Personalized AI story experiences for children. Our request for startups identifies Giant as a portfolio example of consumer personalization, with each child at the center of the experience.
Giant in our investment thesisour investment approach
AI venture capital.
Decasonic is an AI-native venture & digital assets fund backing early-stage AI founders with capital and operating perspective. We invest in AI, Web3, and the intersection—where useful products, domain expertise, and user ownership meet.
the investment thesis
useful intelligence. durable products.
As access to intelligence expands, we believe the distinction is what a product delivers for its users. Our July 2026 request for startups describes an investment focus on end-to-end outcomes, specialized expertise, and user-owned experiences—not model access alone. These published interests connect applications, consumer products, and physical AI within one Web3 × AI thesis.
read our July 2026 request for startupsapplications with domain depth
Vertical AI applications that own a workflow, interfaces that coordinate tools into a finished outcome, and portable memory that lets users retain their context across products.
consumer AI
Personalized stories, companions, and shared experiences where context improves with use. Our published thesis explores how users can own the memory and inputs behind that personalization.
physical AI and decentralized networks
Robotics, sensor data, and the networks that coordinate humans, machines, and training inputs. Web3 can support contribution, verifiable identity, and payments across participants.
a product-first partner, early.
We invest at pre-seed, seed, and early stage. For founders considering AI venture capital firms, our focus is the product and the path to adoption: the user relationship, the expertise behind the experience, and the outcome delivered. Our published product-first approach examines onboarding, retention, latency, quality, and personalization. These are lenses for understanding a business, not published funding thresholds.
how we invest, advise & buildPreparing to raise capital? Learn about AI startup funding and investor fit, including how to prepare for a conversation with our team.
Agents are a specific part of the broader AI opportunity. Explore our investment focus on AI agents for business models, governed execution, and supporting company examples.
Where ownership and coordination matter, see how we invest in crypto & Web3.
A decentralized teleoperation marketplace connecting human operators with robots. Our product showcase describes how validated manipulation data supports robotics foundation models.
the PrismaX product overviewcapital, with operating perspective.
Our Enhancement Capital approach combines investment with product-market fit playbooks, behavioral product development, product-led growth, and help navigating strategic decisions. This includes OKRs, flywheel growth, and investor-deal fit alignment. Paul Hsu’s experience spans venture investing and operating at Zynga. The work with founders goes into product details, not just financing.
how we work alongside founders“Paul and the Decasonic team are always accessible, delving into product details and surfacing insights that many investors might miss.”
from our founder testimonials
the thinking
behind our approach.
July 31, 2026
Where We Are InvestingAugust 12, 2026
The State of Physical AIJuly 16, 2026
Web3 Investor Day 2026: Product Showcase
common questions
AI venture capital FAQs.
What kinds of AI startups does Decasonic invest in?
Decasonic backs early-stage AI companies across applications with domain expertise, consumer experiences, and physical AI. Its published investment thesis focuses on products that deliver useful outcomes, retain context, and give users ownership of their inputs. AI agents are one part of this broader focus, alongside the intersection of AI and Web3.
our published investment focusDoes Decasonic invest in pre-seed and seed AI companies?
Decasonic invests at pre-seed, seed, and early stage, including AI companies. Its approach combines venture capital with close partnership on product-market fit, product development, and growth. These stages describe the firm’s investment focus, not a guarantee that an individual company will receive funding.
our stages and investment approachHow does Decasonic evaluate AI startup opportunities?
Decasonic’s product-first approach looks at the outcome a product delivers, the domain expertise behind it, and the relationship with its users. Its published approach examines onboarding, retention, latency, quality, and personalization. These are ways to understand a business and its adoption, not published numerical funding thresholds.
the product-first investment thesisDoes Decasonic invest in consumer AI and robotics?
Consumer AI and physical AI are both part of Decasonic’s published investment focus. Portfolio examples include Giant, which builds personalized AI story experiences for children, and PrismaX, a decentralized teleoperation marketplace connecting human operators with robots. These illustrate different applications of the firm’s AI thesis.
the portfolio product showcaseHow does AI agent investing fit within Decasonic’s AI thesis?
AI agent investing is a specific part of Decasonic’s broader AI focus. Agents coordinate tools and carry out workflows, while other AI opportunities include consumer experiences, specialized applications, and physical systems. Decasonic’s agent thesis emphasizes completed outcomes, services agents can purchase, and clear boundaries on what an agent can do.
our AI agents investment approachHow does Decasonic support AI founders beyond capital?
Decasonic calls its founder-support approach Enhancement Capital. It includes product-market fit playbooks, behavioral product development, product-led growth, OKRs, flywheel growth, and investor-deal fit alignment. The team also works with founders through strategic decisions and pivots, bringing operating perspective into product discussions rather than only providing financing.
how we work with founders