public-sector-ai
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Granicus Owns the Boring Stuff at City Hall - Now It Wants to Be Government's AI Front Door
The software best known for council agendas and government email alerts now touches 30 billion digital experiences a year. Its next bet is that a governed AI agent can turn the municipal website maze into a useful front door.
r4 Technologies Wants to Fix the Most Expensive Part of AI: Nobody Acts Together
Most enterprise AI predicts inside one department. r4's XEM is built for the awkward moment after the prediction - when inventory, pricing, logistics and people all have to move together.
Euna Solutions Is Building the Financial Back Office Government Forgot to Modernize
The public sector does not lack software. It lacks software that understands a bid protest, a grant audit and a city budget meeting. Euna Solutions is betting one connected suite can turn those peculiarities into an advantage.
Kamran Saddique Is Making Government Paperwork Behave Like Software
His route from Sun Microsystems and Gulf finance to public-sector software explains an unusual bet: the least glamorous government workflows may be where technology can do its most practical work.
Thread AI
Thread AI is a New York enterprise software company building composable infrastructure for AI-powered workflows. Founded in 2023 by former Palantir AI/ML leaders Angela McNeal and Mayada Gonimah, its flagship platform Lemma pairs a drag-and-drop workflow builder with orchestration infrastructure so organizations can connect disparate systems, data, and AI models into governed, observable, end-to-end workflows - without ripping out their existing stack. The company raised a $20M Series A in 2025 to help enterprises and public-sector agencies deploy mission-critical AI with control, traceability, and security.
Hazel
Hazel is a New York-based startup building AI-native software for U.S. government procurement. Its platform helps state, local, and federal agencies define requirements, draft solicitations (RFPs, RFQs, RFBs), run market research, and evaluate vendor responses in one place - compressing a process that often takes months into days while keeping agencies compliant. Founded in 2024 by Harvard classmates August Chen and Elton Lossner and backed by Y Combinator, Hazel counts the City of Dallas, City of Atlanta, PhilaPort, and the U.S. Air Force among its early adopters.
Readyly
Readyly is an agentic AI platform built for local government and service-driven enterprises. Instead of scripted chatbots, it deploys AI Agents that listen, decide, and act across chat, voice, email, text, and social channels in 200+ languages - handling resident inquiries, permits, 311 work orders, and emergency alerts around the clock. Founded in 2021 and led by CEO Kris Sandor, the company promises deployment in about a week and meets government-grade security standards (SOC 2 Type 2, HIPAA, GDPR, ISO 27001, NIST AI RMF).
Kris Sandor
Kris Sandor is the co-founder and CEO of Readyly, an agentic AI platform automating customer support and public services for governments and enterprises. A former U.S. Navy nuclear submarine officer turned McKinsey consultant, Palantir business lead, and CEO of Citi Bike (acquired by Lyft in 2018), he now builds AI agents that replace decision-tree chatbots across voice, chat, and email.
August Chen
August Chen is the co-founder and CEO of Hazel, a Y Combinator-backed startup building AI-native procurement software for U.S. federal, state, and local government. A Harvard mechanical engineering and computer science graduate who built wildfire-prevention software at Palantir, Chen now aims his company at the $2.7 trillion public procurement market, helping overworked civil servants draft compliant solicitations in five minutes instead of five months. Hazel counts customers from K-12 school districts to the U.S. Navy and, in 2025, signed the City of Dallas as the first major Texas city to adopt AI for procurement.
Polimorphic
Polimorphic is a New York-based govtech company building AI-powered software for local and state governments. Its platform pairs a purpose-built Constituent Relationship Manager (CRM) with an AI chatbot, search, voice agents, and automated workflows so residents can get answers and start services 24/7 in 75+ languages - while understaffed agencies cut call volume, automate permitting and licensing, and recover thousands of staff hours. Founded by MIT alumni Parth Shah and Daniel Smith, the company raised an $18.6M Series A led by General Catalyst in 2025, bringing total funding to roughly $28M.
Parth Shah
Parth Shah is the co-founder and CEO of Polimorphic, the New York-based company building AI-powered constituent relationship management software for local governments. An MIT-trained electrical engineer and former NVIDIA deep learning engineer, Shah started out trying to build an 'ESPN for politics' and ended up rewiring how town halls answer phones, process permits, and serve residents in 75+ languages. In July 2025 Polimorphic raised an $18.6M Series A led by General Catalyst, bringing total funding to roughly $28M.