You will get an AI Analytics & Business Intelligence Engine built on your data
Top Rated
Project details
Most businesses are sitting on untapped data that could drive smarter decisions, reduce costs, and predict customer behavior. The problem is that raw data scattered across databases, spreadsheets, and CRMs rarely translates into actionable insight without the right infrastructure and models.
We build end-to-end AI analytics and BI solutions that turn your data into a competitive advantage. From ETL pipelines and data warehouses to predictive ML models and interactive dashboards, we handle the full stack.
What you get: a centralized data pipeline, trained ML models for forecasting or classification, and live BI dashboards in Power BI, Tableau, or custom tools. All built to your KPIs and integrated with your existing cloud environment.
Revocept Solutions has delivered analytics platforms for clients across retail, logistics, fintech, and SaaS. We don't just build dashboards, we build systems that your team can actually use and maintain.
We build end-to-end AI analytics and BI solutions that turn your data into a competitive advantage. From ETL pipelines and data warehouses to predictive ML models and interactive dashboards, we handle the full stack.
What you get: a centralized data pipeline, trained ML models for forecasting or classification, and live BI dashboards in Power BI, Tableau, or custom tools. All built to your KPIs and integrated with your existing cloud environment.
Revocept Solutions has delivered analytics platforms for clients across retail, logistics, fintech, and SaaS. We don't just build dashboards, we build systems that your team can actually use and maintain.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Azure Machine Learning, Databricks Platform, Databricks MLflow, Google AutoML, Keras, Microsoft Power BI, MLflow, Python, scikit-learn, SQL, Tableau, TensorFlow, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,500
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
Number of Revisions | 2 | 3 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 3 | 5 | 10 |
Number of Graphs/Charts | 3 | 7 | 15 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - | - |
Frequently asked questions
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KS
Kenneth S.
Aug 12, 2025
MVC App Audit and Further Development on Azure
Kunal and his team have been very helpful and patient during this project. Kunal speaks excellent English which made the communication a breeze. In the end we came across an industry specific SaaS solution that met our needs and it did not make sense to continue to develop a custom solution.
Oa
Obaid a.
Jun 9, 2025
LMS projects
MC
Matthew C.
Apr 29, 2024
Front End Engineer (Angular/Electron)
Kunal is an exceptional developer and we were lucky to have him on our team. He made short work of our problems and was able to resolve things much sooner than expected.
JE
Jonathan E.
Apr 18, 2024
Microsoft Blazor Full Stack Developer
JE
Jonathan E.
Apr 18, 2024
Microsoft MAUI Full Stack Developer
About Kunal
AI App Developer & SaaS Architect | LLM, RAG, .NET, React
100%
Job Success
Noida, India - 1:41 pm local time
I'm a full-stack developer with 14+ years of experience and 21,000+ hours on Upwork. I specialize in two things: AI product development (LLM-powered apps, RAG pipelines, AI agents, GPT/OpenAI integrations) and SaaS application architecture using .NET, React/Angular, and cloud infrastructure.
What sets my work apart is AI-assisted development — I leverage Cursor, Claude, and modern dev tooling to ship production-quality code significantly faster without sacrificing architecture or reliability.
What I build:
• AI agents, chatbots & RAG systems (LangChain, OpenAI, Claude, Vector DBs)
• SaaS platforms & enterprise-grade applications
• API-first & microservices architecture
• Full-stack development (React, Angular, Next.js, .NET Core)
• Legacy modernization (.NET Framework → .NET Core / cloud)
I hold IBM certifications in RAG and Agentic AI (2026) and have delivered solutions across fintech, healthcare, real estate, and e-learning — always aligned to business outcomes.
If you're building an AI product or modernizing a platform, let's talk.
— Kunal
Steps for completing your project
After purchasing the project, send requirements so Kunal can start the project.
Delivery time starts when Kunal receives requirements from you.
Kunal works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Requirements Discovery
We assess your data sources, KPIs, and reporting needs to define the analytics architecture and dashboard scope.
Data Pipeline & Warehouse Setup
We build ETL pipelines to ingest, clean, and structure your data into a centralized warehouse or lakehouse.