Rewired
Data Intelligence

Engineering
Data That Thinks

From real-time pipelines to GenAI-driven insights, our platforms help enterprises connect, govern, and activate data as a continuous learning system.

Every CDO today faces the same paradox:

From Code Factories to Craft Guilds.

At StatusNeo, we build data systems that think, not just store.

From real-time ingestion across multi-cloud ecosystems to domain-driven data products and GenAI-ready pipelines — we design data foundations that reduce latency, increase trust, and operationalize intelligence across every function.

Impact we make

Key Enterprise Challenges We Solve

Fragmented data ecosystems with competing truth sources
Cloud migration anxiety (Snowflake, Databricks, BigQuery, Redshift, etc.)
Lack of observability across data lineage and quality

AI projects that stall at proof-of-concept


Security, privacy, and compliance fatigue


From silos to streaming ecosystems.

Our Data Engineering Model

We engineer resilient, scalable, compliant data backbones that power decisioning at scale.

Capability

Description

Data Platform Modernization
End-to-end migration and refactoring from on-prem to cloud-native architectures (AWS, Azure, GCP, Snowflake, Databricks)
Data Mesh & Product Architecture
Domain-aligned, discoverable, and reusable data assets with autonomous governance

Real-Time & Streaming Systems
Kafka, Kinesis, and Flink-powered architectures delivering event-level analytics at sub-second latency
DataOps at Scale
Automation through CI/CD for data pipelines, schema evolution control, and end-to-end lineage visibility.
Data Quality & Trust Layer
AI-powered anomaly detection, metadata governance, and self-healing pipelines.

End-to-end migration and refactoring from on-prem to cloud-native architectures (AWS, Azure, GCP, Snowflake, Databricks)

Domain-aligned, discoverable, and reusable data assets with autonomous governance.e

Kafka, Kinesis, and Flink-powered architectures delivering event-level analytics at sub-second latency.

Automation through CI/CD for data pipelines, schema evolution control, and end-to-end lineage visibility.

AI-powered anomaly detection, metadata governance, and self-healing pipelines.

Differentiators

AI doesn’t fail because of algorithms. It fails because of engineering.

StatusNeo’s AI Engineering practice bridges the gap between data science and enterprise engineering, ensuring every algorithm is explainable, scalable, secure, and monetizable.

How We Engineer AI for the Enterprise

GenAI
Integration

From LLM orchestration and RAG frameworks to domain copilots and AI-native workflows

MLOps & Continuous Learning

Drift detection, explainability dashboards, and human-in-the-loop pipelines

Model
Observability

Drift detection, explainability dashboards, and human-in-the-loop pipelines.

Federated Learning & Edge AI

Secure, distributed training across geographies
and devices.

AI Governance & Ethics

Integrated
compliance frameworks for responsible
AI.

How We Engage

Consulting-first. Engineering-always.

StatusNeo operates as a co-creation partner to your CDO/CAIO office — not as a vendor.
We begin with understanding your business value chain, not your backlog.

Our engagements run in three calibrated phases:

Phase

Focus

Output

Discovery & Architecture
Assess existing data/AI landscape, identify integration friction and business value hotspots
Transformation Blueprint
Engineering & Automation
Build scalable pipelines, models, and deployment environments
Operational AI Stack
Optimization & Scale
Apply continuous improvement loops for cost, accuracy, and resilience
Self-Learning Ecosystem
FocusOutput
Assess existing data/AI landscape, identify integration friction and business value hotspotsTransformation Blueprint
FocusOutput
Build scalable pipelines, models, and deployment environmentsOperational AI Stack
FocusOutput
Apply continuous improvement loops for cost, accuracy, and resilienceSelf-Learning Ecosystem
The Team Behind It

Your Extended AI-Native Engineering Office

 When you partner with StatusNeo, your initiative is led by a multi-disciplinary pod designed for enterprise-grade transformation:

Engagement Director

Your single throat to choke, ensuring value realization

Data Platform Architect

Designs scalable, secure multi-cloud
architecture

AI Engineering Lead

Drives model lifecycle, GenAI and integration strategy

DataOps Engineer

Automates ingestion, testing, and governance loops

Visualization & Decision Scientist

Translates insight into
action

Domain SMEs

Ensure every algorithm speaks your business language

Differentiators

Because no AI enterprise stands alone.

OpenAI Consulting Alignment
We integrate with OpenAI’s enterprise frameworks to build secure, explainable, and domain-tuned copilots for finance, aviation, and retail ecosystems.

NVIDIA GPU + DGX Optimization
Firmware-to-fabric integration for GPU orchestration, multi-node parallelization, and inference at scale.

Cloud & Platform Partnerships
AWS, Azure, GCP, Snowflake, Databricks, Dataiku, and Hugging Face — all within a unified engineering mesh.

Our Philosophy

Industry Impact Snapshots

Industry

Use Case

Impact

Banking & Financial Services
Unified customer data lake + credit risk AI
40% faster decisions, 25% reduced compliance cost
Aviation
Predictive maintenance + passenger personalization
30% operational savings, 2x engagement
Retail
Real-time demand forecasting + GenAI product tagging
18% inventory efficiency, 35% faster go-to-market
Use CaseImpact
Unified customer data lake + credit risk AI40% faster decisions, 25% reduced compliance cost
Use CaseImpact
Predictive maintenance + passenger personalization30% operational savings, 2x engagement
Use CaseImpact
Real-time demand forecasting + GenAI product tagging18% inventory efficiency, 35% faster go-to-market
Our Toolbox

The Neo Difference

A toolkit built to accelerate enterprise transformation.

Engineering-first DNA

Built on deep product-engineering rigor, battle-tested across global enterprises.

AI-native Accelerators

NeoPrism™, NeoLens™, AI Foundry™, TestCraft™—ready-to-deploy IP that compresses delivery cycles.

Deep Ecosystem Partnerships

Co-innovating with AWS, GCP, Azure, Salesforce, ServiceNow, and leading enterprise platforms.

Proven Industry Playbooks

Execution patterns for BFSI, aviation, retail, and healthcare—reducing risk while accelerating scale.

Hybrid Delivery Model

Onshore + offshore squads engineered for speed, elasticity, and full-stack execution.

Testimonials

Discover why our clients love us

What We’re Thinking. What We’re Sharing.

Insights & Open Source

0
Consultants and
Innovators
0
Awards and digital innovation
FROM DATA TO DECISION LOOPS

Data is our intelligence layer

Every pipeline, every model, every signal is engineered as part of a unified intelligence fabric —
built for accuracy, adaptability, and real-time impact.
From ingestion to inference, we turn fragmented enterprise data into a continuous system of learning and decision-making.

Design Your Intelligence Layer

    From Vision to Velocity

    Build Your AI-Native SDLC Today

    We help enterprises reimagine their software lifecycle with AI-native workflows, accelerating delivery while ensuring quality, security, and scale.

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