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Lightfield

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@lightfld

CRM that builds a world model of your business.
San Francisco, CA lightfield.app Joined May 2021
875 Following 28K Followers 1.3K Posts

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Lightfield Verified account @lightfld
We’ve raised $47M in Series A funding led by @a16z to reimagine CRM as a world model of a business.
Keith Peiris Verified account @keithpeiris Sep 9
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 humans to update records. Layer agentic processes on top and you get low quality output, because the underlying data is incomplete and lacks the structure agents need.

@lightfld updates itself from every interaction, forming a trustworthy model of your business for people and agents. Since launching last November, 5,000+ companies have signed up - and we're ripping out legacy CRM at mature organizations with hundreds of users.

Companies on Lightfield grow faster than their competitors. It finds prospects that look like your best customers and books meetings with them. It captures commitments from every conversation and automates follow-ups. It diagnoses weaknesses in your funnel and learns from your best sellers to codify what works.

The companies of the future will run on a business world model, not a Salesforce-era database. Our mission is to put that capability in the hands of every employee, and every agent, at every company.
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Lightfield Verified account @lightfld
@sfcompute runs growth on a business world model built with Lightfield.

Lightfield automatically captures technical requirements like GPU model, GPU count, requested start date, and other details directly from customer interactions.

The team can then query demand across its entire pipeline to understand what customers are asking for and help inform what type of capacity to source.

Read how SF Compute turns customer conversations into market signal with Lightfield: lightfield.app/customers/sf-c…
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Lightfield Verified account @lightfld
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 a conventionally fine-tuned model on all six tasks we tested.

Read our latest research to see how agents can hand off repetitive ‘system one’ judgments to classifier models, and how we’re bringing this into Lightfield.
Ves Stoyanov Verified account @vesko_st Oct 8
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. x.com/i/article/2108…
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