Services
The four engagements start with a paid one-week diagnostic and end that week with a written proposal. We also still do product engineering, websites, SEO, hardening, AI routing, consulting and coaching.
Brief usHow we begin
Paid, and the same start for every engagement.
Written at the end of the diagnostic week.
Chosen from the four below, and it sets the duration.
A person approves every commit.
Main engagements
New agent systems, built with discipline.
We design narrow agents, write their safety limits, build the eval harness and ship to production. Engagements typically run 8–16 weeks, with a paid one-week diagnostic up front. They are PDPA and IMDA MGF aligned by default.
A wGrow crew embedded with your engineers.
We embed an agent crew (typically 3–5 narrow agents) and 1–2 senior engineers in your team, on a quarterly cycle with weekly releases and joint code review. We work in your codebase with our crew.
Add agents to a 10-year-old .NET system.
Most of our existing clients run on .NET, MS SQL and Windows Server. We have spent a year working out how to add agentic features to legacy stacks without replacing the foundation, and we can do the same for you.
Two weeks, with a straight answer at the end.
We review your AI or agentic system against IMDA's Model Governance Framework and PDPA. You get a written report, a remediation backlog and an honest yes or no on whether your buyer can pass procurement.
Also in the toolbox
Some of this can be its own engagement, some suits a small monthly retainer, and some only makes sense as part of something larger. We'll tell you which during the diagnostic.
A named CTO accountable for your technology and the engineers to execute, for one monthly fee with no equity. For founders who know their market but not the codebase, funded teams whose investors are asking who their CTO is, and products stalled with another vendor.
Product engineering, corporate and product websites, and SEO/GEO content from the Article Studio crew. We use the .NET, Node, Postgres, MS SQL, AWS and Azure stack we've shipped on for eighteen years, now with AI in the development loop.
This layer keeps the agentic work auditable. We do CIS-benchmark hardening for Linux and Windows, and provide a secure AI routing bridge so engineers can use agentic CLIs without your data leaving the building through a public LLM endpoint.
Built from the practice we run inside the studio: hands-on training on Claude Code, Codex CLI and Gemini CLI, OpenClaw and Hermes Agents setup, and coaching on vibe coding, eval harnesses, context and memory.
Open-weights LLMs on hardware you own: GPU procurement, a vLLM or TGI deployment stack, LoRA finetuning where it pays off, and an OpenAI-compatible internal endpoint behind your SSO and audit log. It suits PDPA-class data, steady high-volume workloads and long-context economics.
By audience
If we already run your patient management, ERP or eCommerce, we can add an agent crew to the system you have, with no rip-and-replace. Speak to your existing team lead.
Brief usWe build inside the IMDA MGF and PDPA from day one. This is the right place if your procurement process is about to ask whether a system is MGF-aligned.
Brief usWe have a working playbook for problems that run from sensors to control loops to reports a regulator will read. Our flagship engagement, WaterDoctor, follows this pattern.
Brief usEDG
We can help with the EDG application on qualifying Singapore SME engagements. Not every project qualifies, and we'll tell you honestly during the diagnostic.
Brief us
Tell us what you need. A wGrow engineer will reply within one business day.
Brief us