Sorted is an AI quality assurance platform built for teams working with large language models (LLMs). It enables developers, product managers, and researchers to evaluate, improve, and monitor LLM prompts and outputs at scale. Sorted simplifies the process of shipping high-performing, safe, and aligned generative AI products by providing automated evaluation pipelines, human feedback workflows, and performance dashboards.
As the use of LLMs expands in production environments—from customer support agents to AI copilots—Sorted provides a structured framework to ensure that model outputs are consistent, helpful, and aligned with business goals and user expectations.
Features
Sorted delivers a comprehensive suite of features focused on improving the quality and performance of LLM-based applications:
Automated Prompt Evaluation
Instantly test and compare LLM outputs using built-in or custom evaluation criteria such as helpfulness, correctness, completeness, and tone.Multi-Model Testing
Evaluate prompts across different LLMs (e.g., OpenAI, Anthropic, Mistral) to identify the best-performing model for your use case.Custom Metrics and Evaluation Templates
Define and reuse evaluation rubrics tailored to your application or domain—such as medical accuracy, legal compliance, or brand voice.Ground Truth Comparison
Use labeled datasets or expected outputs to benchmark model responses and identify regressions or performance gaps.Human-in-the-Loop Feedback
Collect feedback from users, annotators, or internal reviewers to assess response quality and flag issues.Prompt Versioning and History
Track changes to prompts, inputs, and outputs over time to maintain visibility into how your models evolve and perform.Collaboration Tools
Share evaluations and reports across teams, assign feedback tasks, and manage review workflows with role-based access control.API and CLI Access
Integrate Sorted’s evaluation pipeline into your existing LLMops stack using its developer-friendly API or command-line interface.
How It Works
Import Prompts and Outputs
Bring in prompt-response pairs from your LLM pipeline manually, via API, or by integrating with your application’s logs.Define Evaluation Criteria
Choose from Sorted’s prebuilt evaluation metrics or create your own based on the goals of your use case.Run Batch or Real-Time Evaluations
Evaluate outputs across different LLMs, prompts, or versions and view performance results in an interactive dashboard.Collect Human Feedback
Enable human reviewers to rate or comment on responses for subjective metrics like tone, clarity, or user satisfaction.Track and Iterate
Use insights from evaluation reports to improve prompts, fine-tune models, or switch to more reliable providers.Deploy with Confidence
Monitor prompt quality over time and ensure changes don’t introduce unexpected failures or regressions.
Use Cases
Sorted is ideal for a wide range of use cases involving LLM applications:
Chatbot and Virtual Assistant Tuning
Evaluate chatbot outputs for appropriateness, clarity, and user satisfaction before deployment.RAG (Retrieval-Augmented Generation) QA
Ensure generated responses are grounded in retrieved content and free from hallucinations.Customer Support Automation
Test LLM-generated replies to ensure accuracy, brand tone, and policy compliance.AI Writing Tools
Optimize content-generation prompts for structure, readability, and SEO alignment.Internal Knowledge Agents
Monitor AI assistants used for internal documentation, IT support, or HR queries.Prompt Engineering Workflows
Track the performance of different prompt versions and identify what works best for your audience.
Pricing
Sorted operates on a custom pricing model, tailored to team size, evaluation volume, and feature requirements. Factors influencing pricing include:
Number of users or contributors
Volume of evaluations per month
API usage and integrations
Level of support and onboarding required
Access to enterprise features like role-based access, audit logs, and SLA guarantees
To get a quote or schedule a live demo, users can contact Sorted directly via their official contact form.
Strengths
Purpose-built for LLM evaluation and prompt refinement
Easy to use for both technical and non-technical team members
Supports multiple models and evaluation methods
Enables scalable human feedback collection
Rich visual analytics and reporting
Integrates well with LLMops workflows
Ideal for production teams prioritizing quality, safety, and alignment
Drawbacks
Currently focused on evaluation—does not include model training or fine-tuning tools
No public pricing or free tier available
May require data engineering setup for larger-scale integrations
Human feedback workflows may require initial team coordination
Comparison with Other Tools
Sorted differs from tools like PromptLayer, LangSmith, and Truera by focusing specifically on LLM output evaluation at scale. While PromptLayer emphasizes logging and LangSmith focuses on chaining and traceability, Sorted delivers structured evaluation pipelines and customizable feedback loops designed for improving prompt quality.
Compared to broader LLMops platforms, Sorted is lightweight, fast to implement, and optimized for QA, alignment, and A/B testing—not full-stack model deployment or training.
Customer Reviews and Testimonials
While Sorted does not publish detailed customer testimonials on its public website, it is actively used by AI research labs, product teams, and early-stage startups building with LLMs.
Early adopters appreciate Sorted’s ability to:
Catch model failures before deployment
Align outputs with brand guidelines
Simplify A/B testing of prompts across models
Streamline feedback collection from internal QA teams
Sorted is especially valued by teams shipping AI copilots or LLM-powered SaaS features where reliability and clarity are critical.
Conclusion
Sorted is a powerful tool for AI teams looking to evaluate, test, and improve large language model performance before and after deployment. By focusing on prompt quality, response accuracy, and human-in-the-loop feedback, Sorted empowers product and ML teams to deliver safer, smarter, and more aligned AI experiences.
Whether you’re deploying AI chatbots, copilots, or knowledge systems, Sorted gives you the confidence to iterate faster and scale responsibly.
