What We Build
Three solutions,
clearly defined.
We offer a small number of focused NLP services. Each is scoped carefully, priced transparently, and delivered with documentation your team can use independently.
Back to HomeOur Methodology
How every engagement begins.
Every Quorient engagement — regardless of service type — starts from the same place: understanding what your text data actually looks like. Volume, structure, language distribution, label consistency, edge cases. These factors determine what is achievable, and at what cost.
We don't begin development before we have reviewed real data samples. Not because we are slow, but because NLP systems built on untested assumptions about data quality consistently underperform. The feasibility review exists to close that gap before significant investment is made.
Data review and scoping
We examine available samples, identify quality issues, and define the boundaries of what's buildable.
Approach selection
We propose two or three realistic approaches with their respective trade-offs, including expected performance ranges.
Development and evaluation
Build, test, measure. Evaluation against held-out data before delivery. Performance metrics documented alongside limitations.
Handover and knowledge transfer
Structured two-week handover with code walkthroughs and practical retraining exercises with your technical team.
Solution 01
Text Classification & Tagging System
SGD 1,980
Design and development of a custom NLP pipeline to categorise unstructured text data — support tickets, feedback, contracts, or internal documents — into meaningful labels defined by your team.
The system is trained on your domain-specific data and delivered with an API endpoint and integration documentation. Well-suited for organisations dealing with large volumes of text that currently require significant manual review. Includes a two-week handover period with your technical team.
What's included
- Custom label taxonomy development with your team
- Model training on your domain-specific data
- REST API endpoint with integration documentation
- Evaluation report with precision, recall, and edge case analysis
- Two-week structured technical handover
Typical timeline
4–8 weeks development + 2 weeks handover
Solution 02
Multilingual Document Summarisation
SGD 1,350
A summarisation workflow tailored to your document types — reports, meeting transcripts, policy documents — across one or more languages relevant to your operations.
Particularly relevant for Singapore-based teams working across English, Mandarin, Malay, or Tamil. The solution is tuned to preserve nuance and flag ambiguous content for human review, rather than replacing editorial judgement.
What's included
- Workflow tuned to your specific document types and formats
- Support for up to four Singapore working languages
- Ambiguity flagging for human review integration
- Configurable summary length and output format
- Documentation and two-week handover
Typical timeline
3–6 weeks development + 2 weeks handover
Solution 03
NLP Feasibility Review
SGD 390
A short technical engagement to assess whether a specific NLP application is achievable given your data, constraints, and desired outcomes.
We review available data samples, identify likely challenges, and outline two or three realistic approaches with their respective trade-offs. The output is a concise written assessment — practical enough to inform a budget decision or a conversation with your wider team.
What's included
- Review of your data samples and current constraints
- Identification of likely technical challenges
- 2–3 realistic approaches with trade-off analysis
- Concise written assessment document (5–10 pages)
- 30-minute follow-up call to discuss findings
Typical timeline
1–2 weeks from data receipt to written output
Choosing the Right Fit
Which solution applies to you?
If you are uncertain which engagement suits your situation, the Feasibility Review is nearly always the right starting point.
| Feature | Feasibility Review | Text Classification | Summarisation |
|---|---|---|---|
| Price (SGD) | 390 | 1,980 | 1,350 |
| Deliverable type | Written assessment | Working system + API | Working workflow + API |
| Multilingual support | Yes | Yes | Core feature |
| Technical handover | Call included | 2 weeks | 2 weeks |
| Best suited for | Early exploration, budget clarity | High-volume manual text triage | Multilingual document processing |
Across All Solutions
Standards that apply to every engagement.
Regardless of which solution you engage, the following principles apply to how we work.
PDPA-Compliant Data Handling
Data processing agreements in place before any engagement commences. We operate within Singapore's Personal Data Protection Act framework throughout.
Rigorous Evaluation Before Delivery
Systems are tested against held-out data. We report precision, recall, F1, and document edge-case behaviour before delivering anything.
Open-Source Tooling Where Possible
No proprietary platforms or licence dependencies. Systems deploy on your infrastructure of choice without ongoing vendor requirements.
Full Documentation Delivered
Architecture notes, training data descriptions, evaluation metrics, and deployment instructions. Complete and legible for engineers who weren't part of the build process.
Failure Modes Documented
We document where each system underperforms alongside where it works well. Understanding failure modes is essential for operating NLP systems responsibly.
Retraining Instructions Included
Your team will know how to retrain the model with new data when language patterns shift or label definitions evolve — without requiring our involvement each time.
Next Step
A conversation is always
the right starting point.
Tell us what you're working with and what you're hoping to achieve. We'll let you know directly whether it's a good fit for what we do.