WHAT CLIENTS SAY
Feedback From Organisations We've Worked With
We let the experience speak for itself. Below you'll find reviews from organisations across Penang, the Klang Valley, and Johor — in their own words.
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CLIENTS SUPPORTED
4.7/5
AVERAGE RATING
93%
WOULD RECOMMEND US
31%
REPEAT ENGAGEMENTS
REVIEWS
Client Reviews
"We brought Teras Intel in to look at our facilities monitoring setup across two commercial buildings in Bayan Lepas. The workflow assessment phase alone gave us useful insights about where our current processes were losing time. The AI predictive maintenance system they implemented has changed how our operations team prioritises its daily work."
Zulkifli Haron
OPERATIONS DIRECTOR · PENANG
February 2026
"Our legal team reviews a significant volume of contracts each quarter. Teras Intel redesigned the review workflow and introduced AI clause extraction that has shortened our initial review stage considerably. The training for our paralegals was done carefully — they explained the tool's limitations alongside its strengths, which I thought was the right approach."
Tan Mei Ling
GENERAL COUNSEL · KUALA LUMPUR
March 2026
"We needed a proper data labelling strategy before scaling our annotation programme. Teras Intel's consulting helped us select a tool we'd been unsure about, define our labelling guidelines clearly, and set up a QA process that our team can manage independently. The documentation they produced is thorough and our team still refers to it regularly."
Vikram Nair
HEAD OF AI RESEARCH · JOHOR BAHRU
January 2026
"The team at Teras Intel spent time with our building management staff before recommending any tool. That made a difference — the solution they designed actually matched how our team works rather than requiring our team to adapt to a new system entirely. Delivery was on time and within the quoted scope."
Nor Rashidah Abdul
PROPERTY MANAGER · SHAH ALAM
February 2026
"We were initially uncertain whether AI contract review tools were mature enough for our use case. Teras Intel walked us through a structured evaluation, ran accuracy tests on a sample from our own document library, and presented the results clearly. That transparency gave us the confidence to proceed. The implementation went smoothly."
Aizad Mustafa
LEGAL OPERATIONS MANAGER · PETALING JAYA
March 2026
"We had tried to set up a data labelling programme internally and struggled with consistency. Teras Intel's guidelines and QA workflow have resolved that problem. Our annotation accuracy improved, and the process is now something our team manages without external help. Worth the investment."
Lim Kar Wei
DATA SCIENCE LEAD · PENANG
January 2026
IN MORE DEPTH
Selected Case Studies
The Challenge
A commercial property group managing four office buildings in Penang was facing unpredictable maintenance costs. Equipment failures were being addressed reactively, leading to disruptions for tenants and unplanned expenditure. Energy consumption across the portfolio was also difficult to monitor consistently.
Our Approach
We assessed the existing sensor infrastructure across all four buildings and identified where integration was feasible without replacement. We then developed a predictive maintenance model trained on historical fault data and implemented a unified dashboard for energy and space monitoring. Facility staff received a half-day training session before handover.
The Outcome
Reactive maintenance calls reduced by approximately 38% in the three months following implementation. The operations team reported that the predictive alerts gave them meaningful lead time to address equipment issues. Energy monitoring visibility across the portfolio was described as a significant improvement on the previous reporting approach.
DURATION: 6 WEEKS
"The dashboard has become part of our morning routine. Our team checks it before anything else." — Operations Director
The Challenge
A mid-size company's legal department was handling a growing volume of vendor and commercial agreements. Initial contract review was consuming a disproportionate share of paralegal capacity, creating bottlenecks before agreements could reach the senior legal team for substantive review.
Our Approach
We evaluated four AI tools against a sample of the company's actual contract library before making a recommendation. Following tool selection, we redesigned the initial review workflow and implemented clause extraction configured to the company's standard clause inventory. Accuracy was validated against a test set before the tool went into regular use.
The Outcome
Initial contract screening time reduced by roughly 55% for standard commercial agreements. The paralegal team reported confidence in using the tool independently after the training programme. The general counsel noted that the senior legal team was spending more time on substantive issues rather than routine clause identification.
DURATION: 8 WEEKS
"The accuracy validation process gave us confidence we wouldn't have had otherwise." — General Counsel
The Challenge
A technology company developing a computer vision model internally had accumulated a large volume of unlabelled training data. Annotation was inconsistent across team members, and the quality assurance process was informal. Model training was being delayed by labelling quality issues.
Our Approach
We assessed the annotation task requirements and evaluated three labelling platforms against the team's workflow. Following tool selection, we created detailed annotation guidelines for each object category and designed a QA workflow with inter-annotator agreement metrics. We then trained the full annotation team over two sessions.
The Outcome
Inter-annotator agreement improved substantially within four weeks of the training programme. The QA workflow allowed the team to identify and resolve inconsistencies without external input. Model training resumed on schedule, and the team reported significantly higher confidence in the quality of their training data.
DURATION: 5 WEEKS
"We can now manage the labelling process ourselves. That independence was the most valuable outcome." — Head of AI Research
OUR CREDENTIALS
Professional Standing
MDEC Digital Transformation Partner
LISTED 2023
Penang Business Chamber Member
SINCE 2020
ISO/IEC 27001 Aligned Practice
INFO SECURITY
7 Years · 85+ Clients Served
SINCE 2019
CONTACT DETAILS
We're Based in George Town
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