we will say so and suggest what to do instead.

WHY AZURE AI

  • Scalable intelligence
  • Faster insights
  • Enterprise-grade security
  • Seamless integration
  • Accelerated innovation
32+
Clients served globally
78+
Completed projects
99%
Satisfaction rate

WHAT WE DO

Our Azure AI Services

From the first use-case assessment to a model running in production, with the monitoring that keeps it honest afterwards.

Azure IoT Hub

Secure two-way communication between your devices and the cloud at scale, covering connection, provisioning, monitoring and lifecycle management of the whole fleet.

Explore engineering 

Azure Stream Analytics

Real-time processing on data in motion, so alerts, anomalies and thresholds are acted on as they happen instead of surfacing in tomorrow's report.

Explore engineering 

Azure Bot Service

Support and internal assistants built on Bot Service and Copilot Studio that resolve queries against your own systems rather than deflecting them to a form.

Explore engineering 

Azure NLP

Document understanding, summarisation, sentiment analysis and search over your own content, turning unstructured text into something you can actually query.

Explore engineering 

Azure AI Services

Vision, speech, language and decision APIs applied to real business processes, from invoice extraction to quality inspection to voice transcription.

Explore engineering 

Azure Databricks

Large-scale data engineering and machine learning pipelines, giving your data science team a platform that holds up in production rather than in a notebook.

Explore engineering 

WHY IT WORKS

Key Benefits of Azure AI

  • Scalable Intelligence

    Models and services that grow with your data volume instead of needing a rebuild once adoption picks up.

  • Faster Insights

    Answers in minutes rather than at the end of a reporting cycle, from data you already hold.

  • Seamless Integration

    Drops into your existing .NET, Azure and Power Platform estate without a separate integration project.

  • Enterprise-Grade Security

    Your data stays governed, private and inside the compliance boundary you already operate in.

  • Accelerated Innovation

    Test an idea in weeks and find out early whether it is worth building properly.

Zoocom Everle Microsoft Flynas EVO EG4 Electronics Zoocom Everle

WHERE AZURE AI DELIVERS

The work AI should be taking off your team

AI earns its keep fastest where the work is repetitive, high-volume and currently done by people reading documents. Here is where we see it pay back.

Healthcare
Clinical document summarisation and automated coding support for admin teams.
Real Estate
Listing descriptions, enquiry triage and automated document verification.
Insurance
Claims document extraction, fraud signal detection and first-line query handling.
Finance
Invoice extraction, reconciliation matching and anomaly detection on transactions.
E-Commerce
Product recommendations, demand forecasting and automated support responses.
Energy & IoT
Predictive maintenance and anomaly detection across live sensor telemetry.
Hospitality
Guest sentiment analysis and multilingual support automation across channels.
Logistics
Route optimisation, delay prediction and automated exception handling.

Have a process eating hours every week? Let's find out whether AI should be doing it.

info@prilixor.com +91 85112 25390

Case studies

Our Work

All case studies →
Retail investing app

2.1×faster onboarding

4.8★store rating at launch

Retail investing app

Fintech · .NET + Azure

Wallet & portfolio app

−41%support tickets

99.95%API availability

Wallet & portfolio app

Fintech · .NET MAUI + Azure

Property portal

3.2×enquiry conversion

−58%listing publish time

Property portal

Real Estate · .NET + Azure SQL

Clinic appointments platform

−38%no-show rate

4→1booking systems

Clinic appointments platform

Healthcare · .NET + Azure SQL

HOW WE WORK

From use case to production

Six stages with a defined output at each one. You always know what stage you are in and what lands at the end of it.

  1. 01 Discovery
  2. 02 Planning
  3. 03 Pilot
  4. 04 Development
  5. 05 Deployment
  6. 06 Support
Week 1–2

Discovery

We assess the use case honestly, including whether AI is the right tool at all. Data quality gets checked before anything gets promised.

What you receive

  • Use-case assessment with a go or no-go
  • Data readiness and quality review
  • Expected accuracy and cost model
  • Fixed estimate for the pilot
Start at stage 01 →

DELIVERY SNAPSHOT

What a typical Azure AI engagement looks like

14–16 wks
Use case to production for a typical build
Week 7
Honest go or no-go call after the pilot
100%
Your data stays inside your own tenant

BUILD YOUR TEAM

Great products start with great developers

Hire Azure AI developers who can tell you where intelligence will help and, just as usefully, where it will not.

Hire Developer →

  1. Define Your Project Vision

    An initial call to understand your requirements, preferred stack, timeline and the kind of engineer who will actually fit your team.

  2. Expert Talent Matching

    You receive profiles of pre-vetted developers matched to your needs, usually within 48 hours of that first call.

  3. Streamlined Onboarding

    You interview and choose. We handle contracts, access and environment setup so your developer is contributing in week one.

  4. Ongoing Delivery Support

    A delivery manager stays available for performance reviews, scaling the team up, or swapping skills as your roadmap shifts.

INDUSTRY EXPERTISE

Empowering every industry with smart solutions

Every sector has its own rules and its own definition of working properly. We build solutions that respect those realities instead of forcing you into a template.

Real Estate

1 — Industry

Real Estate

Listing portals, agent CRM and document workflows that keep transactions moving.

  • Portals
  • Agent CRM
  • E-signing
See  Real Estate  work →

Client success stories

What our partners say.

5.0 across Clutch, Upwork & Google

The quality of the work delivered by your team is exceptional. The attention to detail, precision, and craftsmanship exhibited in every aspect of the product is truly commendable.

Manager, Flynas

COMMON QUESTIONS

Questions we get asked before every AI project

If yours is not here, ask us directly. We will give you a straight answer, including when the answer is no.

Ask a question →

How do we know whether AI is right for our use case?

That is exactly what discovery answers. We look at the volume of the work, the quality of your data and what an error would actually cost. Roughly a third of the use cases we assess get a recommendation to solve it with automation or better process design instead. That advice is free.

Will our data be used to train someone else's model?

No. Azure AI and Azure OpenAI run inside your own tenant, and your data is not used to train the underlying models. Everything stays within the compliance boundary you already operate in.

How accurate will it be?

It depends entirely on the task and your data. We set measurable accuracy targets during planning and prove them in a pilot before you commit to full build. If the pilot misses the targets, you get a no-go recommendation rather than a bigger invoice.

Do you only work with Microsoft models?

Azure is our default because it keeps governance simple, but we integrate Claude, OpenAI and Gemini where a different model genuinely fits the task better. The choice gets made on results, not on a partnership badge.

What does it cost to run?

AI has a per-use cost that traditional software does not, so we model it during discovery based on your expected volume. You see the running cost before you approve the build, and we monitor it after launch.

What happens when the models improve?

They will, and quickly. We build with version control on models and prompts so upgrading is a tested change rather than a rebuild. Evaluating newer models is part of our ongoing support.

GET IN TOUCH

Tell us which decision is costing you the most

Describe the problem, not a specification. We will come back within one business day with questions, an honest view on whether AI is the right answer, and a rough shape of timeline and cost.


Find out whether AI belongs in your business before you spend on it

Get in touch