- Chief AI Office
- Posts
- 📌 6 AI Startups raise $50M+
📌 6 AI Startups raise $50M+
BONUS: AI’s Next Frontier Is The Agentic web From Foundation Capital
TODAY’S FUNDING RECAP 🗓️
Netic raises a $20M Seed — Revenue engine for essential services companies
Console raises a $6.2M Seed — IT help-desk
deepdots raises a $6.3M Seed — Customer insights
3 more rounds caught by my funding tracker
Read time: 2 minutes
SHARE CHIEF AI OFFICE
For every 5 referrals, we’ll give you 1 month of Chief AI Office PRO for free
You currently have 0 referrals, only 5 away from adding 1 month to your PRO subscription
Use your unique referral link: https://www.chiefaioffice.xyz/subscribe?ref=PLACEHOLDER
TOP PICKS 📢
1/3
Amount: $20M 🎉
Round: Seed
Lead Investor: Founders Fund, Greylock
Netic offers an autonomous AI revenue engine for essential services businesses, including HVAC, plumbing, electrical work, and roofing.
The platform uses a blend of AI agents and marketing automation to manage the full lifecycle of service bookings and lead generation. It captures inbound demand across calls, texts, widgets, third-party channels, and combines this with proprietary signals — such as weather forecasts, seasonal trends, and equipment age — to surface and act on new revenue opportunities.
2/3
Amount: $6.2M 🎉
Round: Seed
Lead Investor: Thrive Capital
Console is an AI coworker to automate repetitive IT help desk tasks through Slack.
Employees message Console on Slack, and the AI handles requests such as password resets, application access, laptop provisioning, and basic troubleshooting. Console knows each employee’s device, permissions, and organizational context to personalize responses and enforce company policies. The system handles over half of requests autonomously, while complex cases are escalated with context gathered up front.
3/3
Amount: $6.3M 🎉
Round: Seed
Lead Investor: Dawn Capital
deepdots is an AI customer feedback and analytics platform to help enterprises understand and act on customer sentiment at scale.
It collects and analyzes feedback from multiple sources—such as support platforms, chat tools, and surveys—using proprietary in-house AI models that process data. The system surfaces root causes from vague symptom-based inputs, such as identifying that “bad service” is driven by understaffing during peak hours. They also include a second layer of AI agents that help teams implement improvements based on identified insights.
OTHER ROUNDS 🤏
ESSENTIAL INTRODUCTIONS
→ Agent Smyth raises a $8.7M Seed — AI agents for equity analysis
→ Literal Labs raises a $6.2M Pre-Seed — Builds custom AI models to replace GPU-heavy algorithms
BONUS 🔥
THAT’S IT FOR TODAY
SPONSOR US
Get your product in front of over 5k+ readers
Our newsletter is read by top VCs, founders, engineers, managers, and tech professionals in the US. Book a slot →
FEEDBACK
Reply to this email, I would love to hear from you.
Cheers,
Chief AI Officer (CAIO)
Reply