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- 📌 6 AI Startups raise $75M+
📌 6 AI Startups raise $75M+
BONUS: AI Sales Thesis From a16z
TODAY’S RECAP 🗓️
Ema raises a $36M Series A — AI employees for enterprises
Tezi raises a $9M Seed — Autonomous AI recruiter
Not Diamond raises a $2.3M Pre-Seed — LLM router
Lightrun raises a $18M Round — Autonomous code debugging
2 more rounds caught by my funding tracker
Read time: 2 minutes
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TOP PICKS 📢
1/4
Amount: $36M 🎉
Round: Series A
Lead Investor: Accel, S32
Ema offers customizable AI employees called Personas which are a collection of AI agents.
These Personas are built using a proprietary Generative Workflow Engine™ that generates workflows and orchestration code, allowing them to integrate with internal data sources, learn from human feedback, and perform tasks.
Also, Ema just launched a Persona Builder which allows businesses to create tailor-made Personas by specifying goals, resources, and constraints.
2/4
Amount: $9M 🎉
Round: Seed
Lead Investor: 8VC, Audacious Ventures
Tezi offers a fully autonomous AI recruiter called Max.
Max is trained by top hiring managers and recruiters to handle the entire recruiting process. It sources candidates through a global database, screens inbound applications, ranks and assesses applicants, and manages interview scheduling. Max interacts with users via Slack or web interfaces, providing updates and answering follow-up questions.
3/4
Amount: $2.3M 🎉
Round: Pre-Seed
Lead Investor: Defy
Not Diamond is an AI model router that determines the best-suited LLM for any given query.
It combines multiple LLMs into a meta-model that learns to route effectively between them, setting new state-of-the-art standards on major benchmarks. This approach improves LLM output quality while reducing costs and latency. Not Diamond is available through an API and an interface for training custom routers with user data.
4/4
Amount: $18M 🎉
Lead Investor: GTM Capital
Lightrun offers an autonomous debugging solution integrated with developer observability tools.
Their newly introduced Runtime Autonomous AI Debugger aims to automate the process of identifying and resolving production code issues. The platform is designed to be platform-agnostic, supporting cloud, container, and serverless environments, with robust security features suitable for highly regulated industries.
OTHER ROUNDS 🤏
ESSENTIAL INTRODUCTIONS
→ Athena Security raises a $10M Seed — AI-powered weapons detection
PITCH DECKS & TOOLS ⚒️
New Pitch Decks
Momentum $13.5M Series A - AI to record and analyze sales and customer calls
Lakera AI $20M Series A - GenAI security platform
Thoughtful AI $20M Series A - AI agents for healthcare operations
Trending Business Tools
BONUS 🔥
THAT’S IT FOR TODAY
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