Ex-Waymo Tech Lead Raises $3.3M to Make AI Agents More Reliable
Teams are coming up with promising prototypes but often hit a wall when it comes to their reliability.
Agentic AI in production across banking, healthcare, retail, and beyond.
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Teams are coming up with promising prototypes but often hit a wall when it comes to their reliability.
These capabilities are reshaping how companies think about product development, making it faster, more customer-focused, and more effective.
Fenil and Aditya’s vision extends beyond solving immediate problems.
Jain hopes of a future where generative AI powers a suite of IoT products designed to support IT and physical security teams.
The platform allows agents to gain real insight into the market and tap into the 95% of homes not actively listed for sale.
For industries burdened by repetitive, manpower-intensive tasks, these agents offer tailored, domain-specific solutions that drive measurable impact.
Their platform deploys AI-driven voice agents capable of simulating thousands of simultaneous test calls, mimicking real-world user interactions with remarkable accuracy.
Whether it’s automating tasks, integrating systems, or collaborating across platforms, Crew AI will be there to lead the way.
I have the really unpopular view that humans are going to become increasingly more unnecessary.
AI agents can make decisions at a scale that is impossible for any human team.
Systems of Agents redefine software by introducing autonomous AI-driven workflows, unlocking a $4.6 trillion opportunity.
Our mission is to make voice-first interfaces as seamless and responsive as a conversation between two people.
Soon, every workplace will include a multitude of autonomous agents.
We’re not just building a code-gen tool. We’re enabling a new paradigm where AI agents are the future of software.
hese agents leverage contextual information—such as user data, location, and ongoing activities—to provide more personalized, relevant, and efficient responses.
By running the largest models at instant speed, Cerebras enables real-time responses from the world’s leading open frontier model.
Acai is using AI to modernize travel operations with fast and easy-to-use tools so agents can focus on what they do best—delivering exceptional travel experiences.
AI is frequently viewed as a threat to jobs, but at Decagon, we maintain that it enhances them rather than replaces them.
This shift could be groundbreaking, particularly in robotics and reinforcement learning, where AI agents would evolve beyond passive observation to active experimentation, leading to more reliable and efficient systems.