AI and data
AI for the work you do, and the decisions you make.
Taking routine work off your team, forecasting demand and cash, turning scattered data into reports people trust, answering customers, or adding AI to your own product: we find where AI pays off for your business and build it properly. In Khmer, English and Chinese, on infrastructure you control.
One example
A loan application, read and checked in seconds.
The AI reads a scanned application, fills in the loan system and checks it against your lending rules. Anything missing or unusual goes to a loan officer first.
Where AI helps
A few places to start. Not a fixed menu.
- 01
Automate routine work
Forms, applications, invoices and contracts read into your systems and checked against your rules; calls and complaints reviewed; quality checked on the line. A person reviews anything uncertain.
- Who it's for
- Operations, finance, HR and back-office teams
- Instead of
- Retyping, copy-pasting and spot checks by hand
- 02
Forecasting and planning
Sales, demand, cash flow, inventory and staffing forecasts built from your own history, updated as new data arrives, with the drivers shown so managers can trust the numbers.
- Who it's for
- Finance, sales, supply chain and management
- Instead of
- Spreadsheet guesswork and gut feel
- 03
Reporting and insight
Ask your data questions in plain words, get recurring reports written and explained automatically, and have unusual numbers flagged before they become problems.
- Who it's for
- Management, finance, risk and analysts
- Instead of
- Days spent rebuilding the same monthly report
- 04
Assistants for customers and staff
Agents that answer customers on Telegram, Facebook and your website at any hour, and assistants that give staff answers from your own policies and manuals, with sources linked.
- Who it's for
- Customer service, sales, branches and HR
- Instead of
- Queues, missed messages and digging through PDFs
- 05
Data foundations
Data from your core system, ERP, bank feeds and spreadsheets brought together, cleaned and kept up to date, so AI and reports start from numbers everyone agrees on.
- Who it's for
- Any company whose data lives in too many places
- Instead of
- Five versions of the same figure
- 06
AI inside your product
Search, recommendations, summaries and assistants built into your own app or SaaS product, so your customers get the benefit too.
- Who it's for
- Product teams and software companies
- Instead of
- An AI feature that never leaves the roadmap
Your data, your rules
Your data stays where it has to.
Regulated companies often cannot send customer data abroad. We run models on your own servers or in a Cambodian data centre when the use case needs it, and use cloud models only where you allow it.
On-premise or in-country
Models and pipelines run on your own infrastructure or in a Cambodian data centre.
No training on your data
Your documents and conversations are not used to train shared models without written permission.
Audit trail
Every answer and automated decision is logged with its input and source, so you can check it later.
Khmer built in
Khmer text, chat and speech are tested from the first sprint, not added at the end.
Pricing
From a two-week sprint to a full rollout.
- Discovery sprint2 weeks
- US$4,000
- PilotOne use case, live
- US$15,000–25,000
- RolloutAcross teams
- US$40,000–100,000
- Run and improveMonthly
- US$2,000–6,000
Questions we hear
Two weeks to see AI work on your own data.
The discovery sprint ends with a working prototype, a measured result and a plan for the next step at a fixed price.