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Four headline engagements, plus the work that surrounds them.

The four below are the proposal-shaped work — paid one-week diagnostic up front, written proposal out the back. The rest of the page is what we still do alongside: product engineering, sites, SEO, hardening, routing, and the consulting and coaching practice we run from the studio.

1 paid diagnostic week
1 written proposal
1 engagement shape
1 final approval, every commit.
ENGAGEMENT SHAPES · time on x // illustrative
WK 0 paid diagnostic 01 build 8–16 wk 02 embed quarter · renewable 03 legacy incremental · ongoing 04 review 2 wk wk 1 wk 8 wk 16+
every shape begins with the same paid diagnostic week. duration after that is the engagement.
A hand-bound proposal document open on a warm bone-coloured wood desk, a black mechanical pen lying diagonally across the page, soft late-afternoon light from the upper-left.
fig. 01 · the proposal written at the end of the diagnostic week
01

Custom agentic builds

Greenfield agent systems, with the discipline.

We design narrow agents, write the safety envelopes, build the eval harness, and ship to production. Engagements typically run 8–16 weeks, with a paid one-week diagnostic up front. PDPA + IMDA MGF aligned by default.

  • Agent + crew architecture
  • Eval harness (golden / aspirational / adversarial)
  • Action-bus + audit trail by construction
  • Deployment to AWS · Azure · AliCloud · Huawei
02

Agent team-as-a-service

Embed a wGrow crew with your engineers.

We embed an agent crew (typically 3–5 narrow agents) plus 1–2 senior engineers into your team for a quarterly cadence. Weekly release. Joint code review. Your codebase, our crew.

  • Quarterly engagement, renewable
  • Weekly release, joint code review
  • Crew shape designed to your stack
  • Co-owned eval harness & playbooks
03

Legacy → agentic migration

Take a 10-year-old .NET system into the new world.

Most of our existing book runs on .NET, MS SQL, and Windows Server. We've spent a year working out how to add agentic features to legacy stacks without ripping the foundation. We can do this for you too.

  • Action-bus retrofit on existing systems
  • Incremental agent introduction (no big-bang)
  • PDPA + audit-grade preservation
  • Long-term support continuity (10+ year track record)
04

MGF & PDPA readiness review

Two weeks. Brutal. Useful.

A two-week review of your existing AI / agentic system against IMDA's Model Governance Framework and PDPA. You get a written report, a remediation backlog, and an honest yes/no on whether your buyer can pass procurement.

  • Architecture, eval, audit, and disclosure review
  • Written report + prioritized remediation plan
  • Optional follow-on remediation engagement
Also in the toolbox

The work we still do alongside the agentic engagements.

Some of this can be its own engagement; some is best as a small monthly retainer; some only makes sense bolted onto something larger. We'll tell you which during the diagnostic.

Build & ship

Product engineering, corporate and product websites, and SEO/GEO content via the Article Studio crew. The same .NET, Node, Postgres, MS SQL, AWS and Azure stack we've shipped on for eighteen years — now with AI wired into the dev loop.

  • Product engineering, AI-integrated by default
  • Corporate & product websites
  • SEO & GEO content via Article Studio
Deep dive →
Infrastructure & security

The boring layer that keeps the agentic layer auditable. CIS-benchmark hardening for Linux and Windows; the secure-AI-routing bridge that lets engineers use agentic CLIs without your data leaving the building through a public LLM endpoint.

  • Server hardening — Linux & Windows
  • Secure AI routing
Deep dive →
Consulting, training & coaching

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 the vibe-coding, eval-harness, context and memory coaching that gets a team past the demo.

  • Claude Code · Codex CLI · Gemini CLI
  • OpenClaw & Hermes Agents setup
  • Vibe coding · harness · context · memory
Deep dive →
Private LLM deployment

Open-weights LLM running on hardware you own. GPU procurement, vLLM/TGI deploy stack, LoRA finetune where it earns its keep, and an OpenAI-compatible internal endpoint behind your SSO and audit log. For PDPA-class data, steady high-volume workloads or long-context economics.

  • Hardware & deploy stack
  • Finetune & domain adaptation
  • Internal API & end-user access
Deep dive →
Two pairs of hands working over a large sheet of paper on a wood table — one hand drawing a labelled box with a fine-tipped marker, the other pointing to an existing node in the diagram.
fig. 02 · the workshop where the practice meets the team
By audience

Three doors. Pick yours.

Existing wGrow clients

If we already run your patient management, ERP, or eCommerce, we can drop an agent crew into the system you have. No rip-and-replace. Speak to your existing team-lead.

Brief us →
SG gov & regulated industries

We build inside the IMDA MGF and PDPA from day one. If you have a procurement process that's about to ask 'is this MGF-aligned,' you're in the right place.

Brief us →
Deep-tech & APAC scale-ups

If your problem looks like sensors → control loops → reports a regulator will read, we have a working playbook. The flagship engagement on this site is exactly this shape.

Brief us →
EDG

EDG grant assistance, if it fits.

For qualifying Singapore SME engagements we can assist with EDG application. Not every project qualifies; we'll tell you honestly during the diagnostic.