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Ship your LLM Applications Confidently
truly
production ready LLMs
voice-aware evaluations
reliable AI experiences
aligned with user intent
observable in production
feedback-driven improvement
scalable for your whole team
Evaluate, test, and track the performance of your LLM-based apps — from development to production
Coming Soon
1. Evaluate Design
Define use cases, inputs, expected outputs, and evaluation metrics.
2. Run & Compare
Test prompts across multiple models or versions. Score and annotate results.
3. Monitor in Production
Capture real user interactions and score them using the same evaluation templates.
1. Evaluate Design
Define use cases, inputs, expected outputs, and evaluation metrics.
2. Run & Compare
Test prompts across multiple models or versions. Score and annotate results.
3. Monitor in Production
Capture real user interactions and score them using the same evaluation templates.
Features that make trusys Powerful
Whether you're building with text or voice, Trusys.ai gives you the tools to evaluate and continuously improve your AI applications with precision and scale.
Multi-Dimensional Evaluation
Evaluate, test, and track the performance of your LLM-based apps — from development to production
Prompt Testing Playground
Experiment with prompts, models, system messages, and parameters — side-by-side — and log the results for reproducibility.
Voice + Text Support
Test and evaluate voice-based LLM applications, not just text. Analyze transcriptions, latency, and audio input quality.
Production Monitoring
Track model behavior post-deployment. Spot drifts, regressions, and anomalies — before users do.
Model Agnostic
Use OpenAI, Anthropic, Google, open-source models, or your own custom stack.
Feedback Loops
Ingest user feedback to continuously fine-tune evaluation metrics and scoring models.
Why is evaluation needed?
Build, test, and scale LLM applications with confidence — while keeping your teams aligned and your users happy.
Model Agnostic
Ship AI features your users can trust. Reduce hallucinations, inconsistencies, and edge-case failures.
Visibility into the Black Box
Understand how changes in prompts, models, or context affect output — with traceable, side-by-side comparisons.
Fewer Hotfixes in Prod
Catch regressions and low-quality outputs before they reach your users — not after the damage is done.
Scalable Testing for AI Teams
Enable PMs, designers, QA, and analysts to contribute to evaluations — no ML expertise required.
Continuous Improvement Loops
Ingest real-world feedback to refine evaluation logic and drive better model performance over time.
How customers use trusys.
Prompt & Behavior Evaluation
Chatbot Response Tuning
Fine-tune prompts and system instructions to improve clarity, helpfulness, and tone in chatbots.
Voice Assistant Behavior Analysis
Evaluate how voice-based agents handle queries, respond to commands, and maintain conversation flow.
Scenario-Based UX Testing
Simulate real-world user interactions and evaluate how your product behaves across edge cases.
Content Quality & Compliance
AI Content Generation QA
Assess factual accuracy, coherence, and formatting of LLM-generated blogs, emails, or articles.
Brand Tone & Style Consistency
Validate that AI outputs stay aligned with your company’s voice and messaging guidelines.
Bias & Toxicity Detection
Automatically surface unsafe, biased, or inappropriate outputs before they go live.
Team-wide LLM Collaboration
PM-Led Prompt Experiments
Let product managers test and log different prompt strategies without writing code.
Design QA for Conversational UX
Help designers test AI responses for tone, clarity, and brand alignment during prototyping.
Cross-Functional Review Workflows
Build workflows that involve product, QA, and compliance teams in reviewing model outputs.
Production Monitoring
& Feedback Loops
Support Ticket Summarization QA
Monitor how well AI summarizes real customer issues, and fine-tune for accuracy.
Human Feedback Integration
Analyze the tone, pacing, and persona of your AI voice agents to create natural experiences.
Model Drift & Regression Detection
Measure response times and flow quality in voice-first or multimodal applications.
How customers use trusys.
Prompt & Behavior Evaluation
Chatbot Response Tuning
Fine-tune prompts and system instructions to improve clarity, helpfulness, and tone in chatbots.
Voice Assistant Behavior Analysis
Evaluate how voice-based agents handle queries, respond to commands, and maintain conversation flow.
Scenario-Based UX Testing
Simulate real-world user interactions and evaluate how your product behaves across edge cases.
Content Quality & Compliance
AI Content Generation QA
Assess factual accuracy, coherence, and formatting of LLM-generated blogs, emails, or articles.
Brand Tone & Style Consistency
Validate that AI outputs stay aligned with your company’s voice and messaging guidelines.
Bias & Toxicity Detection
Automatically surface unsafe, biased, or inappropriate outputs before they go live.
Team-wide LLM Collaboration
PM-Led Prompt Experiments
Let product managers test and log different prompt strategies without writing code.
Design QA for Conversational UX
Help designers test AI responses for tone, clarity, and brand alignment during prototyping.
Cross-Functional Review Workflows
Build workflows that involve product, QA, and compliance teams in reviewing model outputs.
Production Monitoring
& Feedback Loops
Support Ticket Summarization QA
Monitor how well AI summarizes real customer issues, and fine-tune for accuracy.
Human Feedback Integration
Analyze the tone, pacing, and persona of your AI voice agents to create natural experiences.
Model Drift & Regression Detection
Measure response times and flow quality in voice-first or multimodal applications.
Frequently Asked Questions.

1. What services does trusys offer?

Trusys.ai is a platform to evaluate and monitor large language model (LLM) applications — from early experiments to production. It helps teams analyze outputs, track performance, and close the loop with real-world feedback.

2. How is Trusys different from tools?

While similar in concept, Trusys goes beyond prompt evaluation by supporting voice-based LLM workflows, offers custom scoring metrics, and provides a unified space for multi-stakeholder collaboration across product, QA, and ML teams.

3. Can I use Trusys with any LLM provider?

Yes. Trusys is model-agnostic, meaning you can run evaluations and tracking with OpenAI, Anthropic, Google, open-source models like LLaMA or Mistral, or even your own internal models.

4. Is real-time monitoring of LLMs in production supported?

Absolutely. You can monitor responses in real time, detect drift or regressions, and analyze how model behavior evolves post-deployment.

5. Who is Trusys for?

Trusys is designed for AI product teams — including engineers, product managers, QA, and researchers — who want visibility, control, and confidence when shipping LLM-powered features.

6. How does Trusys handle data privacy and security?

Trusys is built with enterprise-grade security in mind. Your data is encrypted in transit and at rest. You have full control over what’s logged, stored, or shared, and we offer flexible deployment options — including on-prem and private cloud — to meet your compliance needs.

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