Today we're announcing @lightfld's $47M Series A led by @a16z to reimagine CRM as a world model of a business.
For agents to do customer-facing work, they need to understand how your business actually works.
Salesforce wasn't designed for this. It was built 20+ years ago for
Lightfield's plugin for @ChatGPT and Codex is now live.
Ask any question about your company or customers, and get answers grounded in a world model of your business.
Install it in ChatGPT: chatgpt.com/plugins/plugin…
Lightfield now supports native integration with @meetgranola.
Connect your personal or team account to have transcripts and enhanced notes automatically added to meeting records.
Lightfield's Chief AI Officer @vesko_st tested whether an agent can build and maintain the classifiers to do its repetitive work, with Claude Opus writing the classifiers and TypeSafe's Jev running them.
When given the same training data, agent-built classifiers matched or beat
Jev matches frontier models on classification at a fraction of the cost. The obvious follow-up: can an agent build and maintain classifiers?
I tested on six tasks. Opus built classifiers matched or beat fine-tuned RoBERTa on all six.
Last night we hosted 50 founders and go-to-market leaders at the Exploratorium for a conversation between @joeschmidtiv and @keithpeiris on how to choose the right sales strategy for your company: "Lighthouse" (win a few marquee customers first) or "Landgrab" (close as many logos
