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What we do& how we build
Osnnova VenturesPte. Ltd.

Services

What we do

Four ways to work with us. Every scope is fixed before work starts, priced clearly, and built to run in production rather than just in a browser tab.

01

AI Product Development

From problem to live product in weeks.

Weight

Full Build

Timeline

4 – 8 weeks

We design and build production-ready AI products from the ground up. Not MVPs that need six months of cleanup before they can be shown to users. Actual products with clean architecture, real data models, and AI built into the core logic. You bring the problem and the domain. We own everything from product design through to deployment.

Use cases

  • AI-powered SaaS products for SEA markets
  • Conversational and agentic AI applications
  • Mobile and web platforms with AI at the core
  • Data pipelines, LLM integrations, and model-in-the-loop workflows
Start a conversation →
02

Prototype to Production

You built something with AI. We make it real.

Weight

Cleanup & Harden

Timeline

2 – 4 weeks

Tools like Lovable, v0, and Replit get you to a working demo fast. What they leave behind is a codebase that breaks under real users: missing auth, brittle data models, no deployment pipeline, no error handling. We take what you have built and turn it into something production-grade with clean architecture, secure authentication, structured databases, proper CI/CD, and code your team can actually maintain and iterate on.

Use cases

  • Lovable, v0, Replit, Glide, and other AI-built prototypes
  • Security hardening and vulnerability patching
  • Database restructuring and performance optimisation
  • CI/CD setup, deployment infrastructure, and environment management
Book a free 30-min review →
03

Technical Co-founder

Deep partnership. Equity-aligned.

Weight

Equity Partnership

Timeline

Long-term

For founders who need more than a contractor, we embed as a technical co-founding partner on a small number of ventures each year. We own engineering decisions, shape product architecture, help build the initial team, and stay accountable to outcomes rather than deliverables. Engagement is equity-based, not hourly. We only take this track when we genuinely believe in the business.

Use cases

  • Pre-seed and seed-stage AI startups
  • Founders with strong domain expertise and no technical lead
  • Ventures targeting SEA or emerging markets
  • Products where AI is a first-order part of the value proposition
Explore co-founder track →
04

Enterprise AI Integration

AI embedded in your operations, not bolted on.

Weight

Integration

Timeline

3 – 6 weeks

Most enterprise AI projects fail because the integration is treated as a feature rather than a workflow redesign. We start by identifying where AI creates real leverage inside your business, then build integrations that fit your actual stack and how your teams work. Document processing, customer-facing AI, internal knowledge tools, and pipeline automation. No generic plugins. Custom-built, maintained, and designed to actually get used.

Use cases

  • Document and invoice processing automation
  • Internal knowledge bases and AI assistants for operations teams
  • CRM, ERP, and legacy system integrations
  • Custom LLM pipelines, RAG architectures, and agentic workflows
Discuss your use case →

Not sure where to start?

Book a free 30-minute call. We will tell you exactly where your project stands and what it needs.

Get in touch