SQE
BRAIN
Enterprise AI · Built in Production

Enterprise AI architect for the world's most demanding industries.

SQE turns an enterprise's hardest problem into intelligence that runs in production and runs your business.

Applications

AI systems that
actually ship.

Most enterprise AI dies in pilots. We find the right use case, build the system, and own the outcome, live in production.

Speak with us →
Berau Coal Star Capital Sun Energy
The SQE Suite

Intelligence that runs
your operations.

Polaris, Cosmos, CognifAI and more: production AI on the dashboards your teams already use, from mining sites to trading floors.

Explore the suite →
At scale: Real metrics. Real industries. Real impact.
USD 80M+ of enterprise value protected and created by AI that runs in production, not slides.
USD 80M+ of enterprise value protected and created by AI that runs in production, not slides.
0+
AI products and platforms deployed in production
0
Industries served: Mining, Oil & Gas, Agriculture, Financial Services, Insurance, Cross-Industry
0
Strategic partners: NVIDIA, Apple, Anthropic, XtalPi, New Metrics

Across 20+ mining projects: an estimated IDR 118B in safety savings, with zero fatalities. A single major safety incident can cost USD 1.5M+. Our systems typically pay back in months, not years.

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Enterprise AI · Built in Production

Enterprise AI architect for the world's most demanding industries.

SQE turns an enterprise's hardest problem into intelligence that runs in production and runs your business.

Applications

AI systems that
actually ship.

Most enterprise AI dies in pilots. We find the right use case, build the system, and own the outcome, live in production.

Speak with us →
Berau Coal Star Capital Sun Energy
At scale: Real metrics. Real industries. Real impact.
USD 80M+ of enterprise value protected and created by AI that runs in production, not slides.
0+
AI products and platforms deployed in production
0
Industries served: Mining, Oil & Gas, Agriculture, Financial Services, Insurance, Cross-Industry
0
Strategic partners: NVIDIA, Apple, Anthropic, XtalPi, New Metrics
Trusted by leaders in Indonesian industry
Asuransi Simas JiwaBank SinarmasBerau CoalBorneo IndobaraDanamasMutiara Tanjung LestariDanaNanovestSinar Mas MultiarthaSinar Mas SekuritasSinarmas MultifinanceSQE x Apple Developer InstituteStar Asset ManagementStar CapitalStarinvestamaSUN EnergySun MobilitySunterraAsuransi Simas JiwaBank SinarmasBerau CoalBorneo IndobaraDanamasMutiara Tanjung LestariDanaNanovestSinar Mas MultiarthaSinar Mas SekuritasSinarmas MultifinanceSQE x Apple Developer InstituteStar Asset ManagementStar CapitalStarinvestamaSUN EnergySun MobilitySunterra
Who we are

We turn one enterprise's hardest problem into AI that runs in production, then productize it.

SQE embeds with operators, starting in mining, to build AI that runs in production and runs the business.

Every system we ship becomes a repeatable product, so the next enterprise inherits proven intelligence instead of starting from zero.

01
Assess
Find the hardest problem worth solving, and the value at stake.
02
Architect
Design the system around your operations, data and constraints.
03
Build
Ship production AI, integrated with the tools your teams already use.
04
Run
Own the outcome: monitor, improve and scale by results.
Our offering

Two ways to put enterprise AI to work.

01Services

Enterprise AI, delivered end-to-end.

Tangible, senior-led programs (from strategy through to systems we run) for the problems no product covers yet.

Strategy & Advisory
Digital Transformation
Software Engineering
AI & Data
Senior-led · outcome-based
Speak with us
02Products

The SQE Suite. Deploy in 30 days.

Productized AI you can switch on for a single use case, on a single site, then scale by results.

Polaris Strategic Intelligence
Cosmos Visual Intelligence
CognifAI Human Capability
Aegis Risk Intelligence
Deploy in 30 days · try in 15 min
Explore the suite
Impact simulator

Estimate the value of going to production.

