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Data & AI Product Engineering

Build Smarter.
Ship Faster.
Scale Further.

We design and engineer end-to-end AI-powered products and data platforms that turn your business intelligence into a competitive advantage.

Start a Project → View Case Studies
50+
AI products shipped
98%
Client retention
12×
Avg. ROI delivered
40+
Engineers & data scientists
Apache Spark
AWS SageMaker
dbt
Snowflake
Databricks
Kubernetes
LangChain
OpenAI API
Terraform
Apache Kafka
BigQuery
Azure ML
PyTorch
Airflow
GCP Vertex AI
Apache Spark
AWS SageMaker
dbt
Snowflake
Databricks
Kubernetes
LangChain
OpenAI API
Terraform
Apache Kafka
BigQuery
Azure ML
PyTorch
Airflow
GCP Vertex AI
Core Services

Everything Data.
Everything AI.

From raw data pipelines to production AI systems — we handle the full stack so you can focus on your business.

⚡
01
Data Engineering

Scalable pipelines, data lakes, and warehouses that move your data reliably — from ingestion to insight.

ETL/ELT Pipelines Data Lakes Data Warehousing Real-time Streaming Data Governance
🧠
02
AI / ML Solutions

Custom machine learning models — predictive analytics, NLP, computer vision — built and deployed for real-world impact.

Predictive Models NLP / LLMs Computer Vision GenAI MLOps
🚀
03
AI Product Engineering

We don't just consult — we build. End-to-end AI-powered applications from architecture to production deployment.

AI SaaS Apps API Development AI Agents RAG Systems UI/UX
☁️
04
Data Platforms & Cloud

Cloud-native data platform architecture on AWS, Azure, and GCP — optimised for performance, cost, and scale.

AWS Azure GCP Snowflake Databricks
Products & Solutions

Built by us.
Owned by you.

Our flagship AI tools, data platforms, and automation solutions — ready to deploy or white-labelled for your brand.

DataPulse Analytics
Unified data intelligence platform
NexusML Studio
No-code ML model builder
AutoFlow RPA
Intelligent process automation
DocIntel AI
Document intelligence & extraction
DataPulse Analytics — Dashboard
2.4M
Events / day
99.9%
Uptime SLA
48ms
Avg latency
# Real-time pipeline config
pipeline = DataPulse("prod-pipeline")
pipeline.connect(source="kafka://events")
pipeline.transform(schema="auto")
pipeline.sink(target="snowflake://dw")
94%
Accuracy
3hr
Train time
15+
Algorithms
# AutoML pipeline
from nexusml import Studio

model = Studio.AutoClassifier()
model.fit(X_train, y_train)
preds = model.predict(X_test)
model.deploy(endpoint="prod")
✓ Model trained and deployed in 2h 47m
10K+
Tasks / hr
80%
Cost saved
200+
Connectors
# Automation workflow
flow = AutoFlow.create(
  trigger="email_received",
  actions=["extract_data",
    "update_crm", "notify_slack"]
)
99%
Extraction acc.
50+
Doc types
<2s
Processing
# Document extraction
doc = DocIntel.load("invoice.pdf")
result = doc.extract(
  fields=["total", "vendor", "date"]
)
# → {"total": 4820.00, ...}
Case Studies

Results that speak.

🏦
Financial Services
Real-time Fraud Detection at Scale

Built an ML-powered fraud detection pipeline processing 5M+ transactions/day for a major fintech — reducing fraud losses dramatically while keeping false positives low.

97%
Detection accuracy
$4.2M
Annual savings
🏥
Healthcare
AI-Powered Clinical Document Intelligence

Deployed DocIntel AI across 12 hospitals to extract and structure patient data from unstructured clinical notes — saving 10,000+ hours of manual work annually.

10K+
Hours saved / yr
99.1%
Data accuracy
🛒
Retail & E-commerce
Unified Data Platform & Demand Forecasting

Migrated a leading retailer's fragmented data systems to a unified Snowflake/dbt platform, then layered ML-based demand forecasting to reduce overstock by 35%.

35%
Inventory reduction
8×
Reporting speed
SYSTEM ARCHITECTURE
Data Sources
Ingestion Layer
Transform
Data Lake
Warehouse
ML Models
AI APIs
AI-Powered Product ✦
● All systems operational  ·  99.97% uptime last 90 days
About Us

We build AI products,
not just strategies.

NexusAI is a specialized Data & AI Product Engineering company. Unlike traditional consultancies, we don't hand you a slide deck — we hand you working software. Our cross-functional teams of data engineers, ML researchers, and product engineers ship end-to-end AI solutions that generate measurable business outcomes.

Founded by engineers with deep roots in FAANG-level data infrastructure, we bring enterprise-grade rigor to companies of all sizes — from funded startups to Fortune 500s.

⚙️
Engineering-First
We build for production, not proof-of-concept. Every solution is deployable, maintainable, and scalable.
📊
Outcomes over Output
We measure success by business metrics — revenue, savings, efficiency — not lines of code.
🔒
Security by Design
Data privacy, compliance (GDPR, HIPAA), and security built into every layer from day one.
🌐
Cloud Agnostic
We work across AWS, Azure, and GCP — choosing the right tool for the job, not vendor lock-in.
Insights

From the lab.

All Articles →
🤖
AI Engineering Apr 14, 2026
Building Production RAG Systems That Actually Work at Scale

Most RAG demos look great until you put 10 million documents in them. Here's how we architect retrieval-augmented generation systems that survive contact with real enterprise data — chunking strategies, reranking, hybrid search, and observability.

Read Article →
📊
Data Engineering Apr 7, 2026
dbt + Snowflake: The Modern Data Stack in 2026

A practical guide to setting up a production-ready modern data stack with dbt Core, Snowflake, and Airflow.

Read →
🧠
MLOps Mar 29, 2026
When to Fine-Tune vs. Prompt Engineer Your LLM

The decision framework we use with every client to decide when fine-tuning is worth the cost — and when it isn't.

Read →
Contact

Let's build something
extraordinary.

📧
Email
hello@nexusai.io
📍
Headquarters
Hyderabad, India · Remote-first
⏱️
Response time
Within 24 hours
🌐
Available timezones
IST · GMT · EST · PST
Recommended stack
For production AI products, we recommend
Next.js + Vercel for the frontend,
FastAPI for AI services, and
AWS/GCP for data infrastructure.