6
years on the market
73%
new clients come from referrals
510+
finished projects
80+
software engineers
Services we offer
- 01Data Science Services
> DATA SCIENCE SERVICES <
Data science services transform your business data into predictive models and actionable insights that guide decisions. This includes statistical modeling, algorithm development, and machine learning implementation tailored to your specific business challenges. Our team works directly with you to define use cases, prepare data, and build models that solve real problems. We handle everything from experimental design to production deployment.
San Diego companies in biotech, healthcare, and technology face complex data challenges that require deep understanding of both technical methods and domain knowledge.
- Predictive modeling for business outcomes
- Statistical analysis and hypothesis testing
- Custom algorithm development
- Feature engineering and data preparation
- Model validation and performance monitoring
> BUSINESS INTELLIGENCE PLATFORMS <
Need better visibility into your operations and performance? We build and integrate BI platforms that give your team the data they need for decision making.
- Power BI and Tableau integration
- Real time dashboards
- Embedded analytics
- Executive reporting systems
- 02Data Analytics Solutions
> DATA ANALYTICS SOLUTIONS <
Data analytics solutions help you understand what happened in your business and why. We build dashboards, reporting systems, and analysis tools that surface customer insights and operational patterns from your existing data. Companies in San Diego need fast access to business intelligence without hiring a full time employee for every analytics task. Our analytics work includes building ETL pipelines, integrating data sources, and creating visualizations that support informed decision making. You get clear answers to business questions without waiting months.
- Dashboard development and visualization
- KPI tracking and trend analysis
- Customer behavior analytics
- Anomaly detection systems
- Self-service reporting tools
- 03Enterprise Data Management
> ENTERPRISE DATA MANAGEMENT <
Enterprise data management covers how large organizations store, organize, and govern their data assets. This includes data lakes, warehouses, cloud infrastructure, and the systems that ensure data quality and security. San Diego enterprises in healthcare and life sciences handle sensitive data that requires careful management. We build scalable solutions for data infrastructure that handle high volumes while maintaining compliance. Our approach includes data cataloging, versioning, and metadata management that supports your analytics and AI initiatives.
- Cloud data platform architecture
- Data lake and warehouse design
- Data quality and lineage tracking
- Secure storage and access controls
- Integration with legacy systems
- 04Data Strategy & Governance
> DATA STRATEGY AND GOVERNANCE <
Data strategy and governance aligns your data capabilities with business objectives. This includes policies for data privacy, ownership, and usage, plus the frameworks that ensure regulatory compliance across your organization. We help establish data leadership structures, define access policies, and implement controls that satisfy HIPAA, FDA, and other requirements. Your strategy consulting engagement results in a practical roadmap, not a document that sits on a shelf.
- Compliance framework development
- Data privacy policy design
- Governance council structure
- Audit trail implementation
- Regulatory reporting systems
> DATA SCIENCE SERVICES <
Data science services transform your business data into predictive models and actionable insights that guide decisions. This includes statistical modeling, algorithm development, and machine learning implementation tailored to your specific business challenges. Our team works directly with you to define use cases, prepare data, and build models that solve real problems. We handle everything from experimental design to production deployment.
San Diego companies in biotech, healthcare, and technology face complex data challenges that require deep understanding of both technical methods and domain knowledge.
- Predictive modeling for business outcomes
- Statistical analysis and hypothesis testing
- Custom algorithm development
- Feature engineering and data preparation
- Model validation and performance monitoring
> BUSINESS INTELLIGENCE PLATFORMS <
Need better visibility into your operations and performance? We build and integrate BI platforms that give your team the data they need for decision making.
- Power BI and Tableau integration
- Real time dashboards
- Embedded analytics
- Executive reporting systems
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Built for systems requiring low latency, accuracy, and auditability. We deliver software handling real money, risk, and compliance with advanced analytics and machine learning for risk assessment and reporting.
Healthcare
Designed for workflows demanding data privacy and reliability. We develop software that meets HIPAA standards and supports clinical decision-making with predictive models.
Education
Platforms built to scale users, content, and outcomes together. From internal tools to student facing systems that actually get used, we apply data analytics to measure learning outcomes and improve institutional performance.
Construction
Software that mirrors how projects run in the real world. Our big data solutions support scheduling, reporting, and coordination with seamless integration into existing workflows and equipment monitoring systems.
Technology
Complex systems, integrations, and internal platforms built to evolve. We step in when off the shelf tools stop being enough, providing ai consulting services and custom analytics for product development.
Startups
From first version to real traction without painting yourself into a corner. Built for speed now and hard decisions later, with scalable solutions and customer insights that support growth from day one.
Compliance
Systems designed around controls, traceability, and change management. Built so audits do not become fire drills, with data governance frameworks and audit trails that satisfy regulators.