Pick how you want to engage, set your scale, and we’ll estimate the annual value, payback and time to first deployment.

Step 1 · Engagement model
Step 2 · Your scale
Sites4
AI use cases / site2

Illustrative estimate based on observed deployments. Your actual impact depends on operating context.

Est. annual value protected
USD 7.2M
Typical payback
4 months
First deployment
60 days
Book a call →
The SQE suite

Six intelligences. One enterprise vision.

One shared platform, one design language, six specialized products, each carrying the blue-to-purple SQE suite mark.

SQE The Suite
Hover to pause · click a product to explore
COGNIFAI LIVE
Strategic Intelligence 01 / 06

Live enterprise data, board-ready answers.

COGNIFAI runs AIQ assessment and AI Academy cohort programs, turning capability gaps into a measurable development path.

See how Polaris works
polaris.sqe.co.id
POLARIS product view
POLARIS LIVE
Strategic Intelligence

Live enterprise data, board-ready answers.

Polaris turns Tableau + Claude into an executive copilot: ask in plain language, get decisions in minutes, not days.

See how Polaris works
polaris.sqe.co.id LIVE
Polaris production dashboard
POLARIS
POLARISLIVE
Strategic Intelligence

Executive AI copilot for board-ready decisions.

Read more
BRAIN
BRAINLIVE
Enterprise Intelligence

M&A pipeline & deal management at frontier speed.

Read more
CognifAI
CognifAILIVE
Human Capability Intelligence

AIQ assessment + AI Academy cohort programs.

Read more
COSMOSLIVE
Visual Intelligence

6 production use cases across mining sites.

Read more
HORIZON
HORIZONIN DESIGN
Predictive Intelligence

Weather & climate AI, aerial photography and digital elevation models for operational planning.

Read more
AEGIS
AEGISDEMO LIVE
Risk Intelligence

Claims fraud detection for insurers.

Read more
In their words

Proof, in their words.

A testimonial without a number is decoration, so we pair every voice with a result.

Our partnership with SQE has been a genuine win-win. We've seen a dramatic improvement in operational efficiency, and the safety culture across all of our operational areas has grown noticeably stronger.

Arif Widya
Arif Widya
Senior Manager MineTech, PT Berau Coal Energy Tbk.
35.9M tons produced last year (+21% YoY) across 20+ SQE digital projects.

Working with S Quantum Engine (SQE) has been a great experience for DPLK Simas Jiwa. Their team professionally delivered our rebranding, developed our first-ever official website, and created a modern, intuitive user dashboard. We are very satisfied with the quality of their work and highly recommend SQE as a trusted digital transformation partner.

Alvin Ginardi
Alvin Ginardi
Anggota Pengurus DPLK Simas Jiwa

"Very in-depth analysis of user behavior that helped us have a better understanding of who and how to tap the best potential customer."

YS
Yusuf Sutarko
Ex-Chief of Digital Transformation, ASJ

"Excellent team, experience, expertise & understanding who are also very proactive."

BT
Bernard Thien
CEO, Sinarmas Sekuritas Indonesia

"The application is genuinely easy, simple, fast and accurate. We're delighted with the results. No delays at all. A real win for our financing business."

SP
SMMF Partner
Lampung
Industries

Where intelligence has to work.

Mining-led · auto-rotating · click any industry to explore
Mining & Resources
01 / 06

Mining & Resources

Lead industry: computer vision and risk intelligence across active sites.

Proven impact

Results you can audit.

Every engagement ships with a number attached

Hover to pause · click any card to read its full case study.
See all case studies →
Partnerships

We grow by who we work with.

NVIDIASQE x Apple Developer Institute
Technology

NVIDIA's enterprise AI stack, Apple's developer ecosystem and Anthropic's frontier models: production AI on foundations the world already trusts.

Joint Ventures

Singapore-incorporated JVs with leading APAC AI partners, extending our platform into pharmaceutical, agricultural and scientific domains.

Transformation Delivery

With New Metrics on multi-year transformation programs: our AI delivery paired with their operating-model and change depth.

