We are an early-stage venture firm based in Seattle investing in high-potential AI and ML technology companies across the U.S. and Canada.
We believe artificial intelligence and machine learning will disrupt every industry and are looking for the next generation of leaders in every field who are building companies with machine learning at the heart of their strategy.
🚀🚗 Car dealerships are losing billions to fraud—here’s how they can fight back
Did you know? In 2023, car dealerships lost $7.9 billion to identity fraud. Fake IDs, stolen personal data, and even AI-powered deepfakes are making it easier than ever for scammers to drive off with cars they never paid for.
JustAuto sat down with Vouched CEO Peter Horadan to talk about:
🔍 How fraudsters are pulling it off
🛑 What dealerships can do to stop them
🚀 Why AI can be both the problem and the solution
If you’re in the automotive industry, this is a must-read! Check out the full interview here: https://hubs.la/Q03dRLcQ0#AutoFraud#IdentityVerification#Deepfakes#AI#FraudPrevention#Vouched#CarDealerships
Let's step inside this luxury custom build with Digs customer, Shannon Ponciano.
Designing and building homes at this scale isn't just about beautiful finishes and big ideas—it's about precise coordination and crystal-clear communication. And let's face it, that can get chaotic.
Before Digs? Critical information was scattered everywhere - multiple file storage platforms, endless texts & emails, and multiple versions of PDFs or updated floorplans. The same frustrating questions kept coming up:
"Can you resend those specs?"
"Wait, what version is this?"
"Where was that sink info again?" 🤯
Now, with Digs, everything lives in one streamlined space:
🛠️ Vendors upload notes and drawings to their own, dedicated layers.
💬 Teams collaborate and communicate seamlessly right within the platform.
🔎 AskDigs AI instantly answers questions like, "What's the faucet spec?"
💡 No more hunting for files, waiting on replies or second-guessing.
From the striking backlit stone in the party room to the custom brass-lined fireplace, every detail, decision, and measurement stays documented and instantly accessible.
The project isn't wrapped yet, but knowing it’s perfectly organized and ready for handoff? Now that's how a job well done feels.
Interior Design: Shannon Ponciano of House of Ponce
Built with: Digs
Video: Lindy Denny
Location: Vancouver, Washington
#AIforBuilders#AIforInteriorDesigners#HomeConstruction#CustomHome#HomeDesign#InteriorDesign#HomeBuilding
Tune in to the latest episode of the Nothing Ventured podcast with Aarish Shah where our CEO Simon Kohl discusses our mission of making biology programmable.
The episode covers a lot of ground: from Simon's personal journey as a founder, the vision behind Latent Labs, his work on AlphaFold 2 at DeepMind, moving biology from the lab to computational modeling, as well as company building and fundraising.
You can find the episode on YouTube, Spotify and Apple podcasts.
I help venture backed founders scale with my team of CFOs | Over $500m in exits and funding | Bootstrapped EmergeOne to >$1m going for growth | Host of Nothing Ventured - learn from VCs, Angels, Founders and Operators
🦠 On making biology programmable...
Quite the episode of Nothing Ventured this week!
I spoke to Simon Kohl, founder of Latent Labs, a London & SF-based startup using generative models for computational protein design.
Simon studied physics at the Karlsruhe Institute of Technology before pivoting to machine learning for medical imaging during his PhD.
His work led to an internship at Google DeepMind, where he later joined the AlphaFold 1 and 2 teams, developing key uncertainty metrics for protein structure predictions.
He then co-led DeepMind’s generative protein design efforts, setting up a wet lab to validate AI-designed proteins. Seeing a gap in bringing this tech to market, he founded Latent Labs. Now 1.5 years in, Latent Labs has just raised a $50M Series A led by Sofinnova Partners and Radical Ventures to advance AI-driven biotech.
We talked about:
🧬 Generative modelling and protein modelling.
🔬 Transforming science building AlphaFold 2 within Google Deepmind.
🥼 Moving biology from the lab on to the computer.
