
Funding·AI Agents & Enterprise
Magentic Raises $18M to Automate Procurement
Magentic raised $18M Series A led by Felicis to automate enterprise procurement workflows with AI agents.
- Amount
- $18M
- Led by
- Feliciswith Sequoia Capital, The Westly Group

Funding·AI Agents & Enterprise
Magentic raised $18M Series A led by Felicis to automate enterprise procurement workflows with AI agents.
No. 96·Defense & Security·Newest
We’ve already found vulnerabilities where developers just hardcoded a cloud LLM token into the app, which let anyone read every conversation users had with the AI.
Sergey ToshinFounder, OversecuredOn why Mobile Security Breaks at Workflow Fit →The people
All people · Browse A–Z →The wire · Sep 187 deals · largest first
September 2026
$20.8B across 167 verified rounds this month, 27 of them $100M or more. AI Agents & Enterprise took 59.
Deals verified per week · last eight weeks65 this week
Rounds this month by sector · 5 unclassified
Biggest rounds · SepAll $100M+ →
Most active · Q3 2026All investors →

The architectural boundary for enterprise AI is defined by risk tolerance. As inference costs approach zero, differentiation shifts from generative velocity to structural legibility and deterministic control.
Volumetric media is approaching an infrastructure inflection point as 100x compression enables browser-native streaming. However, capture costs and interaction limits remain the primary structural constraints.
Human-initiated web optimization has reached its economic limit. As CAC rises and SEO returns diminish, the competitive boundary is shifting from creative volume to decision latency compression.
Modern warfare is shifting from high-cost platform preservation to modular, attritable systems. Here is why procurement inertia remains the primary barrier to the goal-oriented "agentic" battlefield.
Automotive safety assumptions are structurally incompatible with two-wheel dynamics. The industry is moving toward vision-first systems as car-grade sensors reach their physical and economic limits.
Enterprise AI is scaling faster than it can be governed. Prompt versioning and multi-agent monitoring are emerging as structural production risks. Here is why the industry is accumulating…
On the recordPositions credited in recent pieces
All voices →Vlad Gozman Involve.me CEO Vlad Gozman identifies the AI agent not as a builder, but as an orchestrator within a predefined system of components.
Georgii Vysotskii Gracia CEO Georgii Vysotskii benchmarks the current inflection point at a 75 Mbps streamable format.
Michelle Lim When a six-week coordination cycle yields zero marginal business gain, the failure is not in the creative—it is in the initiation latency.
| Sep 16–18 | GISEC Global 2026LiveDubai, UAE · Conference |
| Sep 17–18 | AgriNext Conference 2026LiveDubai, UAE · Conference |
| Sep 24 | AI & Cybersecurity Summit 2026Berlin, Germany · Conference |
| Sep 28–29 | AI Infrastructure Summit 2026Berlin, Germany · Conference |
| Sep 28 | MLCon 2026New York, USA · Conference |
| Sep 28 – Oct 2 | DevOpsCon NYC 2026New York City, USA · Hybrid |
Enter your account data and we will send you a link to reset your password.
To use social login you have to agree with the storage and handling of your data by this website. %privacy_policy%
AcceptHere you'll find all collections you've created before.