Ecosystem Access

With KORIKA, Indonesia's national AI collaboration body, extending AI capability across the country's industrial sectors.

Who's behind SQE

An enterprise AI architect. A mining-grade product factory. Founder-led engineering.

Building AI that survives contact with real operations is hard. We've shipped 20+ digital projects across an active coal major's mining operationslive, eliminated an estimated IDR 16.4B+ in potential safety-incident lossesvalidated, and put Cosmos and Brain into production on live mine siteslive. Our team built and scaled platforms at Gojek, Grab, Tokopedia and Midtransexited, and we're among the first Claude-certified teams in Indonesiacertified. Production excellence is non-negotiable here: for the enterprises we serve, a demo that never ships is worthless.

Why it matters for our clients

Every credential here is production experience, not a pitch deck.

You get AI that runs the business, owned end-to-end and measured by outcomes, by a team that has shipped at national scale before.

Among the first Claude-certified teams in Indonesia
Leadership
PP
Praditya Satria Putra
Chief Executive Officer
Sets SQE’s enterprise strategy. Ex-BCG and ex-Medco Power; Strategy&. MBA, ESADE. Scopes to P&L, not features.
HM
Hadibrata Mantik
SVP, Digital Business & Strategy
Builds SQE’s commercial and product engine. Ex-Grab and OVO. MBA, Vanderbilt.
EN
Ellen Nio
Head of Product, AI Transformation
Leads AI product across the suite. Ex-Tokopedia (120+ team, 3 to 4× revenue). MSc in ML/NLP.
DV
Divya Vikash
VP Engineering
Ex-Gojek. Security-first delivery: ISO 27001 & PCI-DSS.
PA
Panggi Libersa Jasri Akadol
VP Engineering
Midtrans founding member, ex-Gojek. Certified Ethical Hacker.
Ready to move from strategy to production?

Let's put AI to work.

Speak with us about your transformation, platform deployment, or product pilot.

SQE ← Back to home
PROVEN IMPACT

Proof, at production scale.

Deployments across mining, financial services, insurance, energy and beyond, measured in incidents prevented, decisions accelerated and value protected.

{{ totalCases }}+
production case studies
USD 80M+
value impact & protection
Zero
fatalities across mining sites
All case studies

Have a problem worth solving?

Bring us your hardest operational problem.
We'll show you what production AI can do with it.

SQE ← Back to home
Our team

Operators who have built at scale.

Ex-BCG, Gojek, Grab, Tokopedia and Midtrans: engineers and product leaders who have shipped platforms for tens of millions of users, now building AI that runs in production. The credentials here are production experience, not a pitch deck, which is exactly what the enterprises we serve need.

Among the first Claude-certified teams in Indonesia
Leadership
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Engineering & product
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Hover any card for details.

Want to build production AI with us?

We hire operators: engineers and product people who have shipped at scale.

SQE ← Back to home
Apple Developer Institute for DevOps

Engineers who can run software at scale.

The Apple Developer Institute for DevOps is a full-time, 8-month programme co-created by Apple and SQE. It takes career-entry engineers and prepares them for DevOps and platform engineering roles through Apple's Challenge Based Learning framework.

Learners do not study tools in isolation. They build, break and operate real systems on AWS, guided by mentors who have run infrastructure at scale. The programme ends with a Capstone inside a real company.

SQE x Apple Developer Institute
Delivered by SQE, a Sinarmas subsidiary, in partnership with Apple, at BSD Green Office Park, Greater Jakarta.
30
learners per cohort
8
months, full time
6
progressive challenges
300+
applicants for 30 seats
Why it exists

Turning code into a production service is a different craft.

Across Sinarmas group companies, from banking to mining, the same problem kept appearing. Engineers could write code. Turning that code into a scalable, reliable and secure service was the hard part, and nobody had a pipeline of people trained to do it.

Apple had the pedagogy: Challenge Based Learning, trained mentors and a track record of industry-ready graduates. Sinarmas had the demand and the real production environments. The Institute is the bridge between the two.