💊 Building frontier models to improve the process of drug discovery.
🇬🇧 The UK and Europe are powerhouses for scientific progress.
💬 The way you present an idea matters, be agile, but maintain your convinction.
💰 When fundraising, nimbleness should not translate to indecision.
🌎 Building teams in multiple locations is critical if you want to access the best talent.
📈 Simon’s controversial conviction: it’s accepted wisdom that platform companies can’t scale as well as others, but that simply isn’t the case.
Join tens of thousands of venture curious individuals listening to Nothing Ventured to level up their understanding of all things venture, tech and finance ✨
Check out the Quickfire I did with Simon below and I'll drop links to the episodes in the comments 👇🏾👇🏾👇🏾
🚀 TrojAI at NVIDIA GTC – Microsoft Booth #514! 🚀
We’re incredibly honored to be part of Microsoft for Startups' Pegasus Program and to have the opportunity to showcase TrojAI at NVIDIA GTC this week! 🎉
Yesterday was an amazing day filled with insightful conversations, new connections, and exciting discussions about securing AI models and applications. A huge thank you to Microsoft for supporting startups like ours – and special shoutouts to Heena Purohit from the Microsoft Partners Program, as well as Lee Weiner and Christian Falco from Team TrojAI for making this event a success.
We’ll be back at the Microsoft booth #514 from 12-2 PM today. If you’re at GTC, stop by to chat with us about how we’re protecting AI from adversarial threats! 🔐🤖
#MicrosoftPegasus#AIsecurity#NVIDIA#GTC25#Cybersecurity#GenAI#MicrosoftForStartups#TrojAI
HR Tech Influencer. #SXSW innovation award winner. #startupoftheyear winner, Established. Co-Founder at Included. Included's AI automates people analytics insights and data stories. Delight your internal customers ✨
If I could share one strategy I've learned from consulting with our clients:
Purpose-built AI agents, as specialized digital teammates, add the most value in the safest way.
👉 Purpose-built is the stable place to initiate delegation to AI agents.
It reduces the need for your team to be AI experts & increases the opportunity to get started delegating and experiencing the new era of help.
Please see my post yesterday for an at-a-glance guide to the pitfalls of generic AI agents in terms of steep expertise needed to extract value (i.e. Chatgpt, gemini, perplexity, et. al).
At-a-glance: what makes purpose-built AI agents different?
• Pre-trained for specific tasks - They understand your industry's language and processes out of the box.
• Ready to deliver value immediately - No lengthy setup or programming needed.
• Domain-specific intelligence - Built with expertise in particular functions like sales, legal review, or customer service.
Starting with a purpose built AI agent is a great hack - offload tasks to your new AI teammate that is a specialized digital assistant designed to excel at specific tasks within your workflow.
This is different from generic tools requiring more of your time, customization or technical expertise.
How to recognize a truly purpose-built AI agent:
• It speaks your professional language without training
• It anticipates workflow challenges specific to your role
• It integrates seamlessly with your existing tools
• It requires minimal configuration before delivering results
• It continuously improves within its specialized domain
5 hot purpose-built AI agents for HR you should know:
• Opre - Performance Management
• Kinfolk - HR service delivery
• Included - People data insights & reporting
• Superessence - Culture & sentiment
• AllVoices - Employee relations
Purpose-built agents let you focus on creativity and strategy while they handle the specialized, repetitive tasks that drain your energy.
They're not replacing your job – they're eliminating the parts you don't enjoy.
The most successful professionals aren't trying to become AI experts themselves. They're identifying and adopting the purpose-built tools that solve their specific challenges.
What specialized AI agent would make the biggest difference in your workflow today?
The optimal allocation of resources has never been more critical: demand is exponentially growing, while resources are limited and highly dynamic.
A fundamental paradigm shift is needed.
At Hiverge, we design the best program synthesis models for algorithmic discovery that go beyond human intuition, without compromising safety.
Join us today: hello@hiverge.ai.
