What We Took Away from OpenAI Builder Lab in Seoul
OpenAI invited us to Builder Lab in Seoul. The conversations with Sam Altman and the OpenAI team reinforced our conviction that domain-specific AI beats general-purpose tools for high-stakes workflows like proposals.
TL;DR: Cliwant joined OpenAI Builder Lab in Seoul with Sam Altman and the OpenAI team. The experience reinforced why domain-specific AI matters for enterprise document workflows.
An invitation to Seoul
When OpenAI announced Builder Lab in Seoul, the invite was limited to partners building production applications on OpenAI's platform. Cliwant was selected based on our work in AI-driven proposal automation.
The event brought together builders from across Asia working on everything from healthcare to logistics. What stood out was the consistent theme: the most impactful AI applications are not general-purpose chat interfaces. They are tools deeply embedded in specific professional workflows.
The conversation with Sam Altman
Sam Altman's perspective on enterprise AI was clear. The future is not about making models bigger. It is about making them more useful for specific, high-value tasks. General intelligence is the foundation. Domain expertise is what turns it into a product people pay for.
That framing aligned perfectly with what we had been building. contrl is not a chatbot that happens to know about proposals. It is a purpose-built system that understands RFP structures, compliance requirements, and PowerPoint template architecture.
What we brought back
Builder Lab gave us direct access to OpenAI's technical roadmap and upcoming capabilities. Several features in development aligned with challenges we face in document comprehension and structured output generation.
More importantly, the conversations with other builders validated our approach: the teams seeing real enterprise adoption are the ones solving narrow, painful problems extremely well rather than trying to be everything to everyone.
How this connects to contrl
contrl exists because proposal management is one of those narrow, painful problems. Every bid cycle involves the same manual workflow: read the RFP, build a compliance matrix, write the narrative, assemble the PowerPoint. The technical insights from Builder Lab accelerated our ability to automate that entire pipeline.
If you work in proposals and want to see what happens when deep bidding expertise meets frontier AI capabilities, contrl is the result.
Still writing proposals the old way?
Contrl analyzes RFPs, builds win themes, and generates compliant drafts in your own PowerPoint templates. Your strategy, automated.
Questions? Reach us at patrick@contrl.ai