Energy
Infrastructure software built for long timelines and high stakes. Reliable systems for assets that cannot afford guesswork, including predictive maintenance and demand forecasting through advanced analytics.
Transparency at each stage
Discovery & Alignment
Defined goals and a precise roadmap ensure your vision is realized without unexpected pivots or hidden costs.
Technical Strategy
Senior engineers select the optimal tech stack with clear architectural reasoning for long-term scalability.
Iterative Development
Gain real-time access to code and staging environments with regular demos to track every milestone as it happens.
Careful Testing
Receive transparent QA, security, and performance audits to ensure a flawless and stable launch every time.
Deployment & Support
Stay in total control with full documentation and proactive monitoring to keep your systems running at peak performance.
Numbers Don’t Lie
Recent projects showcasing how we design, engineer, and deliver production-ready software solutions.

WHAT IT WAS LIKE TO BUILD TOGETHER
Direct feedback from founders and product owners – including our partners right here in San Diego, CA – after shipping, scaling, and maintaining real production systems.
WHAT CHANGED IN PRACTICE
Clients didn’t stay because of promises. They stayed because delivery became predictable, ownership was clear, and the product kept moving forward after launch.
- 01Direct Access to Senior Engineers
You work directly with the data scientists building your system. No account managers, no relays, no information loss between decisions and implementation. Our consultants bring years of expertise in machine learning and analytics. Communication is clear and technical questions get answered by the people doing the work. This means faster decisions and better outcomes for your ai project.
- 02Predictable Delivery
Work is scoped, sequenced, and delivered in clear increments. No surprises, no rushed rewrites, no stalled releases. We define milestones and hit them so you can plan around real progress. Your team always knows what is coming next. This predictable approach lets you focus on your business while we handle execution.
- 03Built to Last Past Launch
The system is designed for long term use, maintenance, and change. Launch is the starting point, not the finish line. We build with software maintenance and evolution in mind from day one. Documentation and knowledge transfer are part of every engagement. Your data solutions grow with your organization without requiring complete rebuilds.
- 04No Babysitting Required
Clients do not manage the team or push work forward. Execution does not depend on reminders. We take ownership of delivery and communicate proactively. You get updates without asking for them. Our team solves problems independently and escalates only when your input is actually needed.
Frequently Asked Questions
How is communication handled in data science projects?
A PM leads updates, scope, and timelines for your engagement. Engineers are brought in for planning, tradeoffs, and technical clarity so decisions do not get lost in translation. You have direct access to the team doing the work. Weekly updates keep you informed without overwhelming your schedule. Communication skills matter and we make sure your questions get answered clearly.
What types of data science projects are a good fit for SoftDoes?
Long term products, business critical systems, and software that needs to be maintained and evolved after launch. We work with companies in San Diego building data platforms, analytics tools, and machine learning systems that matter to their business. If your project requires deep expertise and ongoing development, we are a good fit. We focus on outcomes, not hours.
Do you build data science MVPs or only large systems?
We build MVPs when they are designed to grow into production systems. We do not build throwaway demos. Your minimum viable product gets architecture that scales when you succeed. This approach costs a bit more upfront but saves significant rework later. Startups and established companies in San Diego both benefit from this approach.
How do you handle data science project scope and changes?
Work starts from a defined scope. Changes are discussed, estimated, and prioritized explicitly, not absorbed silently. We track requirements and help you make tradeoff decisions based on real data. Scope creep does not happen because we address it directly. Your data management project stays on track because we communicate about changes before they become problems.
What happens after data science project launch?
We continue supporting, maintaining, and evolving the system. Launch is the beginning, not the end. Your team gets documentation and knowledge transfer. We provide ongoing software maintenance and can handle new features as your needs change. Many San Diego businesses work with us for years after initial launch.
Will we own the data models and intellectual property?
Yes. You own 100% of the code, repositories, and intellectual property from day one. This includes all machine learning models, data pipelines, and documentation we create. There are no licensing fees or ownership restrictions. Your ai consulting engagement results in assets you fully control.
What makes SoftDoes different from typical data science agencies?
Senior engineers, direct communication, predictable delivery, and long term ownership, not volume based outsourcing. We are a trusted partner for San Diego businesses that need reliable data science services. Our team has worked with companies across industries and brings expertise that generalist agencies cannot match. We focus on value, not billable hours.
How do you price data science projects?
Engagements are structured around clear scope and outcomes. We focus on long term value, not lowest upfront cost. Pricing reflects the expertise required and the business outcomes you need. We discuss budget early and help you prioritize features within your constraints. Our consulting services deliver return on investment, not just deliverables.
How I Built SoftDoes. From Solo Developer to Custom Software Development Company
In 2019, I was a freelance software engineer working from a small apartment in Ukraine. Today, I lead SoftDoes, a 70+ person AI focused custom software development company headquartered in Kansas City, Missouri. This is the story of how I built it, project by project, client by client, through a war and across continents.
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