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Acropolis Labs
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Last saved: December 11 at 9:33 PM -05
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Sofia Torres Team Lead RSVP Approved
Founder at Acropolis Labs
Sofía led the ideation of the agent, defining the real-estate use case, user flows, and the interaction logic between sub-agents (secretary, consultant, valuator). She coordinated the functional integration of voice, inference, and browser actions, ensuring coherence, usability, and alignment with the project vision.
I am a Data Science professional and entrepreneur passionate about building solutions that integrate analytics, business strategy, and user-centered design. My work focuses on modeling, data analysis, and creating tools that transform information into actionable insights. I enjoy collaborating with diverse teams, connecting with others, and contributing to projects that drive innovation and digital transformation.
Interested in Applied AI, product design, data-driven business solutions, AI for legal workflows, and custom AI solutions for organizations. Looking to connect with collaborators in analytics, innovation, and digital transformation.
Currently working on AI solutions for the legal sector, educational analytics projects, and predictive models for Revenue Operations. Developing tools that combine data, UX, and automation to improve processes and support smarter decision-making.
David Sebastian Galeano Arias RSVP Waitlisted
Financial Analyst at Acropolis Labs
David contributed to internal system organization, modularization, and optimization of flows between voice, inference, and browser actions. He supported tool integration and prepared the technical environment needed for incorporating ElevenLabs’ Speech-to-Text and Text-to-Speech pipelines.
I’m a finance major with interest in corporate finances and portfolio management. Apart of my university background, I’m a co-founder of Acropolis Labs since 2023, a company specialized in apply data science to business needs.
Juan David Lopez Becerra RSVP Approved
CEO at BrainBox
Juan David developed key frontend components using Next.js and assisted with integration of ElevenLabs for STT/TTS. He ensured smooth communication between the agent’s modules and contributed to UI implementation and interaction stability.
Juan David Lopez Becerra is the co-founder and CEO of BrainBox, a platform that leverages artificial intelligence to help businesses quickly understand complex documents such as contracts, legal norms, and bidding proposals. Driven by the need to save time and avoid missed opportunities, BrainBox transforms lengthy documents into concise summaries and extracts key clauses, enabling teams to make faster, more informed decisions. With a background in Data Science and Machine Learning from Pontificia Universidad Javeriana, Juan David combines technical expertise with leadership to develop AI-driven solutions that streamline document analysis for companies, legal firms, and bidding teams.
AI, artificial intelligence, machine learning, data science, natural language processing, document analysis, contract analysis, legal document summarization, bidding proposal analysis, clause extraction, AI-driven solutions, startup leadership, tech innovation in document processing
Currently leading the development of BrainBox, an AI-driven platform that uses machine learning to analyze and summarize complex documents such as contracts, legal norms, and bidding proposals. The project focuses on extracting key clauses and generating concise summaries to accelerate decision-making for companies, legal firms, and bidding teams. Technologies involved include AI, natural language processing, and data science techniques.
Daniel Andrés Becerra Sierra RSVP Approved
Chief Research Officer at Acropolis Labs
Daniel designed the overall system architecture and built the core project structure in Next.js, including routing, endpoints, and orchestration logic. He implemented the integration with Grok with Q for inference flows and ensured the stability and reliability of the working prototype.
Data scientist specializing in advanced analytics and machine learning, combining rigorous statistical methodology with practical problem-solving. Expertise in selecting and implementing models based on sound mathematical foundations, ensuring solutions are both theoretically grounded and business-relevant
Quantitative Finance
Actuarial Science
Machine Learning
Deep Learning
Robotics
My Company projects as Style4u