01 / Document intelligence
PlannedDocuRecon AI
An AI document reconciliation platform designed to take invoices from upload to validation, exception review and export.
Unfolding the next page…
Unfolding the next page…
Independent software studio
Islamabad, PK / Working globallyWe turn complex workflows into considered software. Document intelligence, AI copilots and automation, engineered from interface to infrastructure.
The project bench
Explore the applications we’re planning, and the engineering behind them.
01 / Document intelligence
PlannedAn AI document reconciliation platform designed to take invoices from upload to validation, exception review and export.
02 / Agents & knowledge systems
PlannedA support copilot designed to connect company knowledge, account context and approved actions in one traceable workflow.
Self-initiated portfolio projects. Concepts shown; implementation and measured results are still ahead.
What we build
Two core offers. One engineering standard, from the first screen to the last API.
Document intelligence & automation
Turn the documents your business runs on into structured, validated data and workflows your team can trust.
For finance, logistics & operations teams
AI agents, RAG & LLM applications
Connect your company’s knowledge to the systems it works in. Cited answers, controlled tools and a person in charge.
For SaaS, support & internal teams
Scope, timeline and pricing follow a conversation about your workflow. Tell us what you’re working on.
The people behind it
We’re two AI/ML and software engineers from FAST-NUCES Islamabad, building Branchfold around a shared belief: the details are the product.
A clear interface. A predictable API. A failure state someone thought about. We bring those pieces together into complete applications that teams can understand, operate and maintain.
Our focus is practical AI: document intelligence, knowledge systems and automation that fits into the way a business works.
From brief to build
We make the decisions visible, the progress tangible and the handover useful.
Map the workflow, the people using it and the edge cases. Agree on what success means before choosing a model.
Scope & success criteria
Prototype the interface and the hardest technical assumption. Review a real workflow together, early.
Interface & technical proof
Build the application, connect the systems, test failure paths and measure AI quality against representative examples.
Working software & evaluation
Prepare deployment, document the architecture and make the codebase understandable to the team that owns it next.
Deployment & documentation
The next branch
Bring the messy workflow, the ambitious idea or the question you haven’t quite figured out.