Strategy, software, cloud, data and AI, planned, built and run by a small senior team working with AI agents. Fewer people on the project, and a smaller bill.
Scope and price are agreed before any work starts. We reply within one business day.
Start with a fixed-scope engagement that answers one question. When the answer is go, the same team designs, builds and operates the system, with the plan as its brief.
Short, fixed-scope engagements with a deliverable you can act on.
Where to invest, what to build, buy or retire, and in what order. A plan your board can read and your engineers can execute.
Which of your workflows AI can actually take over, what it would save and what it would take. Honest, including where AI is the wrong tool.
An independent read of a system, a vendor or an acquisition target: code, infrastructure, security, team and cost.
Map how work really gets done, remove the manual steps and specify the systems that replace them. Delivered with the change plan, not just the diagram.
Design, engineering and operations for the systems the plan calls for.
Customer portals, internal tools, dashboards and SaaS products, built for Indonesian and Southeast Asian users, languages and payment methods.
iOS and Android apps for markets where most customers are mobile-first.
Product design grounded in user research and tested with real users before the first line of code.
Agents that read, decide and act across your tools, with a human in the loop where it matters.
Pipelines, warehouses, BI dashboards and forecasts your teams actually use.
Migration, infrastructure as code, security hardening and ongoing operations after launch, by the team that built the system.
Senior engineers join your team on contract, follow your process and report to your managers.
Agents read the documents, map the systems, write the first drafts and the boilerplate, and run the tests, in parallel. That is where the weeks and the cost go away. Judgment, architecture and sign-off stay with people.
A short call to pin down the question, the systems involved and the deadline. Scope and price in writing the same week.
We sit with your team. Agents digest your documents, data and code while we map the workflow and who decides what.
Advisory work: a report where every recommendation links to its evidence. Builds: a prototype on real data in days, then production with tests, guardrails and a security review.
The same engineers monitor, tune and extend the system, and train your team to own it.
Decided to build? The same team that wrote the plan designs and ships the system, with the plan as its brief. See build services
Large consultancies staff a project with a pyramid of analysts across several offices. We replace that labour with AI agents and keep the senior judgment. Fewer people on the project means a smaller invoice.
| Criteria | Traditional consulting firm | Octerion |
|---|---|---|
| Who does the work | A pyramid of junior analysts, reviewed up the chain | A small senior team, with AI agents doing the legwork |
| Time to a first answer | Often months | Weeks, with a prototype on real data in days |
| Pricing | Billed by time and team size | Scope and price agreed before we start |
| Cost | Big-firm fees | Lower. Agents replace the headcount that drives the fee |
| What you get | A deck and a handover | Working software, and the team that built it stays to run it |
| Who signs off | Engagement partner | The senior engineer who did the work |
AI makes delivery fast. These rules make it trustworthy.
Agents draft. People decide. Every recommendation, design and pull request is reviewed and signed off by a named senior engineer.
Advisory findings link to the document, dataset or interview they came from. Builds ship with test sets and a measured baseline.
We scope what models can access, redact sensitive fields and never use client data to train models. NDA before scoping.
Model-agnostic: US and Chinese labs or self-hosted open-weight models, on public cloud, private cloud or on-premise, chosen per use case.
No. It is cheaper because fewer people are on it. Agents handle the reading, drafting, boilerplate and testing. Senior engineers do the parts that need judgment. You pay for the second, not the first.
For technology work, yes: strategy, software, cloud, data and AI, from the first assessment to running the system. If a request is outside our depth, we say so and point you elsewhere.
No. Many useful systems start with documents and processes you already have. We assess your data in the first days and tell you honestly if AI is the wrong tool.
We scope what models can access, redact sensitive fields, and can deploy on private cloud or self-hosted models. Data handling terms are agreed in the contract before we touch any data.
We ground answers in your own sources and cite them, test against evaluation sets before launch, and keep a human in the loop for high-risk actions.
We are model-agnostic. US labs (OpenAI, Anthropic, Google, Meta) and Chinese labs (Alibaba Qwen, DeepSeek, Moonshot, Zhipu), plus self-hosted open-weight models, are chosen per use case for quality, cost, language support and privacy, and can be swapped later.
An advisory engagement takes one to six weeks depending on scope. A prototype takes days to a couple of weeks. Most production MVPs take 8–12 weeks depending on integrations. We give a detailed timeline after the first week.
Yes. Senior engineers join on contract, follow your process and report to your managers. Pick team augmentation in the form and tell us the stack.
Operations, finance and IT leaders at mid-size and large businesses modernising how work gets done.
Founders and product leaders who need senior engineering without a senior payroll.
Most of our client work is under NDA. These are the ones we can describe. Client names are withheld.
An AI-assisted learning platform that helps Indonesian students prepare for the university entrance exam, built for Bahasa Indonesia from the start.
A complete HR information system where AI speeds up everyday HR work, so HR teams spend less time on manual processing.
Automatic content filtering and security enforcement for a public menfess (autobase) account at one of Indonesia's top universities.
We'll scope it in a short call and come back with a clear timeline and price.