70%
of system outages are caused by how code is deployed and operated, not by the code itself.
50+
Sinarmas companies competing for the same scarce DevOps talent on the open market. The Institute builds the pipeline instead.
How it works

Feel the problem first. Then learn to solve it.

The Institute is not a bootcamp. Each of the six challenges simulates a stage in a startup's life, from a manual deploy on AWS to Kubernetes at scale. Learners feel the pain of manual work before they automate it. Every challenge creates the pain that the next one solves.

Mentors guide rather than instruct. We teach concepts over tools, set our own standards, and train learners to learn just-in-time. Every challenge ends with a live demo and questions from mentors. Work a learner cannot explain in their own words is not finished.

The cohort of the Apple Developer Institute for DevOps at the Institute
The cohort at the Institute.
01
Engage
A Big Idea becomes an Essential Question, then a Challenge statement. Bounded enough to focus, open enough to stay a challenge and not an assignment.
02
Investigate
Guiding questions, structured research, then autonomous research. Learners map what they know and what they do not, and go and find out.
03
Act
Build the solution, document it, run it and present it as a story: setup, discovery, response, transformation, landing.
The Capstone

Two months inside a real company.

Each learner, or small team of learners, is placed with a host company for about two months to solve a genuine engineering problem inside that company. It is the point where everything built across the challenges is applied to work that matters to someone other than the Institute.

What a host company gets
A well-scoped technical deliverable, at no cost.
A supervised, low-risk view of prospective talent over two months. Considerably more informative than an interview.
An outside perspective on its own delivery and infrastructure practices.
Key facts
DurationAbout two months, in the final stage of each cohort
HoursMonday to Friday, 09:00 to 17:00 WIB
LocationOn-site, hybrid or remote, agreed with the host. One Institute day a week in BSD.
Cost to hostNone. No fee to the learner or to SQE.
SupervisionOne Institute Mentor as the host's single point of contact. Weekly reports, a mid-point review.
Host commitmentA named PIC for two to three hours a month. The Mentor carries the rest.
Obligation to hireNone, on either side.
Propose a Capstone project →
The cohort of the Apple Developer Institute for DevOps
Cohort day at the Institute in BSD.

Build a DevOps talent pipeline with us.

Host a Capstone team, hire from the cohort or bring the model to your organisation.

SQE ← DevOps Institute
Claude at the DevOps Institute

Claude amplifies Learning at the DevOps Institute

Every learner at the Apple Developer Institute for DevOps works with Claude: Claude Code in the terminal, Claude on the web for the big picture, and the Claude API on Amazon Bedrock inside the systems they ship.

It works the way Challenge Based Learning works: learners drive their own investigation, and the mentor scaffolds and asks questions. One premium model for all 30 learners also closed the gap between learners on free tools and learners on paid ones. This page records what the cohort actually does with it, and how we keep the learning in the learner.

In use across the cohort
Claude Codedaily, by nearly every learner
Claude on the webconcepts, brainstorming
Claude API on Amazon Bedrockinside learner-built systems
Skills, subagents, MCPtaught in a mentor-led workshop
30
learners, one premium model for all
6
team-built AI integrations
16
schema-checked tools in one learner-built MCP server
5
MCP servers behind one Telegram ops bot
In practice

Four jobs Claude does for a learner.

Documentation, made answerable
Ask the docs why, not just what

Documentation rarely explains why. Learners interrogate it through Claude instead. One learner wired the full Grafana Alloy stack on EC2, with exporters for PostgreSQL, Redis and RabbitMQ, and came out understanding how the pieces talk to each other.

Debugging that explains
Root cause analysis

Learners paste errors and get root-cause reasoning. One learner worked a Permission denied (publickey) failure step by step and came out understanding the SSH key chain. Another pasted an API token mid-flow, and Claude stopped to tell them to revoke it.

