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Readyly 🏛️
Agentic GovTech Platform
Spotlight
What if AI agents have nowhere to work?
Quick Pitch: Readyly is building AI native government software that enables AI agents to complete workflows across departments, helping governments serve constituents faster.
The Problem
Legacy Systems: Government workflows still rely on disconnected software built long before AI.
AI Stops at the Surface: Most AI tools answer questions instead of completing work.
Missing Infrastructure: Today's software wasn't designed for AI agents to execute workflows.
Why It Matters
The government has a reputation for being slow. But the bottleneck isn't always the people. It's the systems they work in. As AI agents become more capable, software may need to be redesigned around them. That shift will be hardest in government, where roughly 80% of federal IT spending still goes toward maintaining legacy systems.
Snapshot
Industry: Government Technology (GovTech)
Headquarters: New York, NY
Founded: 2021
Backed By: Context Ventures, Hustle Fund, and others
Funding: Raising $2M (Seed), Previously raised $2.1M (Pre-Seed)
Traction: Serving dozens of municipalities with growing recurring revenue
Target Customers: Local governments and municipalities
Founder’s Edge
Kris Sandor: Former Palantir and McKinsey executive, former CEO of Citi Bike, U.S. Navy Nuclear Submarine Officer, and Stanford GSB graduate.
Vijay Jagoori: More than 20 years of experience building AI and machine learning systems.
Playing Field
AI Point Solutions: Companies like Citibot and Polimorphic improve citizen engagement.
Incumbents: CivicPlus, Granicus, Tyler Technologies, and Salesforce are adding AI to existing platforms.
Readyly's Edge: Instead of adding AI to legacy software, it's rebuilding government workflows so AI can execute work across departments.
Analysis
Bulls Case 📈
Strong founder market fit with deep government and AI experience.
Early commercial traction with multiple municipal customers.
Building the underlying infrastructure creates platform potential.
Government customers tend to be highly sticky once operational systems are adopted.
Bears Case 📉
Strong founder market fit with deep government and AI experience.
Early commercial traction with multiple municipal customers.
Building the underlying infrastructure creates platform potential.
Government customers tend to be highly sticky once operational systems are adopted.
Verdict
At first glance, Readyly looks like another GovTech company applying AI to local government.
The larger opportunity may be different.
By connecting workflows across departments, it's building the operational layer that AI can work through. In a market where customers are difficult to win but even harder to replace, that could become a durable advantage.
Who's Hiring — Pre-IPO Startups Hiring Right Now
While many companies are slowing hiring, some of the world's biggest private companies are still growing.
Anthropic — Frontier AI models — hiring across research and engineering.
OpenAI — AI platform — hiring across research, engineering, and product.
Databricks — Data & AI platform — hiring across engineering, product, and GTM.
Stripe — Payments infrastructure — hiring across engineering, product, and operations.
Revolut — Global fintech — hiring across engineering, product, and operations.
The Startup Pulse
Another happening week in startup funding. Three signals from this week:
AI is expanding beyond software into physical industries
Robotics and industrial automation continue attracting massive capital
Infrastructure remains critical, but AI is increasingly becoming embedded in real world systems
Atoms — Raised $1.7B led by Andreessen Horowitz. Travis Kalanick is taking AI beyond software and into factories, warehouses, and manufacturing.
CuspAI — Secured $450M Series B led by Kleiner Perkins and NEA. The startup is using AI to dramatically accelerate the discovery of new materials.
Etched — Raised $300M Series C at a $10.3B valuation. Instead of general purpose chips, Etched is betting specialized inference hardware will power the next wave of AI.
Own AI deployment, grow your career
Making AI actually work day to day is becoming its own job. Hear from three people doing it: Simone Santiago Broad (Yoco), Yelva Espinoza (Zumba Fitness), and Fin's Dave Lynch. They share what the role really looks like, how it came to exist, the skills worth hiring for, and the challenges they're tackling right now. Watch the full conversation on demand.
Written by Ashher
