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FieldAI

FieldAI

FieldAI

AI for robotics

Artificial Intelligence

Machine Learning

Deep Learning

AI Research

San Francisco, CA

1-50

2025년 설립 (1년차)

Private

기업가치

2.0B

총 투자유치

$6200M

최근 라운드

Series A

채용 중인 포지션

0개 포지션

현재 채용 중인 포지션이 없습니다

제품 및 서비스

AI

AI-Powered Field Service Management

Field Service Management

PR

Predictive Maintenance Platform

Predictive Analytics

MO

Mobile Workforce App

Mobile Solutions

PE

Performance Analytics Dashboard

Analytics & Reporting

CU

Customer Portal

Customer Experience

IN

Inventory Management System

Inventory Management

IO

IoT Device Integration

IoT Solutions

AP

API Integration Services

Integration Services

뉴스 & 버즈

All

Reddit

X

News

HN

LinkedIn

YouTube

Summer rice fields [AI] [1920x1080]

Reddit

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6일 전

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15

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2

Has anyone noticed a significant quality difference between HiggsField AI and the Google API when using NanoBanana?

Been generating images through both HiggsField and the Google API and I'm seeing a pretty big difference in output file sizes for what are supposedly the same 4K images. HiggsField is giving me \~40MB PNGs while the Google API is giving me \~10MB PNGs. When I check the metadata both are the exact same pixel dimensions (3072 x 5504) but the DPI is completely different. HiggsField outputs at 300 DPI and Google API outputs at 96 DPI. Attaching a screenshot of the side by side file properties.

Reddit

·

1주 전

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7

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7

Motivation ?

Reddit

·

1주 전

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1,637

·

53

Combination Similarity Keys: Higher-Precision Matching with Two-Field AI-Powered Keys

**AI-Powered • Two-Field Precision • Dramatically Fewer False Positives • Easy to Integrate** Single-field matching has been the standard approach in data quality for years. You match on company name, or on address, or on a person's name—and hope for the best. But anyone who has worked with real-world data knows the problem: matching on one field alone generates too many false positives. "James Kelly" appears dozens of times in a CRM. "IBM" shows up at hundreds of addresses. "100 Main Street" c

Reddit

·

3주 전

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1

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1

AI Training Jobs: Domain Specialists vs Generalists (Pay, Tasks & Which One Pays More)

Not all AI training jobs are the same. One of the biggest differences in pay, task difficulty, and long-term opportunities comes down to domain specialist roles versus generalist roles. Understanding this difference can help you choose the right path and avoid wasting time on lower-paying tasks. What Is a Generalist AI Training Role? Generalist AI training jobs are open to almost anyone. They focus on simple, repetitive tasks that do not require specialized knowledge. Common Generalist Tasks

Reddit

·

1개월 전

·

32

더 보기 (15개 남음)

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

리뷰

3.8

10개 리뷰

워라밸

3.2

보상

3.5

문화

4.1

커리어

3.6

경영진

3.4

68%

친구에게 추천

장점

Supportive management and great leadership

Good team culture and collaborative environment

Learning opportunities and growth potential

단점

Management communication and direction issues

Heavy workload and long hours

Compensation could be better

연봉 정보

1개 데이터

Senior

Senior

1개 리포트

$182,500

총 연봉

기본급

$170,000

주식

-

$144,500

$195,000