Everything you need for AI Performance in one platform.
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Fundamentals of ML observability
Metrics, feature importance and more
We’re excited ???? to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
ML Practitioners and leaders use Aporia to:
Using AI Guardrails and ML Observability, Aporia helps ML teams ensure optimal AI performance. Fast track your ML time to market, reduce risks in production, and meet KPIs with agile, responsible, and high-impact AI products.
predictions monitored for drift, bias, and performance degradation.
is required to perform root cause analysis and solve any type of drift.
of hallucinations are detected and mitigated before impacting your users.
Control LLM interactions in real time to ensure high performance and output quality.
Integrate Aporia in minutes to fast-track model deployment and bypass time-consuming and costly in-house maintenance and monitoring.
Easily troubleshoot production issues, allowing you to focus on building more models.
Using ML Observability, you ensure that all of your production models work as they should. Monitor billions of predictions, and when something breaks, use root cause analysis to investigate alerts and enhance model performance.
Visualize & Share model performance
Get a unified view of all your models under a single hub. Keep an eye on model activity, inference trends, data behavior, model performance (f1 score, Precision, RMSE, etc).
Detect drift, bias & data integrity issues
Get live alerts to Slack / MS Teams on any drift, bias, performance, or data integrity issues.
Act when drift occurs
Being able to identify drift is the easy part. Using Aporia, you can collaboratively investigate production events, for a quick resolution.
Explain model predictions
Discover which features impact your predictions the most, and easily communicate model results to key stakeholders
AI Guardrails provides real-time visibility, detection and control over Gen-AI product performance. Guardrails is layered between the user and your Gen-AI product interface to the LLM/API. Control your prompts and responses to ensure your Gen-AI is fair, secure, and driving value for your organization.
Define your own moderation rules, and ensure every conversation aligns with your brand's voice, tone, and values.
Use Chat Moderation to easily detect and mitigate “bad chats”, ensuring reliable responses and trustworthy interactions.
Eliminate irrelevant or NSFW outputs, reduce AI hallucinations by up to 90%.
Ensure consistent and accurate responses that fast-track your LLM to production.
Navigate your LLM costs with precision and clarity.
Track each token, query, and expense to streamline budget planning, ensuring that every penny aligns with your goals.
Secure LLM Performance - Proactive prompt injection control.
Use insightful prompt analytics to fine-tune defenses, reduce manual oversight, and optimize security operations.
Dive into every touchpoint of your LLM journey with Session Explorer.
Learn the story behind raw data, pinpoint performance dips, and transform them into actionable insights for unparalleled user engagement.
Avoid wasting time on production maintenance and firefighting data issues. Integrate Aporia into your ML stack to focus on advancing core ML projects with zero-sampling observability. Tailor Aporia’s dashboards and monitoring to fit your models and use cases.
Integrate in minutes, connect directly to your data sources, and ensure seamless compatibility with your MLOps stack.
Tailor dashboards, set up alerts, and define drift thresholds based on past trends, unique needs, and use cases.
Harness precision through code-based monitoring, crafting custom metrics to meet your needs and optimize ML insights.
Collaboratively investigate corrupt data pipelines, find root cause, and gain insights to swiftly resolve issues in production.
ML teams uses Aporia to launch faster, adapt as they grow, and automate process to do more with less.
Make sure that you're models are working as they should
Solve any type of drift swiftly with minimal resources
“In a space that is developing fast and offerings multiple competing solutions, Aporia’s platform is full of great features and they consistently adopt sensible, intuitive approaches to managing the variety of models, datasets and deployment workflows that characterize most ML projects. They actively seek feedback and are quick to implement solutions to address pain points and meet needs as they arise.”
Principal, MLOps & Data Engineering
“As a company with AI at its core, we take our models in production seriously. Aporia allows us to gain full visibility into our models' performance and take full control of it."
ML Engineering Team Lead
“ML models are sensitive when it comes to application production data. This unique quality of AI necessitates a dedicated monitoring system to ensure their reliability. I anticipate that similar to application production workloads, monitoring ML models will – and should – become an industry standard.”
“With Aporia's customizable ML monitoring, data science teams can easily build ML monitoring that fits their unique models and use cases. This is key to ensuring models are benefiting their organizations as intended. This truly is the next generation of MLOps observability.”
General Manager AIOps
“ML predictions are becoming more and more critical in the business flow. While training and benchmarking are fairly standardized, real-time production monitoring is still a visibility black hole. Monitoring ML models is as essential as monitoring your server’s response time. Aporia tackles this challenge head on.”
Co-Founder | VP R&D