We are excited to introduce Aimpoint Digital’s AI Engineering discipline, built to help organizations turn GenAI and ML ideas into real, measurable business value. While experimentation with generative AI has exploded, MIT reports that 95% of GenAI pilots never make it to production. What sets Aimpoint apart is our team’s proven ability to deliver AI systems that do not just launch in production, but truly scale in production, supporting thousands of real-time users across enterprise environments. This is the result of our deep technical expertise, strong delivery practices, and a team that knows how to bridge innovation with execution.
Our Value Driven Approach
With business value at its core and an evaluation-first approach, Aimpoint Digital’s AI Engineering discipline has delivered production-grade multi-agent planning assistants, conversational support chatbots, and copilots for clients from emerging startups to Fortune 500 companies.
- Business-Value Driven: We help organizations identify and prioritize the highest-ROI GenAI use cases. From there, our teams rapidly prototype solutions to validate impact and demonstrate value early.
- Evaluation-First Approach: We embed evaluation from day one using LLM-as-a-judge metrics, human-in-the-loop feedback, and retrieval and generation performance measures. This accelerates iteration, improves quality, and builds trust in production systems.
- Scalable & Extensible Implementations: We deliver production-grade AI systems built on proprietary LLMOps and MLOps frameworks. Our solutions scale seamlessly and adapt to new use cases as your needs evolve.
- Security & Observability: We have extensive experience building secure, externally facing applications for customers, with strong guardrails, fine-grained access controls, and data protection by default. Built-in observability provides you with full visibility into performance, usage, and risk across the system lifecycle.
Our Expertise
We specialize in productionizing both traditional ML and modern GenAI applications. Backed by a highly skilled, multi-disciplinary team, we bring proven accelerators that significantly compress build times across platforms like Snowflake, Databricks, AWS, and Azure.
- Our team brings deep expertise across machine learning engineering, MLOps, deep learning, and generative AI, with proven experience delivering scalable, reliable systems to thousands of real-world users.
- We work closely with client teams to design, build, and operate AI systems that are cost-effective, performant, and ready for long-term growth, not just experimentation.
Meet the Team
- Elizabeth Khan (Director of AI Engineering)
- Meg Fager, Ph. D. (Principal AI Engineer)
- Santiago Jaramillo (Principal AI Engineer)
- Enoch Kan (Lead AI Engineer)
- Jake Kohler (Lead AI Engineer)
- Shruti Misra (Senior AI Engineer)
- Jorge Gallego Feliciano (Senior AI Engineer)
Ready to Move AI Into Production?
Ready to turn your AI initiatives into real business results? We’d love to connect! Visit our AI landing page to learn more about Aimpoint Digital’s AI Engineering discipline, explore how our teams bring GenAI and ML into production at scale through real-world use cases, white papers, and engineering blog posts. Get in touch with one of our experts today.
