Tech has decided that regulation is the enemy of progress, but innovation requires capital
Regulation builds the trust necessary to inject billions into markets
To enable free innovation, Andera raised a $37M series A led by Lightspeed to scale financial oversight with agents
"Wasted tokens are the new headcount bloat."
Most firms have thin layer of doers at the bottom, with the rest of the org stacked in management.
Token usage follows a similar structure, with 10% of tokens shipping useful output, and 90% wasted on unproductive loops.
Hebbia CEO George Sivulka on why AI mimics middle management, and how firms should respond: https://t.co/F1SfhwX7kN
@dwr I'll let you try us for a week and show you how far the rabbit hole goes. We map where to use AI and where your gaps are. Warning: you may become enlightened
Palantir CEO Alex Karp on what customers actually want, the real business of frontier labs, and the importance of open source models:
“What the technical customers want is control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it's not being transferred to someone else.”
"Who owns the data? Are the prompts secure? Is this being transferred to you?"
"If it was so valuable, and I can make you a billion dollars, wouldn't I say I'll make you a billion dollars and I want 30%? Why are they charging for tokens if it's so valuable?"
Every company now has a traceable outcome for every task.
We just tripled revenue and told the world at YC that Autostep is the missing scorecard for AI adoption. We measure Agent and Human ROI in outcomes and cost.
Now we're raising our seed round.
Agent ROI tells you which AI workflows earn their token cost. Human ROI tells you where your people lose capacity, what each task costs, and how many hours you win back.
Companies buy AI faster than they can measure it. We built the measurement layer.
If you want a demo on how we do both, check below.