
Humanloop is a collaborative platform designed for building AI features where Product Managers, Engineers, and Domain Experts can work together efficiently. It facilitates managing and iterating on prompts across an organization, offers an evaluation and monitoring suite for debugging prompts before production, and provides customization and optimization tools to enhance model performance by connecting private data. Humanloop allows easy integration into production applications, with version-controlled prompts and deployment capabilities executed by PMs or within existing CI/CD systems. The platform combines software best practices with the requirements of Large Language Models (LLMs), empowering entire teams to contribute to AI improvement effectively. Humanloop aims to enable the safe and secure adoption of AI throughout an organization, ensuring data privacy and security while providing end-to-end monitoring and support from AI experts. The team behind Humanloop consists of professionals with previous experience at major tech companies like Google, Microsoft, and Amazon, and the platform supports various models including OpenAI, Anthropic, Llama2, and custom models.
Humanloop was founded by Raza Habib, who serves as the CEO. Raza previously worked at MonolithAI and Google, holding a Ph.D. in Machine Learning from UCL and an MSc in Physics from Cambridge. The company's team includes experts from prestigious backgrounds like Google, Microsoft, and Amazon, with substantial support from investors like Index Ventures and Y Combinator.
To use Humanloop, follow these steps:
Collaboration: Humanloop allows PMs, Engineers, and Domain Experts to collaborate on building AI features in a shared workspace with history and deployment controls.
Prompt Management: Manage and iterate on prompts across your organization within the platform.
Evaluation and Monitoring Suite: Debug prompts, chains, or agents before deploying to production by defining metrics and integrating into workflows.
Customization and Optimization: Connect private data, fine-tune models, and integrate with existing CI/CD systems for improved performance.
Developers Integration: Easily integrate Humanloop into production applications with version controlled prompts and flexible deployment options.
Enterprise Adoption: Safely deploy AI throughout your organization with a focus on data privacy, security, and shared learnings.
Support and Mission: Gain fast support, end-to-end monitoring, and enable implementation of AI across various domains securely.
Team: Meet the founders and key team members of Humanloop, with expertise from major AI projects and top investors backing the venture.
By following these steps, users can effectively leverage Humanloop for prompt management, evaluation, and collaboration in AI development projects.
The end-to-end monitoring is exceptional. It gives us peace of mind knowing we can track the performance of our AI models closely.
I would love to see more customizable reporting features in the future.
It allows us to manage AI integration securely and effectively, which is critical for our business strategy.
The ability to customize prompt management is fantastic. It allows us to tailor our AI features to our specific needs.
The interface can feel a bit overwhelming, especially for those new to AI.
It helps us to innovate continuously, ensuring that we stay ahead in our industry.
The seamless integration process has made it easy to adopt AI features without disrupting our existing workflows.
The documentation could be more comprehensive, especially for advanced users.
It allows us to implement AI features efficiently, enhancing our product offerings and customer satisfaction.
Enhances customer service with AI tools, self-service, agent productivity, and automation using ServiceNow's CSM platform.