AI engineering · production systems
AI engineering trusted by the fastest growing online businesses.
Pushing the edges of frontier AI to delight your customers.
What we build, and what it has to survive.
Custom software development
For an established business that has outgrown spreadsheets and off-the-shelf tools. We find where margin leaks, then build the software specific to how you earn.
AI consulting & implementation
Working out what is worth automating, then building it into the systems you already run.
Staff augmentation
Engineering capacity that holds up in production. The IP is yours from the first commit.
AI workflow automation
Automation for the processes you cannot afford to get wrong: approval gates on anything irreversible, and an audit trail that explains itself months later.
LLM & RAG integration
AI features inside products that already have users: retrieval that respects permissions, evals in CI, and a rollback path that exists before go-live.
Notes
October 13, 2026
Staff augmentation cost: published rates and what they leave out
How vendors compare, and what moves the number.
October 13, 2026
Hire an engineer, or engage a firm?
A cost model for the decision most founders make on instinct.
October 13, 2026
Will AI replace consultants?
It already replaced one layer of the job. Which one, and what survives.
From first call to handover.
- 01
Call
What is at stake, and what solving it would take.
- 02
Scope
What gets built and when it lands, agreed in writing before the build starts.
- 03
Build
Working software lands in your repository throughout the build.
- 04
Handover
A runbook, the rollback path and the IP, assigned outright. It runs without us.
Before you book.
How is AI integrated with my business?
We start from a task your team does by hand every week. Where a rule can be stated, it becomes plain automation. Where a judgment sits in the loop, a model takes that step behind an approval gate.
It runs inside the tools you already use. AI workflow automation shows what that looks like.
Who owns the code and the IP?
You do, outright. IP assignment is signed before repository access, by everyone who touches the code, and it covers AI-assisted output. Handover includes the runbook and the rollback path.
Who sees my code?
Nobody before an NDA. Access is read-only until scope is signed, and you can revoke it at any time. The AI tools used on your code, and what each one retains, are listed on the governance page.
How quickly can you start?
Scoping begins after the first call and runs one to three weeks. The build starts on the date set in the scope.
What happens when the engagement ends?
You keep the repository, the accounts, the runbook and the IP, and the system is built to keep running after handover.
How do I make apps with AI?
A builder such as Lovable, Bolt or Cursor puts a first version on screen quickly, which suits testing an idea. Software that takes payments or holds personal data needs production engineering: permissions, an audit trail and a rollback path.
Building without a technical co-founder walks through the whole path.
How do I make money with AI apps?
The same way as any software: charge for a task someone already pays to get done. The AI apps that earn sit inside a business process, such as quoting, scheduling or reconciliation, and replace hours of manual work.
For an operating business, the first candidate is the task you already pay for. AI workflow automation covers how that is built.
Who have you built for?
Ampivo Green: an agritech app live on Google Play in twelve Indian languages. Emerald Healthcare: a medical-travel platform in development behind emeraldhealthcare. info. EMVO: work across its founder's office, from positioning to the investor deck and the investment strategy behind it.
Before Provingmark, Anupam ran payment infrastructure at $60M+ volume in MAS-regulated, SOC 2 / ISO 27001 environments and founded Munim, acquired by BikeWo in 2022. Selected work sets out each engagement.
Bring the problem that matters most.
A prototype that only works on sample data, or an agent not yet trusted in production. The first call sets out what production would take.
Founder, Provingmark
WHAT HAPPENS NEXT
01 A first call, on your system.
02 An NDA, then read-only access to the code.
03 A written scope, agreed before the build starts.