VectorNimbus Consulting
Checklist-led scoping for teams shipping machine learning into production apps — APIs, data contracts, and integration code you can maintain.
Supplier & offer disclosure (Malaysia)
Core supplier details (English): VectorNimbus Consulting · SSM 202003184729 · 38,Jalan PJU 5/20, 47810 Petaling Jaya · +60-3-0000-2105 · info@vectornimbus.digital.
- Service
- Programming consulting focused on machine learning application integration — model serving hooks, batch inference pipelines, and application-layer glue code.
- Starting fees (indicative)
- Technical advisory sessions from RM 450 per hour (minimum one hour, quoted in writing before work begins). Scoped integration projects from RM 8,500 per engagement phase, depending on repositories touched and acceptance tests required.
- Payment
- Bank transfer in MYR; milestone invoices for project phases. SST applies only where we are registered to charge it — confirm on your quote.
- Supply / delivery
- Remote pair-programming and written deliverables (merge requests, runbooks, interface specs). Timelines agreed per statement of work, typically two to eight weeks per phase.
- Terms
- Terms of service, refund policy, and PDPA notice apply.
Scoped project engagements
Fixed-scope integration work: connect your app to an existing model endpoint, harden retries, and document the contract your mobile or web client must honor.
Advisory sessions
Hourly working sessions to review architecture sketches, dependency choices, and test plans before you commit engineering weeks.
Integration readiness checklist
Before we write integration code together, confirm these items — gaps become the first tasks in your statement of work.
- Model artifact version pinned and reproducible from CI
- Input schema documented with sample payloads your app already emits
- Latency budget per user action written down (p95 target)
- Fallback behavior when inference times out or returns low confidence
- Logging that ties request IDs to model version without leaking PII
We integrate models where your users already work — inside checkout flows, ticketing queues, and internal dashboards — not as a disconnected notebook demo.
How a scoped integration engagement runs
- 01 · Discover
Repository walk-through, existing API map, and identification of the narrowest vertical slice that proves value.
- 02 · Design
Interface contract, error taxonomy, and deployment diagram agreed in writing before implementation hours start.
- 03 · Build & verify
Pair-programmed integration code, automated checks against recorded fixtures, and handover notes for your on-call rotation.
Who benefits from this consulting
Product teams in Malaysia and across ASEAN who already trained or purchased a model and now need dependable application wiring — authentication, batching, feature stores, and release gates.
We are not a generic agency reskinning templates; sessions stay in your repositories, with merge requests you own outright.
Checklist-led FAQ
Do you train models from scratch?
Our work centers on integration programming — serving, orchestration, and app changes. If retraining is required, we document the hand-off to your data science team or a specialist partner.
Which stacks do you touch?
Common pairings include Python services with REST or gRPC, Node or Go gateways, and containerized workers. We align with what you already operate in production.
How are sessions scheduled?
After you submit the inquiry form, we reply by email with available slots in Malaysia time (UTC+8) and a short agenda tied to your checklist answers.