Humanloop

Humanloop

Platform to develop, evaluate, monitor LLMs

Overview

Humanloop provides a platform for enterprises to build, test, and monitor large language models (LLMs). It offers a set of tools for prompt management, A/B testing, observability, and fine-tuning with private data, helping product managers, engineers, and domain experts collaborate to create reliable AI applications. The platform works across multiple model providers (e.g., OpenAI, Anthropic, Cohere), so teams can switch providers or avoid vendor lock-in while working on end-to-end development and deployment. Compared with other AI tooling, Humanloop focuses on evaluating and monitoring model behavior, managing prompts, and iterating with private data to improve safety and performance, not just code generation. The company’s goal is to enable safe, scalable adoption of AI in business, helping enterprises deploy useful AI features and workflows while maintaining control over data and model behavior.

YC Company

About Humanloop

Simplify's Rating
Why Humanloop is rated
F
Rated D- on Competitive Edge
Rated F on Growth Potential
Rated F on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

Seed

Total Funding

$2.7M

Headquarters

Cambridge, United Kingdom

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $2.85M from Index Ventures, Y Combinator, UCL Technology Fund.
  • Powered AI at Gusto, Vanta, Duolingo in payroll, security, language learning.
  • Integrated with AWS, Azure, Slack, Zapier for enterprise workflows.

What critics are saying

  • Platform shut down September 8, 2025, eliminating all revenue.
  • Founders and engineers joined Anthropic August 2025, causing brain drain.
  • Anthropic acqui-hire excluded assets and IP, preventing revival.

What makes Humanloop unique

  • Humanloop pioneered LLM development platform with prompt management and observability.
  • Founders from UCL and Cambridge built active learning and human-in-the-loop fine-tuning.
  • Supported multi-provider models like OpenAI, Anthropic, Cohere avoiding vendor lock-in.

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Funding

Total Funding

$2.7M

Below

Industry Average

Funded Over

2 Rounds

Notable Investors:
Seed funding is usually the first official round after pre-seed, when a startup has a prototype or concept. It’s typically used to develop the product, test the market, and start building the team. Investors here are often angel investors or early-stage venture capitalists.
Seed Funding Comparison
Below Average

Industry standards

$3.3M
$2M
Netflix
$2.3M
Instacart
$2.6M
Humanloop
$3M
Robinhood

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

10%
Tech in Asia
Aug 14th, 2025
Canadian AI startup Cohere hires ex-Meta AI VP

The competition has intensified to the point where companies are conducting "acqui-hires," acquiring entire teams primarily for talent rather than technology, as seen with Anthropic's recent acquisition of the Humanloop team2.

SSBCrack News
Aug 13th, 2025
Anthropic Acquires Humanloop Co-Founders, $8M Raised

Anthropic has acquired the co-founders and most of the team from Humanloop, a platform for AI prompt management and evaluation, to boost its enterprise strategy. The deal, which did not include Humanloop's assets or IP, aligns with Anthropic's focus on AI safety. Humanloop, founded in 2020, raised nearly $8 million in seed funding. This acquisition supports Anthropic's competitive positioning against rivals like OpenAI and Google DeepMind.

Humanloop
Aug 4th, 2022
Humanloop launched Humanloop for Large Language Models on Aug 4th 22'.

Today, Humanloop is announcing the preview of Humanloop for Large Language Models (LLMs).

Tech.eu
Jul 28th, 2022
Index Ventures Backs Humanloop With $2.6 Million To Help Humans Teach Ai Algorithms

UK-based startup that makes it easier for companies of all sizes to adopt AI technology, Humanloop has raised $2.6 million in seed funding. The round was led by venture capital firm Index Ventures, with participation from Y Combinator, LocalGlobe and Albion. Founded in 2020 by a team of computer scientists from UCL and Cambridge, and alumni of Google and Amazon, Humanloop aims to tackle the hugely time-consuming problem of humans needing to draw on their judgement and domain expertise in order to label the massive data sets required to train machine learning algorithms. The company draws on innovations in computer science that make it possible to automate the labelling of data, as well as to build robust models from smaller data sets and continuously update those models

Humanloop
Jun 14th, 2022
Humanloop launches Programmatic 4.0 with support for No-Code Templates

That's why Humanloop is really excited to announce Programmatic 4.0 with support for No-Code Templates — simple UI-based labeling functions that anyone can understand even if they don't know how to program.

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