Aware Agent

What We Do

We have built a general-purpose AI platform with its first application being a personalized wellness smartphone app. This app provides the tools to help you design your best life: make informed decisions, minimize distractions, and achieve your wellness goals with proactive support. A team of assistants, each specializing in a key area like scheduling, fitness tracking, or mental health, works together to provide comprehensive support.

Our MVP, launching by the end of 2025, will deliver a deeply personalized experience. Each assistant will have a unique personality, voice, and interaction style. We're building engaging experiences for users of all ages, from children to elders. Our flexible platform can also be customized for specialized needs like elder care, leveraging features like role-based access and team collaboration.

Watch Our Demos

Enjoy some videos recorded during the proof of concept phase in the summer of 2024. While our end product vision has shifted slightly since then, the same core principles driving our decision making engine still power Aware today.

Our Technology

Multi-Agent System

At Aware, we harness the power of state-of-the-art AI to deliver a cognitive framework where agents are equipped with advanced capabilities in planning, learning, and communication. These agents work collaboratively to handle complex tasks across various domains.

Traceability and Continuous Improvement

Aware is built upon a central relational database, our single source of truth for all data. Custom-built transpilers allow us to work with this data in a standardized, reliable, and incredibly fast way, enabling rapid development and continuous improvement of our personalized AI assistants.

Robustness Through Smart Recovery

Decision-making and problem-solving capabilities drive businesses forward, and the robustness of our system is derived from its ability to autonomously identify and recover from failures. It continuously finds solutions and alternative approaches, and it proactively informs stakeholders about issues when necessary.

Collective Experiential Learning

As users engage with the system, it continuously fine-tunes and optimizes its internal processes and tool executions through a collective experiential learning process. This allows the system to adjust to company workflows without the need for human supervision.

Meet the Founders

Luis Lechuga

Deep Learning Engineer,
Autonomous Decision Making

Nestor Gonzalez

Robotics Software Engineer,
Autonomous Decision Making

Get In Touch

Interested in Aware's proactive wellness assistance or partnering with us?
We'd love to hear from you!