Mph Intl

MPH was created to help businesses access software development and QA talent in the Philippines while supporting the development of software teams and startups there. The company emphasizes practical experience, customer-centric innovation, accountability, integrity, collaboration, and teamwork.

MPH describes its team as dedicated to crafting products that create positive experiences for users. Its founders also provide guidance on software development, marketing, business development, company launches, sales, and related areas.

• App and business insight: Guidance from founders with experience starting, selling, and taking a software company public. The founders advise clients on their software and business journeys.
• UI/UX design: Wireframes provide a screen-by-screen walkthrough of an application, help align the product vision, support product-market-fit validation, and can be converted into marketing, sales, and fundraising videos.
• Full-stack software development: Engineers work with tools and methods including Kubernetes, LangChain, Lambda, and Golang. MPH states that its code is secure from inception, drawing on its experience creating Carbonetes open-source cybersecurity tools.
• Product management: Product managers run the agile process as scrum masters, manage timelines, maintain project dashboards, and develop product and domain expertise.
• Quality assurance: QA teams use test automation tools and processes, perform accessibility testing, and record work in Jira. Dedicated QA engineers aim to identify issues before customers encounter them.
• DevOps: DevOps teams support CI/CD, deployment, uptime, performance optimization, security integration, backup and recovery testing, and infrastructure monitoring and logging.
• AI expertise: MPH has worked with generative AI since GPT-2 and open-source GPT-Neo, applying AI to areas including banking, oil and gas, social media, supply chain, legal, cybersecurity, and SaaSOps.

MPH highlights rapid talent acquisition, expertise on demand, flexible staffing, integration with existing teams, and ongoing support. It states that its average employee tenure is five years and growing, helping preserve expertise in clients' code and business domains.

MPH describes its pricing advantage as approximately one-third the cost of US engineers. Its process includes:

1. Assessing project requirements, objectives, and needed skills.
2. Sourcing suitable talent.
3. Integrating team members and defining roles and responsibilities.
4. Providing ongoing project support.

1. Dedicated team: A team is built to deliver the application, guided by founders with successful exits and IPO experience.
2. Wireframe design: Click-through wireframes let clients experience the application before development, gather user feedback, support early sales, and produce fundraising or partnership videos.
3. Programming: A cross-functional team turns the wireframes into a functioning application through MPH's high-velocity product pipeline.
4. Quality assurance: Automated and manual testing address reliability and resilience, with accessibility included as part of the process.
5. Deployment: MPH prepares the application to be scalable, secure, and ready for growing user demand.
6. Maintenance and enhancement: MPH addresses issues and adds features as the business and software evolve.

MPH also describes its broader process as refining ideas and building a Minimum Viable Product quickly and efficiently.

The three-step process is:

1. Connect: Establish secure, real-time access to existing systems using tools such as ODBC and identity management solutions such as EntraID.
2. Centralize and normalize: Aggregate, cleanse, standardize, and enrich data using platforms such as Snowflake and Postgres to create a reliable source of truth.
3. Visualize: Provide interactive dashboards using tools such as PowerBI. Dashboards can be tailored for sales, management, finance, and operations teams.

The solutions include ADA-compliant interfaces, scalable architecture, and dedicated teams providing white-glove service from design through implementation and beyond. The platform can optionally be extended with AI-driven analytics through MCP servers, including predictive insights or automated workflows.