Skip links

A Digital Platform for 100 Million People

Jump To Section

A disruptive Fintech Silicon Valley startup had a goal: become an intrinsic part of its customers’ life journeys through every stage of their lives spanning life event planning, cash flow management, budgeting and retirement planning, investment management and insurance coverage decisions.

Customers get a platform for better financial decision-making.

A disruptive Fintech Silicon Valley startup had a goal: become an intrinsic part of its customers’ life journeys through every stage of their lives spanning life event planning, cash flow management, budgeting and retirement planning, investment management and insurance coverage decisions.

Their vision: create a smart-life coach bot that would interact with users’ life events and provide financial advice and highly personalized insights using machine learning and advanced, yet private and secure, data aggregation techniques. Additionally, provide users with a secure digital document vault utility.

To achieve their goal of becoming a true disruptor in helping over 100 million people get affordable and actionable life and financial advice, the company needed a scalable solution for both customers and partners ­– one that would provide a state-of-the-art user experience through fun and insightful mobile/web apps and an intelligent assistant interface.

  • Concept to MVP in 90 Days
  • Investor-Ready Prototype in 3 Sprints
  • 80% Infrastructure Cost Reduction
  • High Developer Productivity with <12% Code Churn

100 million people can count on a platform that scales for life’s journeys.

Our client wanted to serve as a key resource in its customers’ life planning process. To create a platform with a comprehensive yet easy to use feature set and intuitive user experience, Altimetrik:

  • Applied our Design Led and Product Engineering principles to deliver value at every phase of development, from product bootstrapping and user experience design through platform engineering and App Store release.
  • Focused on open-source and cloud-native technologies to significantly reduce delivery time and cost, while using containerization, orchestration and microservices to provide great flexibility and speed.

The end result is a platform that 100 million underserved people can count on for sound financial advice, wherever their life journey takes them. It’s a solution they can bank on.

“Our goal at Altimetrik is to help startups bring value to their customers quickly and cost efficiently, as well as helping Fortune 500 companies operate, think and deliver value as quickly and efficiently as startups. We help envision and materialize our customers’ digital disruption and evolution goals – all while enabling value creation and innovation at every turn with the help of our world-class talent and our Playground approach to Product Engineering across Mobile, Web, Cloud, AI, Wearables and beyond.”

Ignacio Segovia

Chief Architect – Head of Product Engineering

admin

admin

Latest Reads

Subscribe

Suggested Reading

Ready to Unlock Yours Enterprise's Full Potential?

Adaptive Clinical Trial Designs: Modify trials based on interim results for faster identification of effective drugs.Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify.
Real-World Evidence (RWE) Integration: Supplement trial data with real-world insights for drug effectiveness and safety.Supplement trial data with real-world insights for drug effectiveness and safety.
Biomarker Identification and Validation: Validate biomarkers predicting treatment response for targeted therapies.Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies.
Collaborative Clinical Research Networks: Establish networks for better patient recruitment and data sharing.Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing.
Master Protocols and Basket Trials: Evaluate multiple drugs in one trial for efficient drug development.Implement electronic data capture systems and digital platforms to efficiently manage and evaluate multiple drugs or drug combinations within a single trial, enabling more streamlined drug development
Remote and Decentralized Trials: Embrace virtual trials for broader patient participation.Embrace telemedicine, virtual monitoring, and digital health tools to conduct remote and decentralized trials, allowing patients to participate from home and reducing the need for frequent in-person visits
Patient-Centric Trials: Design trials with patient needs in mind for better recruitment and retention.Develop patient-centric mobile apps and web portals that provide trial information, virtual support groups, and patient-reported outcome tracking to enhance patient engagement, recruitment, and retention
Regulatory Engagement and Expedited Review Pathways: Engage regulators early for faster approvals.Utilize digital communication tools to engage regulatory agencies early in the drug development process, enabling faster feedback and exploration of expedited review pathways for accelerated approvals
Companion Diagnostics Development: Develop diagnostics for targeted recruitment and personalized treatment.Implement bioinformatics and genomics technologies to develop companion diagnostics that can identify patient subpopulations likely to benefit from the drug, aiding in targeted recruitment and personalized treatment
Data Standardization and Interoperability: Ensure seamless data exchange among research sites.Utilize interoperable electronic health record systems and health data standards to ensure seamless data exchange among different research sites, promoting efficient data aggregation and analysis
Use of AI and Predictive Analytics: Apply AI for drug candidate identification and data analysis.Leverage AI algorithms and predictive analytics to analyze large datasets, identify potential drug candidates, optimize trial designs, and predict treatment outcomes, accelerating the drug development process
R&D Investments: Improve the drug or expand indicationsUtilize computational modelling and simulation techniques to accelerate drug discovery and optimize drug development processes