Research, perspectives, and analysis from the HaiQV investment team.
We share our thinking on AI innovation, enterprise software trends, seed-stage venture strategy, and the companies redefining industry.
HaiQV AI Ventures announces the close of its inaugural $140M Seed Round in January 2020, anchored by Bessemer Venture Partners, to invest in AI and enterprise SaaS companies at the earliest stages.
An in-depth analysis of how large language models are being adopted across enterprise organizations, the integration challenges teams face, and where the biggest opportunities lie for founders building in this space.
Why vertical AI applications built for specific industries will outperform general-purpose AI tools in adoption, revenue, and defensibility — and where the strongest competitive moats are forming.
A deep dive into the pricing models, metrics, and negotiation disciplines that drive faster growth, higher retention, and stronger unit economics for AI-powered enterprise software companies.
A comprehensive guide to the AI data infrastructure landscape — from vector databases to feature stores — and what enterprise SaaS founders must understand to build production-ready AI systems.
An inside view of how experienced seed-stage venture investors evaluate AI and enterprise SaaS startups — from team assessment and market sizing to technical due diligence and competitive positioning.
Generative AI represents a genuine platform shift for enterprise software. This analysis examines what enterprise technology leaders must do to capture value rather than be displaced by faster-moving challengers.
A practical guide to enterprise AI governance frameworks — how leading organizations are managing risk, ensuring compliance, and building trust in AI-powered systems deployed at enterprise scale.
A deep technical and market analysis of AI agent architectures — how autonomous AI systems are being designed and deployed in enterprise software, and where the market opportunity is heading.
A practical, honest guide to seed-stage fundraising for enterprise SaaS and AI founders — from preparing your investor narrative and building your target list to managing the process and closing your first institutional round.
How AI-native enterprise startups should structure their sales motion — from first design partner to repeatable enterprise revenue — with practical frameworks for managing POC processes, multi-stakeholder procurement, and account expansion.
A deep dive into the AI-driven automation trends reshaping enterprise operations and what it means for SaaS founders today.
Why conviction matters more than diversification when backing AI and enterprise SaaS companies at the earliest stage.
From vertical AI applications to compound startups, these are the patterns shaping the most interesting enterprise opportunities.