AI Coworkers. Across every function of your business.
After more than 20 years of delivering Data Analytics systems to hundreds of firms in Southeast Asia, we now design and deploy AI Systems that work alongside your team — built on Allmates.ai, integrated into the systems your business already runs on. Sales, finance, operations, HR, and more. One pain point or company-wide. Our flagship Lighthouse Approach takes you from “where do we start?” to a running pilot in eight weeks.
A 2-minute introduction to Allmates.ai — the multi-LLM AI agent platform behind every KMS deployment.
Our Credentials
Twenty years building data systems that get used.
KMS is the Master Reseller for Allmates.ai across Southeast Asia, and a long-standing Microsoft Power BI and Qlik partner. We’ve been delivering analytics in this region since 2004. AI is the next layer of that work — same discipline, new tools.
Twenty years of clients. A few you might recognize.
What We Build
Unlocking the Power of AI for Analytics and Automation
KMS designs and deploys structured AI Systems. We build AI that works the way real businesses work — connected to your ERP, your CRM, your finance and HR systems. Multi-agent. Multi-LLM. Designed to fit your operations, not the other way around.
Not pilots that stall.
Not a chatbot bolted onto the side of the website. Systems that get deployed, get used, and get held accountable for the work they’re built to do.
Gen-AI Platform
Orchestrating Performance Across Your Enterprise
Allmates organises its 400+ MATES across four pillars — the four kinds of work most businesses actually need help with.
Content & Communication
ContentMate, KnowledgeMate — streamlining content creation, knowledge management, and communication across teams.
Decision Intelligence
StrategyMate, AnalyticsMate — delivering strategic insights and data-driven recommendations to every decision-maker.
Skills & Team Augmentation
DevMate, FinanceMate, LegalMate, DataMate, QA-TestMate — augmenting professional capabilities across development, finance, legal, data, and quality assurance.
Operations & Automation
Operator, SchedulerMate, BillingMate, FollowUpMate, AlertsMate — automating workflows, scheduling, billing, follow-ups, and alerts.
Deployment Scope
Start with one role. Or one team. Or roll it out across the whole business.
Most clients begin with a single function where the pain is sharpest — sales, finance, operations — and expand from there once the value is obvious.
By Function
Sales · Marketing · Finance · Operations · HR · Customer Service
By Industry
Healthcare · Manufacturing · Retail · Financial Services · Telecom · Supply Chain
By Function
Sales · Marketing · Finance · Operations · HR · Customer Service
Platform Advantage
Why Allmates.ai
Multi-LLM, multimodal.
You’re not betting on one model getting better forever. Allmates can switch across Claude, GPT, Gemini, and others — picking the right one for each task, whether that’s text, voice, image, or structured data.
AI teams, not lone agents.
A real workflow needs more than one agent. MATES collaborate — pulling data, drafting, reviewing, escalating to humans when needed. The kind of work that’s too tedious for one person and too coordinated for one tool.
No-code. 400+ pre-built MATES.
You design AI Coworkers the same way you’d brief a new hire — define their role, their skills, what they’re responsible for. No code, no prompt engineering wizardry. Just operational thinking.
Integrated into real systems.
The MATES connect directly to your ERP, CRM, finance, HR, and accounting systems. They read your real data and write back to your real systems. No spreadsheet uploads. No copy-paste workflows.
how we deploy
From discovery to deployment to scale
Discover the friction. Architect the system. Deploy it into your environment. Operate it as it scales.
A four-phase engagement designed to take a business from “we should look into AI” to a live deployment running on real data — typically within twelve weeks.
Flagship Engagement
The Lighthouse Approach
Discover the friction. Architect the system. Deploy it into your environment. Operate it as it scales.
A four-phase engagement designed to take a business from “we should look into AI” to a live deployment running on real data — typically within twelve weeks.