Design AI-native ecosystems that connect data, agents, and cloud infrastructure into a unified operating model. Deliver faster decisions, automated execution, and measurable business outcomes at enterprise scale.

Our Services
At Xolaris AI, we architect and operationalize AI solutions that transform complexity into a competitive edge. From model strategy and data intelligence to scalable deployment and continuous optimization, we deliver end-to-end capabilities across the GenAI lifecycle. Whether you're modernizing operations, automating decisions, or building intelligent products, our solutions are engineered to unlock real-world value—securely, responsibly, and at scale.
Our Services
From strategy to implementation, we engineer secure, scalable, and responsible GenAI solutions that unlock intelligence, automate complexity, and accelerate outcomes.

De-risk ideas and validate business value—fast.
A structured engagement to prioritize high-impact use cases, prototype with your data, and build confidence for scale.

Transform unstructured data into actionable intelligence.
Build production-grade solutions that understand, reason, and act across your enterprise content.

Ask anything. Get trusted answers. Drive decisions.
Leverage enterprise data through natural language interfaces powered by Amazon Q and GenAI.

Design a future-ready AI roadmap aligned to your business.
Align people, processes, and technology to institutionalize GenAI adoption and scale responsibly.

From experimentation to enterprise-scale impact, we partner with you to architect, build, and operationalize AI systems that solve complex problems and drive measurable business value.
For so much more
We help you move beyond pilots and proofs of concept to build secure, scalable, and responsible AI systems that learn, adapt, and create lasting impact.

Our Approach
We combine deep technical expertise with a human-centric approach to deliver intelligent solutions that accelerate your business.
We conduct strategic discovery using domain immersion and stakeholder mapping to align on high-impact opportunities and desired outcomes.
We assess data readiness, engineer knowledge pipelines, and establish robust data foundations for high-quality model inputs.
We design, fine-tune, and orchestrate LLMs and ML models using advanced techniques including RAG, prompt engineering, and multi-agent frameworks.
We operationalize models with MLOps best practices, ensuring seamless integration, security, and scalability on AWS.
We continuously monitor performance, detect drift, and iterate to improve accuracy, reliability, and business impact over time.
Customer Success Story
Madeline (Maddie) Tran
Account Manager, Start-up at AWS
I wanted to send a formal Thank You for your work with my customer. From our initial meeting to the Well-Architected Review, to promptly addressing any additional concerns the customer faced, your team's dedication has not gone unnoticed.
Whether it was jumping on a call from 8 PM, or Q&A'd to assist with a critical issue, or facilitating a full day re-architecture workshop, your support has been nothing short of extraordinary.
Thank you for being an incredible partner to AWS and its customers. I look forward to many more collaborations in the future.
Expertise across dozens of AWS services