Scaffolding, one-shotted
Boilerplate from a single prompt

Security checklists, provisioning scripts, runbook drafts and pre-commit hooks come out of one prompt. A peer-built skill called grill-me interrogates the learner on details until the brief is tight enough to act on.

Concepts on demand
A second brain before the mentor conversation

Learners now ask what and why before touching code, including the questions a guided activity does not cover. They draft career roadmaps, outlines and plans with Claude first, so they lead the mentor discussion instead of walking in cold.

Shipped by learners

Built by learners, running on their own stacks.

Six systems the cohort built on the Claude API via Amazon Bedrock. Each one runs end to end in the environment it was built for, and each team can explain every file in it.

Code quality
AI code review and self-healing pull requests

A bot on Claude Haiku reviews every push and comments on the pull request. Findings are advisory and do not block merge. A second team went further: when a test fails, the agent fixes it, commits and pushes back to the same PR. Four scripts and one deployed agent.

Observability
Alerting bots with root-cause analysis

When an application goes down, a bot fetches logs and metrics from Grafana, reasons about the cause, and posts a summary and a suggested fix to Discord or Telegram. It resolves the alert when the service recovers.

On-call
A typed, auditable on-call MCP server

Exposes the Loki, Grafana, Tempo and Mimir stack to an agent through 16 narrow, schema-checked tools: read-only senses for CPU, memory, error rate, p95 latency, alerts, logs and deploys, plus vision through dashboard screenshots. No broad shell or SSH access, on purpose.

Operations
A Telegram bot for triage, PR review and infra ops

Five MCP servers, for Grafana, AWS, SonarQube, Jenkins and Git, behind one tool registry. Claude checks incidents, reviews or fixes pull requests and reports back in chat. AWS access is enforced read-only, and an admin panel toggles tool groups per chat.

Infrastructure
terra-drift and AI plan review

On every PR the AI reads the Terraform plan and posts one comment: what changes, the risk level, a fix per issue. Nightly it compares live infrastructure to code, reports drift, and asks which side to trust. Only if you choose live does it edit the Terraform and open a pull request.

Conventions
Tertib: team conventions in plain language

Linters catch what a syntax-tree rule can express. Tertib catches the rest: naming styles, file-structure expectations and layering boundaries, written in plain-language YAML. It sends changed code to the model and fails CI when it matters.

Keeping the learning in the learner

Amplify, not bypass.

Same tool, same task. The difference is how the learner stays in the loop. One test we give them: could you defend your Ansible playbook line by line in review, without the chat history?

Amplify · four moves
SteerYou control, verify, test and question back. Draft, then review.
GroundMap the field, name your unknowns, use AI as a patient explainer.
DeepenDrill, rehearse, get quizzed, pressure-test your reasoning.
ExpandGo past what you could do alone. Stretch, explore, extend.
Bypass · four warning signs
CededThe goal or the judgment was the AI's, not yours. "AI said it's better" is not a reason.
UncheckedOutput used without verification. Unverified AI output in production is an incident waiting for a postmortem.
IllusionIt feels understood. It is not. The next day's terraform plan proves it.
Not formedTake the tool away and nothing is left. Asked to read an error aloud, the learner opens a chat window by reflex.

Bring AI-assisted engineering to your team.

SQE is among the first Claude-certified teams in Indonesia. We run this in production, with learners and with enterprises.

SQE ← All case studies
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Solve your version of this.

Every system here started as an enterprise's hardest problem. Tell us yours.

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Whistleblowing

Speak Up. Protect Integrity. A secure and confidential channel to report misconduct, unethical behavior, fraud, regulatory violations, or other concerns. We encourage employees, partners, vendors, and stakeholders to report concerns in good faith. All reports will be handled professionally, independently, and with strict confidentiality.

Our Commitment

Confidential
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Anonymous
You can choose to report without revealing your personal details.
Protection
Whistleblower protections apply to every report filed in good faith. You won't face retaliation for speaking up.
Fair and independent
Every report is reviewed and addressed with appropriate action.
Your voice helps build a culture of integrity, accountability, and trust.
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