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Invisible Technologies Tech Stack

Data preparation and AI model adaptation platform for enterprise workflows

Software Development New York, NY 201–500 employees Founded 2015 Privately Held
invisibletech.ai LinkedIn

Invisible Technologies builds data-preparation and AI-model infrastructure for enterprise clients. The stack (Python, Hugging Face, LangChain, OpenAI, Pinecone, Kafka, Delta Lake, Kubernetes on GCP/AWS) reflects a mature ML ops foundation tuned toward production AI pipelines. Hiring velocity is accelerating with a senior-heavy engineering mix (5 engineers, mostly senior+ roles), aligned to active projects around scaling models, real-time analytics, and cloud infrastructure — indicating a shift from services delivery toward platform scalability.

Tech Stack 24 technologies

Core StackPython Hugging Face LangChain OpenAI Pinecone Docker FastAPI Kubernetes AWS Kafka Unity Catalog Delta Lake Jira Asana Salesforce GitLab TypeScript JavaScript React Metabase GCP Cohere Notion Google Apps Script

What Invisible Technologies Is Building

◆Challenges

  • Scaling models
  • Client success
  • Messy ambiguous workflows
  • Data governance challenges
  • Improving platform performance
  • Client-facing deployments
  • Inconsistent data
  • Latency requirements
  • Scaling bespoke client solutions
  • Unlock new revenue streams

▲Active Projects

  • Build processes from the ground up
  • Next-generation marketplace launch
  • Real-time analytics initiatives
  • Scaling models and improving platform performance
  • Client-facing deployments
  • Scalable operational processes from 0-1
  • Ai-driven solutions for client workflows
  • Shared infrastructure components
  • Cloud infrastructure optimization
  • Ai-powered workflows

Hiring Activity

Accelerating10 roles · 4 in 30d

Department

Engineering
5
Operations
2
Product
2
Ops
1

Seniority

Senior
5
Principal
2
Staff
2
Mid
1

Notable leadership hires: Engineering Lead

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About Invisible Technologies

Invisible Technologies provides data cleaning, labeling, and structuring services paired with an AI model adaptation platform designed for enterprise workflows. Founded in 2015 and headquartered in New York, the company operates profitably and serves mid-to-large organizations across supply chain, defense, and sports analytics. The platform integrates human expertise with automated data transformation and AI model customization, working across Python, LangChain, OpenAI, and cloud infrastructure (GCP, AWS, Kubernetes). The company operates a hybrid model combining professional services delivery with platform-driven client workflows.

HeadquartersNew York, NY
Company Size201–500 employees
Founded2015
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Invisible Technologies use?

Python, Hugging Face, LangChain, OpenAI, Pinecone, Docker, Kubernetes, GCP, AWS, Kafka, Delta Lake, and Cohere form the core. Frontend uses React and TypeScript; operations and analytics run on Metabase, Jira, Notion, and Salesforce.

What is Invisible Technologies working on?

Active projects include scaling AI models, launching a next-generation marketplace, building real-time analytics, optimizing cloud infrastructure, and deploying AI-powered client workflows. The team is also focused on operational process scaling and client-facing deployments.

How this profile is built

Invisible Technologies's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.