i
Measure first.
We refuse to build an agent without an evaluation rubric. If we can't tell when it works, we can't ship it.
Where Agentic AI is Engineered.
Agentic AI engineering from a boutique R&D laboratory in Kuala Lumpur, Malaysia — custom AI agents designed for production with the patience of a workshop and the rigour of a foundry.
Lab №01 Custom Fine-Tuning · Token-Efficient Architecture · Tera Grid Deployment agenticlab.com.my
What is Agentic Lab?
Agentic Lab is a boutique agentic AI engineering (R&D) laboratory based in Kuala Lumpur, Malaysia that builds production-grade custom AI agents through custom model fine-tuning, token-efficient architecture, and deployment to Tera Grid — the production fabric operated by Ai Teragrid. Engagements run 7–13 weeks from consultation to launch. Operated by AITG Sdn Bhd (Reg. 202601016521).
Built with
- Llama
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- Qwen
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- Mistral
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- Gemma
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- vLLM
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- TGI
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- Triton
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- LoRA
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- QLoRA
7–13wkMedian engagement
99.9%Production SLO
≤1.5kTokens / call median
APAC∞Primary region
Four steps. No shortcuts.
Each engagement moves through the same disciplined arc — from the first conversation to the moment your agentic AI answers its first production request.
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01
Consultation
We meet your team, study the workflow, and define what good looks like in measurable terms. No agent is built before the success criteria are written.
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02
Architecture
We choose the base model, design the tool surface, and draft a token-efficient architecture. Where useful, we curate a fine-tuning corpus from your proprietary data.
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03
Sandbox
The agent is assembled inside a private Lab Environment. We run adversarial evaluations against real cases until the rubric from Step 01 is satisfied.
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04
Tera Grid Deployment
The finished agent ships to Tera Grid — Ai Teragrid's production fabric — with autoscaling inference, observability, and per-request cost telemetry from the very first call.
Three rules. The rest follows.
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Tokens are money.
Every prompt is a budget. We design with retrieval, distillation and caching so production economics survive scale.
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Ship to the grid.
A demo is not a deployment. We hand off agents that scale, observe themselves, and report their own cost-per-request.
A Lab Environment for proprietary agents.
Every agent we build is staged inside a closed sandbox — a private rehearsal room where prompts, tools, and weights can be perturbed without consequence to your production systems.
Input Stream
queue: 12 / 1024
Evaluation
suite: adversarial-1024
lab> eval --suite adversarial --runs 1024
▸ accuracy ........ 0.927
▸ p95 latency ..... 412 ms
▸ tokens / call ... 1,148
▸ cost / 1k calls . US$ 0.41
status: PASS · promote → tera-grid- Isolated. A dedicated tenant; your data never leaves it.
- Reproducible. Every eval run is hashed and replayable.
- Adversarial. Red-team prompts ship with the suite.
- Observable. Token, latency, and cost telemetry on day one.
Agentic AI engineering. Token-efficient by design.
Agentic AI engineering is the discipline behind every engagement — custom AI agents that plan, call tools, and act, built by an AI agent development team in Malaysia and held to production standards.
A
Custom model fine-tuning
We curate task-specific corpora from your proprietary data and fine-tune compact open-weights models — LoRA, QLoRA, or full-rank where the gradient justifies it — until the agent speaks your domain natively.
- Methods
- SFT · DPO · LoRA · QLoRA
- Bases
- Llama · Qwen · Mistral · Gemma
- Eval
- Held-out + adversarial suites
B
Token-efficient architecture
Long context is a luxury, not a strategy. We design retrieval over context-stuffing, distil large teachers into small students, and cache aggressively — so that an agent which costs a dollar in the demo costs a cent in production.
- Patterns
- RAG · Tool-use · Routing · Caching
- Targets
- ≤ 1.5k tokens / call median
- Telemetry
- Per-request token & cost trace
C
Tera Grid deployment
Finished agents ship to Tera Grid — the production fabric operated by Ai Teragrid. Autoscaling inference, observability, and SLOs come standard. Your team gets a dashboard; we get the pager.
- Runtime
- vLLM · TGI · Triton
- Region
- APAC primary · global edge
- SLO
- 99.9% availability
Request a Lab Consultation.
Tell us where the agent should live in your workflow. A lab lead replies within one business day — never an autoresponder.
Frequently asked.
What is agentic AI?
Agentic AI describes AI systems that plan, make decisions, and act autonomously — calling tools, querying data, and completing multi-step tasks rather than only replying in chat. Agentic AI engineering is the discipline of building such agents to production standard, which is what Agentic Lab does from Kuala Lumpur, Malaysia.
Agentic AI vs chatbots — what is the difference?
A chatbot answers questions in a conversation window. An agentic AI system plans multi-step work, calls tools and APIs, verifies its own results, and acts inside your workflow. Agentic Lab engineers the second kind: custom AI agents that are measured, token-efficient, and deployed to production on Tera Grid.
What is Agentic Lab?
A boutique agentic AI engineering (R&D) laboratory operated by AITG Sdn Bhd that builds production-grade custom AI agents through custom fine-tuning, token-efficient architecture, and Tera Grid deployment.
Where is the lab based?
Headquartered in Kuala Lumpur, Malaysia. Engagements run remotely with on-site sessions across Southeast Asia and worldwide.
What does "token-efficient architecture" mean?
An agent design discipline that minimises the tokens consumed per task — compact prompts, retrieval over context-stuffing, distilled smaller models, aggressive caching — so production agents stay fast and economical at scale.
What is Tera Grid?
Tera Grid is the production fabric operated by Ai Teragrid where finished agents are deployed. It provides autoscaling inference, observability, and per-request cost telemetry.
How long does an engagement take?
From Consultation to Tera Grid Deployment, typical engagements run 7–13 weeks depending on data readiness and evaluation rigor.
How much does custom AI agent development cost in Malaysia?
Custom AI agent development in Malaysia is scoped per project. Agentic Lab quotes after a Lab Consultation, based on data readiness, fine-tuning depth, evaluation rigour, and deployment scale. Typical engagements run 7–13 weeks and target enterprise budgets — request a consultation for a project-specific quote.
Do you sign NDAs and DPAs?
Yes. We sign mutual NDAs before the first deep-dive and execute a Data Processing Agreement before any client data enters the sandbox.