01 / Custom software
Software built for
how you work.
Replace spreadsheet workarounds with an application built around your team. Agree on one useful workflow, then build and test it.
Tell us what you needStart with the work slowing your team down. Build a useful first solution.
Understand it. Build it. Test it. Support it after launch.
We engineer private AI systems, verifiable document intelligence, and production-ready backends for regulated teams and software studios—with full source handover and zero cloud lock-in.
Explore the servicesToo much time searching files, repeating tasks or working around software? We build tools to help, starting with one workflow and a measurable result.
Useful software. Clear data boundaries.
A first milestone you can evaluate.
Continue down
Models and RAG pipelines that run inside your VPC or on-premise hardware—not behind third-party API wrappers.
You get the container, the weights, the acceptance tests, and the keys. We build systems your internal team can actually own.
Start with a 1-to-2 week paid architecture sprint or single feature before committing to a full build.
We speak with the people doing the work, check the pain point and agree on a useful outcome before choosing the technology.
Bring us yoursTechnical Domains
Explore three independent projects by VyapAI’s founder. Each connects AI models to working software; commercial outcomes still need validation with users.
Writ searches legal documents using models running locally on a laptop. Confidential records stay on the device.
The focus: usable document retrieval within local hardware limits.
For your team, we would validate the questions, sources and review process first.
Explore Writ →CASCADE combines graph neural networks and molecular property prediction in a 3D workspace.
Researchers can inspect molecules and explore predictions in one application.
For your workflow, we would agree on evaluation criteria with domain specialists first.
Explore CASCADE →Project Neev generates CAD layouts and cost estimates from floorplan images or room scans.
It connects image inputs, generation and practical outputs in one workflow.
For your team, we would validate accuracy requirements and professional review steps first.
Explore Project Neev →Requirements, testing, security and support, planned from the start. A defined first milestone, followed by a release your team can operate.
We interview intended users, review the current process and identify where effort is lost. Together, we define requirements and a useful first outcome.
Agree on scope, price, timeline and acceptance criteria in writing, including security and deployment responsibilities. Start with a small paid milestone.
Review working software as it develops. We test user journeys, AI outputs, failures and access controls, then prepare release and recovery steps.
Receive source code, setup instructions and a walkthrough. Before launch, agree on monitoring, incident and update responsibilities, plus support coverage, response times and costs.
Work directly with Prawin Kumar, the engineer scoping and building your system. Private AI and application engineering together, with small milestones, inspectable work and agreed source ownership.
Explore sample setup, acceptance and support documents. Your delivery package follows the scope, ownership and support terms agreed for your project.
Sample templates.
Prepared around an agreed scope.
# Project handover Illustrative delivery package Source code and a map of the main components. Setup and configuration instructions. Acceptance checks for the agreed milestone. Known limitations and next steps. Actual contents and ownership terms are agreed for your project.
Yes. Start with one integration, feature or document workflow. We agree on the price, scope and acceptance checks before work begins.
Send a short brief and useful links. We review the requirements and existing system, then provide a written scope and price before you commit.
Yes. We review the application, needed changes and dependencies, then agree on access and deployment responsibilities.
We agree on storage, processing, external services and access before building. Local deployment is an option where suitable. Use anonymized examples for the first conversation.
Source handover and ownership are written into the agreement. Third-party licences still apply. Hosting and ongoing maintenance are scoped separately.
Monitoring, bug fixes, security updates, dependency maintenance and backups can be included in a support agreement. Coverage, response times, responsibilities and pricing are agreed before launch.
Describe the problem, who faces it and what success looks like. No technical specification needed. Review and edit your brief before sharing it.
Your brief will appear here. You can edit it before sharing it with VyapAI.