25:00 Works | Francisco Renteria
25:00 Works is a Tokyo-based AI, cloud, and product engineering studio led by Francisco Renteria. It helps companies design, build, and launch practical AI-enabled applications, automation platforms, MVPs, and cloud-native software systems.
Based in Tokyo. Founder-led. Focused on practical execution, not slideware.
LLM-powered applications, AI workflows, data extraction, assistants, and automation systems designed around real business processes.
Deliverables: AI workflow design, prompt/system design, backend implementation, data extraction flows, evaluation logic, and production-ready integration.
AWS-based APIs, databases, authentication, background processing, storage, deployment, and cost-aware infrastructure design.
Deliverables: AWS architecture, Lambda/API design, database structure, authentication, deployment flow, cost controls, and operational monitoring.
From unclear idea to working product: scope definition, architecture, implementation, launch preparation, and iteration.
Deliverables: scope definition, technical specification, working MVP, launch checklist, and iteration roadmap.
Cross-platform apps, web applications, backend APIs, and cloud-connected systems using modern engineering practices.
Deliverables: responsive web apps, mobile app flows, backend APIs, authentication, database integration, and deployment-ready implementation.
Architecture review, technical roadmap planning, vendor evaluation, engineering execution support, and product delivery guidance.
Deliverables: technical strategy, architecture review, roadmap planning, vendor/stack evaluation, execution support, and delivery risk reduction.
25:00 Works is best suited for companies that need a senior technical partner to turn unclear ideas into working systems and keep delivery moving.
Turn useful internal AI processes into deployed software with UX, APIs, data structure, evaluation, and delivery discipline.
Scope, architect, build, and harden new digital products without turning the project into an open-ended rewrite.
Make authentication, data, background jobs, storage, deployment, cost, and monitoring decisions before complexity compounds.
Stabilize stalled prototypes or messy systems with clear priorities, architecture review, and a practical path to delivery.
Give early-stage teams senior technical ownership across roadmap, vendor and stack decisions, architecture, and execution.
Build responsive applications, mobile flows, backend APIs, and operational software connected to secure cloud infrastructure.
HealthTrace AI is an AI-assisted health journaling and doctor-visit preparation product that turns messy symptom notes into structured timelines, summaries, and doctor-ready reports.
HealthTrace AI is not a medical diagnosis tool. It helps users organize their own health information and prepare clearer summaries for professional consultation.
MyCards is a real-time card spending meter for people who want a simpler way to understand current card usage before monthly statements arrive.
Experience across AI delivery, edge AI deployment, regulated transaction systems, robotics and hardware-connected software, cloud infrastructure, and confidential hospitality operations workflows.
AI workflow governance, cloud-based AI systems, serverless APIs, background processing, data extraction, product architecture, and delivery support for practical software systems.
Helps teams move AI ideas from feasibility review into usable, deployed software.
Experience with computer vision, real-time analytics, GPU/NPU inference, IoT, robotics research, simulation, ROS, sensor fusion, and device-connected software.
Useful when software has to interact with devices, cameras, edge compute, or physical-world constraints.
Architecture and delivery experience for high-volume transaction platforms, secure infrastructure, auditability, operational continuity, and compliance-aware workflows.
Useful for systems where reliability, auditability, and operational continuity matter.
Private restaurant operations platform and POS-adjacent workflows, including local app behavior, backend APIs, synchronization logic, and operational reliability.
Useful for operational software where local behavior, synchronization, and business workflow reliability matter.
The public products and selected systems use cloud infrastructure for secure APIs, authentication, structured data storage, background processing, and AI-assisted workflows.
Francisco Renteria is a Tokyo-based technology leader and product engineer with 15+ years of experience across AI, cloud systems, fintech, IoT, robotics, automation, and product delivery.
He combines hands-on engineering with technical leadership, helping companies move from unclear requirements to practical, working software.
Through 25:00 Works, he works with companies that need senior-level execution across product planning, architecture, MVP development, cloud systems, and AI-enabled workflows.
Have a product, AI workflow, or cloud system you need to build?