L

Lightfield Tech Stack

AI-native CRM that auto-organizes email, calendar, and meeting data

Technology, Information and Internet San Francisco, CA 11–50 employees Privately Held

Lightfield is building an AI-native CRM powered by LangChain, Llama, and Pinecone—all three actively in adoption—that extracts structure directly from founder communication patterns. The heavy engineering investment (15 of 26 open roles) paired with infrastructure-first projects (database latency, scalable systems, observability) reveals a company solving for real-time AI performance at scale, not just bolting language models onto legacy schemas.

Tech Stack 22 technologies

Core StackLangChain Pinecone TypeScript React Next.js Node.js PostgreSQL Temporal Celery Kafka Salesforce Slack AWS Llama Apollo GraphQL Aurora LinkedIn X Typesense Google GPT

AdoptingLangchain Pinecone Llama

What Lightfield Is Building

◆Challenges

Scaling core infrastructure
Scaling ai feature performance
Supporting large-scale data processing
Organizing data for llms
Scaling customer success function
Revenue expansion
Database latency
Converting self-serve traction into deals
Cement category leadership
Rigid crm systems

▲Active Projects

Category-defining guides
Ai experiences for sales teams
Infrastructure & data strategy for next phase of scale
Core infrastructure for ai-driven crm
Product walkthroughs and feature breakdowns
Improve infrastructure reliability and performance
Reduce database latency and optimize postgres
Build scalable systems for larger customers
Gtm automation engine
Observability and metrics system

Hiring Activity

Steady25 roles · 9 in 30d

Department

Engineering

15

Marketing

5

Sales

3

Support

2

Seniority

Senior

11

Lead

8

Mid

4

Junior

1

Staff

1

Notable leadership hires: Head of Content, Infrastructure Tech Lead, Community Lead

Company intelligence

Find more companies like Lightfield by tech stack, pain points and active projects

Get started free

About Lightfield

Lightfield builds a CRM for founders that self-assembles from email, calendar, and meeting data using embedded LLMs. The product ingests unstructured founder interactions and surfaces structured context: accounts, follow-ups, and insights. The company operates from San Francisco with 11–50 employees, all hiring in the United States. Active work spans AI feature performance, GTM automation, database optimization, and scaling infrastructure to support larger customers—typical early-stage priorities as self-serve adoption converts into enterprise deals.

HeadquartersSan Francisco, CA

Company Size11–50 employees

Hiring MarketsUnited States

Frequently Asked Questions

What AI models does Lightfield use?

LangChain, Llama, and Pinecone form the core stack. All three are in active adoption, suggesting continuous refinement of the LLM pipeline and vector storage layer.

What infrastructure challenges is Lightfield addressing?

Database latency in PostgreSQL/Aurora, scaling AI feature inference, and building observability systems for large customer workloads. Three active projects directly target infrastructure reliability and performance.

Similar Companies in Technology, Information and Internet

Other companies in the same industry, closest in size

C

Candidata ai

Technology, Information and Internet

K

Kanz

Technology, Information and Internet

V

VIHU

Technology, Information and Internet