Xpander closed a $7.5M Seed round to scale its vendor neutral enterprise AI agent platform and newly launched Omni agent.
Tag: AI agents
NeuralTrust Raises $20 Million In Seed Funding Round
NeuralTrust, the NYC-based AI security platform for enterprise agents, has raised $20 million in seed funding, led by Alstin Capital.
How To Build Custom AI Tools That Track Web Changes Automatically?
An AI Agent is an autonomous software system powered by a Large Language Model (LLM) that can perceive its environment, make decisions, and execute multi step tasks using external tools without constant human intervention.
Exa Labs Raises $250 Million In Series C Funding At $2.2B Valuation
Exa Labs builds an AI native search engine and web data retrieval platform optimized for large language models (LLMs) and AI agents.
Harvey Raises $200 Million In Funding
Harvey raised $200 million in new funding, at $11 billion valuation, to accelerate its AI agent platform for legal workflows.
Gumloop Raises $50 Million In Series B Funding Round
Gumloop, an AI automation company headquartered in San Francisco, secured $50 million in a Series B funding round led by Benchmark.
Pine Raises $25 Million In Series A Funding Round
Pine develops autonomous voice-based AI agents that handle consumer tasks like bill negotiations, subscription cancellations, and complaint resolutions.
Stuut Technologies Raises $29.5 Million In Series A Funding Round
Stuut Technologies, a New York-based startup, develops an AI platform that autonomously handles accounts receivable processes, transforming manual tasks into streamlined, revenue generating workflows.
Vesence Raises $9M In Seed Funding Led By Emergence
Vesence develops AI agents tailored for law firms, embedding directly into Microsoft Office to review emails, documents, and projects for errors, inconsistencies, and compliance with internal guidelines.
Sphinx Raises $9.5 Million In Seed Funding Led By Lightspeed
Sphinx is a New York City-based applied AI research firm focused on building AI agents that interface effectively with data.










