Loop AI

Discover ICPL, a novel approach that leverages Large Language Models to enhance reward learning efficiency in reinforcement learning.

Researchers Uncover Breakthrough in Human-In-the-Loop AI Training with ICPL

Explore the dynamic role of AI in reshaping the web development landscape — from streamlining operations to enhancing user experience. Dive into real-world appl

Embracing the Future: The Unexplored Synergy of AI in Web Development

An interview with Svyat Stesin, the CEO of rexR, a company that designs, produces, and implements high-speed industrial robots and robotic systems

Why Implementing Modular Robotic Systems in the CPG Sector is Crucial in 2023

Both blockchain and A.I. are at the cutting edge of technology. Blockchain is essentially a distributed ledger, that stores data in an <strong>encrypted, nigh immutable format</strong>. Whereas A.I. is a term used to describe a machine capable of <strong>performing tasks that seemingly require intelligence</strong>.

How to Actually Combine AI and Blockchain in One Platform

💊Deep Learning in medicine: advancing medical image analysis with Supervisely

Supervisely helps companies, researchers, engineers, students, and many others make and prepare training data for various number of computer vision tasks from pedestrian detection to tumors segmentation. We’re excited to see more than 2000 people are using Supervisely. A big thank you to everyone helping out improving it!

🎉  Supervisely v2.0: supercharge your training data pipeline with Deep Learning

A detailed list of useful artificial intelligence tools you can use for company purposes, such as business analytics, data capture, data science, ML and more

A list of artificial intelligence tools you can use today — for businesses (2/3)

Learn how to build secure, human-in-the-loop AI agents using Permit.io’s Access Request MCP, LangGraph, and LangChain MCP Adapters. 

Delegating AI Permissions to Human Users with Permit.io’s Access Request MCP

How parents use Nori AI to reduce family mental load, organize chaos, and share planning  without letting technology run their lives.

How Parents Are Using Nori AI Families Assistant to Reduce Mental Load — Not Run Their Lives

As AI makes authoritative text cheap, verification becomes the bottleneck. A police report failure shows why institutions are adding friction.

Fluent AI Output Is Straining Human Verification Systems

Accuracy metrics look good on paper but fail in real-world AI systems where humans, messy inputs, and trust determine success.

Why High Accuracy Isn’t Enough for Production AI Systems

Learn how to build AI pipelines that pause on ambiguity, ask humans for clarification, and resume safely without corrupting downstream data. 

Building AI Pipelines That Know When to Stop and Ask for Help

Why AI security models fail in real environments—and how on-site learning, human feedback, and edge AI close the accuracy gap.

A Practical Guide to Building Self-Learning Security Cameras

Hands-free AI fails at data storytelling. Graphitup champions a hybrid model, blending AI speed with human oversight to create accurate, contextualized insights

The Future of Data Storytelling Is Hybrid, Not Hands-Free: Why Human Judgment Still Rules

AI is accelerating fast, but success requires HITL oversight, strong processes, & domain expertise. Why disciplined, phased adoption is the real digital steroid

The Digital Steroid – AI + HITL+ Process Mindset

A deep dive into why LLMs need both metrics and human feedback for real-world accuracy, ethics, and performance.

Toward Holistic Evaluation of LLMs: Integrating Human Feedback with Traditional Metrics

The practical framework helps designers, data scientists, and engineers find common ground, aligning the voice and needs of users with the design of AI systems

A Human-centred Framework for Designing Complex AI Solutions for Strategic Decision-making

From NHL draft pick to brain injury survivor to Web3 and AI pioneer, Trevor Koverko’s journey is one of resilience, reinvention, and impact. 

Trevor Koverko: From Athlete to AI Data Entrepreneur

AI agents can handle repetitive tasks so humans can focus on strategy, innovation, and creativity—exploring PropRise’s vision for agentic automation.

Why AI Agents Should Handle the Mundane, So Humans Don’t Have To

Pallav Kumar Kaulwar uses generative AI to create adaptive, explainable fraud detection systems for real-time financial risk and AML compliance.

Driving Real-Time Fraud Detection with Generative AI: Insights from Pallav Kumar Kaulwar’s Research

Learn to build effective feedback loops for AI products, connecting real user signals to model metrics for continuous improvement and better performance.

Closing the Feedback Loop: Building AI That Learns from Its Users

How Rust's strict compiler transforms AI coding tools into reliable pair programmers and why the language is uniquely positioned for the age of agentic coding

Coding Rust With Claude Code and Codex

AI coding agents excel at building features but fail at production integrations. The issue isn't AI capability—it's lack of integration-specific infrastructure.

Why AI Coding Agents Suck At Product Integrations And How Membrane Fixes This

On-policy distillation is more than just another training technique; it's a foundational shift in how we create specialized, expert AI. 

Beyond Brute Force: 4 Secrets to Smaller, Smarter, and Dramatically Cheaper AI

Loop AI is a pioneering AI company specializing in autonomous AI agents and custom-trained Small Language Models (SLMs) for enterprise applications. Founded in 2012, the company offers solutions that integrate seamlessly with existing enterprise systems, providing full sovereignty over AI deployments.

LOOP AI

loop.ai

0 emps

Since 2012

Worth 4.2B

Loop AI's stories on HackerNoon

Researchers Uncover Breakthrough in Human-In-the-Loop AI Training with ICPL

Embracing the Future: The Unexplored Synergy of AI in Web Development

Why Implementing Modular Robotic Systems in the CPG Sector is Crucial in 2023

How to Actually Combine AI and Blockchain in One Platform

💊Deep Learning in medicine: advancing medical image analysis with Supervisely

🎉 Supervisely v2.0: supercharge your training data pipeline with Deep Learning

A list of artificial intelligence tools you can use today — for businesses (2/3)

Delegating AI Permissions to Human Users with Permit.io’s Access Request MCP

How Parents Are Using Nori AI Families Assistant to Reduce Mental Load — Not Run Their Lives

Fluent AI Output Is Straining Human Verification Systems

Why High Accuracy Isn’t Enough for Production AI Systems

Building AI Pipelines That Know When to Stop and Ask for Help

A Practical Guide to Building Self-Learning Security Cameras

The Future of Data Storytelling Is Hybrid, Not Hands-Free: Why Human Judgment Still Rules

The Digital Steroid – AI + HITL+ Process Mindset

Toward Holistic Evaluation of LLMs: Integrating Human Feedback with Traditional Metrics

A Human-centred Framework for Designing Complex AI Solutions for Strategic Decision-making

Trevor Koverko: From Athlete to AI Data Entrepreneur

Why AI Agents Should Handle the Mundane, So Humans Don’t Have To

Driving Real-Time Fraud Detection with Generative AI: Insights from Pallav Kumar Kaulwar’s Research

Closing the Feedback Loop: Building AI That Learns from Its Users

Coding Rust With Claude Code and Codex

Why AI Coding Agents Suck At Product Integrations And How Membrane Fixes This

Beyond Brute Force: 4 Secrets to Smaller, Smarter, and Dramatically Cheaper AI

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