About neo.ai

Built for AI
that Ships. Enterprise AI enablement from Singapore.

neo.ai (NEOAI Pte. Ltd.) transforms raw, unstructured enterprise data into production-grade AI intelligence. We partner with organisations from initial data audit to live, monitored production systems — and we don't walk away at deployment.

The Company

End-to-end.
No handoffs.
No shortcuts.

neo.ai is a Singapore-based enterprise AI enablement company that transforms raw, unstructured data into production-grade AI intelligence. We provide end-to-end services spanning data collection, multimodal annotation, model fine-tuning, and MLOps deployment — delivering over one million labelled assets per hour at 98%+ accuracy across more than 30 languages.

We partner with organisations in Automotive, Healthcare, Retail, Financial Services, Manufacturing, Technology, and Media to take AI projects from an initial data audit through to live, monitored production systems. Every engagement runs through a single team — no hand-offs between a "data vendor" and a "model team".

Our work is grounded in a simple belief: most AI projects fail not because the technology doesn't work, but because the data underlying it hasn't been treated as a first-class product. We fix that.

1M+
Labelled assets
per hour
98%+
Annotation
accuracy
30+
Languages
supported
7
Industry
verticals
How We Work

From Idea
to Intelligence

01

Discovery & Data Audit

We map your data landscape, identify quality gaps, and define the labelling schema before a single annotation is made. No guesswork — every engagement starts with a clear picture of what you have and what you need.

02

Data Strategy & Pipeline Build

We design labelling workflows, build QA gates, and establish ground truth standards. AI-assisted tooling is layered with human expert review — ensuring accuracy at scale without sacrificing precision.

03

Model Development & Fine-Tuning

We start with state-of-the-art foundation models and adapt them to your domain-specific use case. RLHF, RAG pipelines, prompt engineering — we use whatever the job requires, validated against benchmarks that actually matter to your business.

04

Production Deployment

We ship to your environment — cloud, on-premise, or edge — with full integration into existing workflows. MLOps infrastructure, deployment automation, and monitoring are built in from the start, not bolted on at the end.

05

Continuous Monitoring & Improvement

Post-launch, we watch for model drift, trigger retraining when performance degrades, and expand capabilities as your needs evolve. We stay engaged because the work doesn't end at go-live.

Our Principles

What guides
how we build

Principle 01

Data is the product

Model performance is a downstream consequence of data quality. We treat labelling, annotation, and curation with the same engineering discipline we apply to model development.

Principle 02

Outcomes over outputs

We measure success by business impact — yield improvement, hours saved, revenue generated — not label throughput or model accuracy alone. Every metric we track maps to something that matters to your business.

Principle 03

No hand-offs

Data labelling, model development, and deployment run through a single team. There is no seam between the "data vendor" and the "AI team" because they are the same team.

Principle 04

Responsible by default

Every model we ship is evaluated for fairness, explainability, and reliability before it touches production data. Responsible AI isn't a compliance checkbox — it's built into how we work.

FAQ

Common
Questions

What does neo.ai do?
neo.ai is an end-to-end AI enablement partner that transforms raw enterprise data into production-grade AI intelligence, covering data collection, preprocessing, labelling, and model deployment.
What industries does neo.ai serve?
neo.ai serves Automotive, Healthcare, Retail, Financial Services, Manufacturing, Technology, and Media & Advertising sectors.
Where is neo.ai based?
neo.ai is headquartered in Singapore, operating as NEOAI Pte. Ltd.
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