Latest AI Startup Funding Rounds

Fambot is an AI assistant for families that turns school emails, calendars and activity updates into an actionable daily plan. Parents connect household information once; Fambot extracts dates, tasks and reminders, shares responsibilities and sends a text digest so details do not get lost across apps.

ZeitMind connects mid-sized companies' ERP, CRM, HR and other systems, prepares their data and turns plain-language business questions into traceable reports, dashboards and applications.

Space-safety products that combine space-based radar and orbital analytics to detect debris, assess collision risk and support safer satellite maneuver decisions.

Cradlewise makes smart cribs that monitor infant sleep and provide soothing intended to help babies settle and stay asleep.

Lyte develops perception systems for robots and autonomous machines used in inspection, logistics and manufacturing.

YoLearn.ai is a voice-first tutoring platform for Indian school students that connects textbooks and classroom content to conversational AI help. Students scan a QR code to ask questions aloud in their preferred language, work through step-by-step explanations and take practice tests or assessments.

Atira’s AI agents help industrial manufacturers handle complex sales requests, configure products and prepare technical and commercial responses across existing business systems.

Superluminal Medicines combines structural biology, protein dynamics, machine learning and experimental testing to discover small-molecule drugs for difficult G protein-coupled receptor targets. Its pipeline focuses on endocrine and cardiometabolic diseases, including rare genetic and hypothalamic obesity.

empirik gives engineering teams an AI agent and live graph of their cloud, on-premises and SaaS estate to assess infrastructure changes before execution. It connects a proposed change to affected resources and services, calculates its blast radius, and routes a plan through approval, execution and verification workflows.

Wafer runs AI inference infrastructure that adapts a model-serving stack to each customer's workload. It benchmarks and tunes models, engines, kernels and available hardware together, then keeps optimizing live serving for latency, reliability and cost as traffic changes.