A
Founders scaling a startup
You need senior engineering leadership for your AI roadmap.
AI engineering studio · Singapore · Bali · Istanbul
We ship AI systems into production.
We design AI products and the architecture under them, and build them from first roadmap to release, inside your account. We also lead engineering as a fractional CTO.
Before coderoadmap, architecture, evals
First releaseevals, traces, rollback
Runs inyour own account
Answer · with its sourcesevidence attached
You
What did we decide about the vendor for the new cluster, and who approved it?
nokta
The team chose Vendor B for the new cluster on 4 Nov 2025 . The decision is recorded in Cluster vendor decision on Confluence. The cost comparison ran in #eng-platform on Slack, and the platform lead proposed it. The CTO approved it in the Q4 plan on Notion.
Sources
Cluster vendor decision2025-11-04
#eng-platform thread2025-11-03
Q4 plan2025-11-06
No evidence found for: vendor benchmark, option C
Every answer carries its sources. When the evidence is not there, it says so.
Worked with
Connects to what your team already uses
- Slack
- Notion
- Confluence
Jira
SharePoint
Google Drive
Gmail
Outlook
Zoom
GitHub
Linear
Teams
Best fit
Start where a wrong answer is expensive.
B
Engineering and R&D leaders
You need production agents and graphs with tests and traces.
C
Security and compliance owners
You need answers backed by evidence, inside your environment.
Start with your next critical launch, review or audit.
What we do
Architecture, agents, graphs and technical leadership.
01
AI product and solution architecture
Decide what to build, buy and test.
A roadmap, system design and evaluation plan your team can use.
- roadmap
- build vs buy
- system design
- eval strategy
02
Agents you can leave running
Automate a workflow your team owns.
Release tests, run traces and a rollback path included.
- evals
- traces
- rollback
- first release
03
Knowledge graphs that cite
Get answers linked to your company’s sources.
Connect documents, chat and meetings. No source, no answer.
- citations
- refusal gate
- bi-temporal
- your sources
04
Fractional CTO
AI strategy and engineering leadership as you grow.
Hiring, architecture and roadmap decisions. A few days monthly or embedded for a quarter.
- AI strategy
- days per month
- embedded quarter
- CopyCopter
We also work with air-gapped teams and ITAR requirements.
Process
Discover, build, deliver.
01 · DiscoverWeeks 1 to 2
Agree on the plan
We review your code and sources, then define the scope together.
02 · BuildSix weeks
One system, in your repo
We build and test in your account, or lead your team as fractional CTO.
03 · DeliverHandover
Documented and supported
You get the system, decision log and our support through the first weeks.
Security
Nothing leaves your environment.
Your data, models and search index stay together in your cloud or on-premise.
Your cloud or on-premise
No third-party inference in the answer path
No shared tenancy
Every answer traceable to its source
Work
All workSelected work.
Quantum computing · QuEra Computing
A private knowledge graph for QuEra
Eighteen months building and running source-backed answers inside QuEra’s own cloud.
"He is very professional, knowledgeable and great to work with."Hugh Kelly, Fractional CMO at QuEra ComputingRead the case study
Consumer iOS · Ailifestory - our own product
Ailifestory: family stories, recorded by voice
Our own native iOS app turns voice interviews into private family stories and weekly episodes.
Read the case studyConsumer AI · CopyCopter
CopyCopter: from launch to paid plans
Technical leadership for a consumer AI video product.
Story comingWriting
All articlesNotes from production.
Products
Our own products.
Built, funded and run by us.
The same team builds client systems and supports these products.