Funding, deals, and the shape of the GaaS market. · 45 articles
Foundation-model labs like OpenAI, Anthropic, and Google have become some of the most active investors in the agent companies that buy their
Sovereign-wealth funds from the Gulf, Singapore, and beyond have moved from passive AI tourists to anchor investors in the agentic AI-as-a-s
Seed investors backing Agentic AI-as-a-Service (GaaS) companies have stopped grading on the old SaaS curve. They want proof your agent compl
Agentic AI companies are booking eye-popping growth on usage- and outcome-based pricing, but investors are starting to ask the harder questi
Agent unicorns are minting paper millionaires faster than any prior software wave, but the cash behind that paper depends almost entirely on
You don't need a venture round to build a serious Agentic AI-as-a-Service business. The combination of usage-based and outcome-based pricing
Corporate venture arms -- from chipmakers to insurers to the model labs themselves -- are pouring into Agentic AI-as-a-Service deals, often
The founders winning the agentic AI-as-a-service race share a recognizable shape: most spent years inside foundation-model labs, enterprise
The capital flowing into agentic AI-as-a-service is far more concentrated than the breathless headlines suggest. San Francisco still vacuums
Private-equity firms have spent two years watching venture capital chase agentic AI-as-a-Service (GaaS) startups. Now PE is moving in with a
Foundation-model labs and application-layer agent companies are competing for the same investor dollars, but they are not the same bet. Labs
Late-stage diligence on an Agentic AI-as-a-Service (GaaS) company looks nothing like a SaaS data-room exercise. The same dashboards that com
When a foundation-model provider cuts inference prices, agent startups don't automatically pocket the savings as fatter margins. Many alread
Most agent startups won't IPO, and most won't get bought for the reasons their pitch decks imply. The real buyers fall into five distinct ca
The "picks and shovels" thesis says the surest way to profit from a gold rush is to sell the tools, not pan for gold yourself. In Agentic AI
Not every venture investor is racing to write checks into agentic AI-as-a-service. A meaningful minority, including some of the sharpest na
Paul Graham's "default alive" test asks a brutal question: at your current growth rate and spending, do you reach profitability before the m
Venture investors built a clean playbook for SaaS over fifteen years: predictable seat-based revenue, gross margins north of 75%, and the ru
Agentwashing is the practice of dressing up old software, chatbots, RPA scripts, glorified if-then automations, or a thin wrapper around so
Most GaaS startups don't have a revenue problem. They have a cost-of-goods problem dressed up as a growth story. An autonomous agent that re
Buying an agentic AI-as-a-service company across borders is no longer a clean financial exercise. The combination of foreign-investment scre
Top agentic AI startups are paying applied AI engineers $300K-$600K in cash-plus-equity, and the genuinely scarce profiles (people who can s
Most build-vs-buy frameworks were written for software you run once and forget. Agentic AI breaks them, because agents keep costing money ev
While most of the agentic AI-as-a-service market chases the same shiny categories -- coding agents, SDR agents, generic "AI employees" -- a