Workflow economics first
Economic lensWe start where time, coordination, or margin is leaking.
About
About Silink AI Lab
We build private AI systems for Singapore teams whose workflows are too specific for generic SaaS and too important to outsource blindly.
flag2018Founded
code2023Product Build
model_training2025AI Systems
rocket_launch2026Agent Live
Silink started in 2018 building Helpering — a matching platform for Singapore’s domestic service industry, managing thousands of candidate profiles across multiple channels. Running that platform taught us where the real bottlenecks lived: not in the technology, but in the coordination between people, rules, and timing.
In 2023, we started building AI copilots to solve those bottlenecks — embedded inside existing workflows, not as standalone tools. By 2026, we opened Silink AI Lab to bring the same approach to other operationally dense industries. We operate as a lab because AI deployment for SMEs is still an unsolved problem — not a commodity.
schoolNTU EngineeringschoolNUS Statistics
Ryan — Founder
Veteran entrepreneur (F&B, SaaS) → Silink Pte Ltd → Silink AI Lab. Built the operating platform before building the intelligence layer.
Where we sit in the market
Most SMEs are too complex for generic AI tools and too small for heavyweight enterprise vendors. Our place is in that middle ground: custom deployment for operationally dense teams that still need pragmatic speed.
We are not a prompt-wrapper agency and not an enterprise systems integrator. We sit in the gap where workflow complexity is real, deal size is still SME-scale, and deployment quality matters more than presentation.
How We Work
We reduce risk by starting narrow, deploying inside the real workflow, and iterating until the system earns everyday trust from operators.
01
Map
We map the workflow you want to improve and the constraints around it.
02
Design
We design the agent and set up a private environment around that use case.
03
Connect
We connect to your existing tools, including CRM, Slack, and WhatsApp.
04
Tune
We keep tuning the system based on real usage, edge cases, and team feedback.
shield
Privacy First Architecture
Proprietary data stays within your perimeter. No external training leaks.
model_training
Custom Fine-Tuning
Agents that speak your brand's voice and understand your unique SOPs.
encrypted
Zero-Knowledge Architecture
We cannot see your data. Your keys, your intelligence.
shield_lock
Local Compliance
Built with PDPA and regional SE Asia data protection standards at the core.
Why we operate as a lab
SME AI is still a field problem. The right answer shows up in rollout, tuning, and edge cases, not slides.
Trust over theatre
Trust over theatreTraceability and controlled rollout matter more than flashy demos.
Close to deployment
Field-testedThe useful answers show up during rollout, not in strategy decks.
Ready to explore a partnership?
We are selectively exploring new vertical partnerships where process depth matters.
Start a ConversationQuestions teams usually ask about us
These are the practical questions that usually come up once teams understand where we sit, how we work, and whether the fit is real.
What does a Singapore AI lab do for SMEs?
A strong Singapore AI lab should identify repetitive operational bottlenecks, design secure automation workflows, and deploy AI agents that improve response speed, scheduling, compliance, and knowledge retrieval without exposing proprietary data.
Which industries can benefit from a Singapore AI agent developer?
We are especially effective in operationally dense sectors such as domestic services, real estate, insurance, beauty, healthcare, and marine services, where scheduling, matching, compliance, and customer communication create high-value automation opportunities.
Do you work only with Singapore companies?
Singapore is our strategic base, but our operating model also supports Southeast Asia teams that need private AI infrastructure, multi-market operational logic, and deployment discipline suited to regional SME realities.