Functions, Users, and Comparative Analysis
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Build AI products you can trust.
We’re super excited to share that Aporia is now the first ML observability offering integration to the Databricks Lakehouse Platform. This partnership means that you can now effortlessly automate your data pipelines, monitor, visualize, and explain your ML models in production. Aporia and Databricks: A Match Made in Data Heaven One key benefit of this […]
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 […]
Use Aporia to understand your AI before it makes decisions for your customers. Monitor, track, evaluate, and manage your AI products to ensure they're transparent, compliant, and benefit both your business and users.
The Aporia Responsible AI platform enables AI governance that ensures every AI project is transparent, compliant, and aligned with business goals.
Enhance Accountability & Transparency
Ensure Ethical AI
Adhere to Regulation
Improve your AI products by with quality data and test for adaptability. Use Explainable AI to make the AI’s decision-making process understandable.
This integrated approach of accuracy, accountability, and transparency not only strengthens your AI's performance but also boosts your brand's credibility and delivers greater value to your customers.
Actively combat bias in AI systems by ensuring data diversity and fairness. Use representative data and evaluate fairness metrics to mitigate unfair or discriminatory decisions made by your AI.
Consistently monitor AI systems for biases and swiftly respond when fairness alerts fire. This proactive approach fortifies ethical AI standards and shields the integrity of both decision-making and brand reputation.
Master regulatory compliance and ensure your AI systems align with legal standards such as GDPR and industry-specific regulations across regions.
Fortify your AI ecosystem with state-of-the-art security and privacy, creating an impervious shield against both external threats and internal vulnerabilities, while securing your data, models, and AI decisions.
Enable responsible AI by preventing hallucinations. Through centralized management, dashboards, and swift alerting mechanisms, Aporia ensures AI systems maintain high performance, fairness, and compliance with regulations.
Slash your time to deploy models to production. Foster seamless collaboration with stakeholders and investigate production data to pinpoint the genesis of model discrepancies and performance anomalies.
Proactively drill down into your production data to unearth new opportunities, ensure your AI product is continually driving value, and uphold your Responsible AI practice with unwavering diligence
Data privacy and compliance with GDPR are crucial to the success of your organization. That’s why we take a “no data leaves your cloud” approach to our services, ensuring that your data remains securely under your control at all times.
Take a proactive approach to AI governance and ensure your organization is practicing responsible AI with Aporia. Be confident that your data is protected and that your use of AI is ethical and transparent.
Aporia demystifies your AI's predictions, bridging the gap between data scientists and stakeholders. Unravel the logic behind AI decisions, bolster collaboration, and drive responsible innovation with clear insights.
See why Data Scientists, ML Engineers and Business Stakeholders love Aporia.
ML Engineering Team Lead
“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."
VP R&D
“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.”
General Manager AIOps
“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.”
Co-Founder | VP R&D
“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.”
Data Scientist
“We develop and deploy models that impact students' lives across the country, so it's crucial that we have good insight into model quality while ensuring data privacy. Aporia made it easy for us to monitor our models in production and conduct root cause analysis when we detect anomalous data."
“As an early stage startup, starting to launch ML models in the fintech sector, monitoring the predictions and changes in our data is critical, and Aporia has made it easy by providing the right integrations and is easy to use."
