
Let's build together.
Talk with a senior engineer about your product idea, architecture, and what it would take to build it.
6
years on the market
73%
new clients come from referrals
510+
finished projects
80+
software engineers
Services we offer
- 01Data Science Services
> TURN COMPLEX DATA INTO COMPETITIVE ADVANTAGE <
Data science services help Tacoma businesses extract valuable insights from large datasets that would otherwise sit unused. Our team applies statistical modeling, machine learning, and advanced analytics to solve problems ranging from demand forecasting to customer behavior analysis. We work directly with your existing systems, whether legacy databases or modern cloud infrastructure. Every project starts with understanding your specific needs and ends with deployed, working solutions.
—
Tacoma companies face unique challenges. Local utilities need load forecasting. Retailers require inventory optimization. Service businesses want to predict churn before it happens. SoftDoes delivers data science solutions built for your operational reality, not generic templates. We handle the full pipeline from data collection through model deployment and monitoring.
- Custom ML model development
- Predictive analytics implementation
- Data pipeline architecture
- Model deployment and MLOps
- Statistical analysis and reporting
- 02Data Analytics Solutions
> MAKE INFORMED DECISIONS FASTER <
Data analytics transforms raw data into clear answers. We build dashboards, reporting systems, and analytical frameworks that help Tacoma organizations understand what happened, why it happened, and what to do next. Our solutions connect to multiple sources and present unified views that executives actually use. No more spreadsheet chaos or conflicting reports. Most businesses collect far more data than they analyze. We bridge that gap. SoftDoes implements analytics solutions that enhance operational efficiency by surfacing trends, identifying risks, and highlighting opportunities. Whether you need real time monitoring or quarterly strategic analysis, our team builds tools that fit your decision making process.
- Interactive dashboard development
- Cross platform data integration
- Automated reporting systems
- KPI tracking frameworks
- Self service analytics tools
- 03Enterprise Data Management
> ORGANIZE DATA THAT ACTUALLY WORKS <
Enterprise data management brings order to organizational chaos. Companies accumulate data across dozens of systems, creating silos that block analysis and slow operations. We design and implement management frameworks that unify your information assets. Clean data. Consistent formats. Reliable access. Tacoma businesses need data infrastructure that handles today's volume and tomorrow's requirements. SoftDoes builds scalable solutions using modern data warehouses, lakes, and hybrid architectures. We address data quality at the source, implement governance policies that stick, and create catalogs that help teams find what they need without filing tickets.
- Data warehouse implementation
- Master data management
- Data quality monitoring
- Metadata cataloging
- Access control frameworks
- 04Data Strategy & Governance
> BUILD A FOUNDATION THAT LASTS <
Data strategy turns fragmented efforts into coordinated capability. Many organizations invest in analytics tools without addressing underlying data problems. We help Tacoma companies define clear strategies that align data initiatives with business objectives. Governance frameworks ensure data driven decisions rest on trustworthy foundations. Compliance matters. Privacy regulations like CCPA affect how you collect, store, and use information. SoftDoes implements governance structures that balance accessibility with security. We document data lineage, establish ownership, and create policies that satisfy auditors while enabling innovation. Strategy without execution fails. We do both.
- Data maturity assessment
- Governance framework design
- Compliance policy development
- Data ownership mapping
- Roadmap creation
> TURN COMPLEX DATA INTO COMPETITIVE ADVANTAGE <
Data science services help Tacoma businesses extract valuable insights from large datasets that would otherwise sit unused. Our team applies statistical modeling, machine learning, and advanced analytics to solve problems ranging from demand forecasting to customer behavior analysis. We work directly with your existing systems, whether legacy databases or modern cloud infrastructure. Every project starts with understanding your specific needs and ends with deployed, working solutions.
—
Tacoma companies face unique challenges. Local utilities need load forecasting. Retailers require inventory optimization. Service businesses want to predict churn before it happens. SoftDoes delivers data science solutions built for your operational reality, not generic templates. We handle the full pipeline from data collection through model deployment and monitoring.
- Custom ML model development
- Predictive analytics implementation
- Data pipeline architecture
- Model deployment and MLOps
- Statistical analysis and reporting
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Risk modeling and fraud detection require processing large datasets in real time. We build analytics systems that identify anomalies, score transactions, and support compliance reporting.
Healthcare
Patient outcomes improve when organizations analyze clinical data effectively. Our solutions handle sensitive health information with appropriate security while enabling research and operational insights.
Education
Student retention and success depend on understanding behavior patterns early. We implement analytics that help institutions identify at risk students and measure program effectiveness.
Construction
Project cost and schedule forecasting reduces overruns. Our data science solutions analyze historical project data to predict outcomes and optimize resource allocation across portfolios.
Technology
Product analytics and user behavior modeling drive feature decisions. We build data pipelines and ML systems that help technology companies understand usage patterns and predict churn.
Startups
Early stage companies need actionable insights without enterprise budgets. We deliver MVP analytics and predictive models that prove value quickly and provide scalable solutions as you expand.
Compliance
Regulatory reporting demands accurate data and auditable processes. Our governance frameworks and automated reporting systems help organizations maintain compliance while reducing manual effort.
Energy
Load forecasting and demand response optimization require sophisticated time series analysis. We build models similar to those used by Tacoma Public Utilities for resource planning.
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 Tacoma, WA– 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 senior engineers who build your solutions. No project managers translating requirements. No junior developers learning on your project. Our team averages over a decade of experience in data science and engineering. Every conversation happens with people who understand both the technical details and business context. This direct access eliminates miscommunication and accelerates delivery. You get expertise without the enterprise overhead.
- 02Predictable Delivery
We commit to timelines and meet them. Our process includes detailed scoping before any code gets written. We identify risks early, communicate proactively, and adjust plans when circumstances change. Weekly updates keep you informed without requiring constant oversight. Milestones are concrete and demonstrable. You always know exactly where your project stands and when it will finish.
- 03Built to Last Past Launch
Production systems need to run for years after the initial project ends. We write documented, tested, maintainable code from day one. Architecture decisions consider your future team, not just our deadline. Data pipelines include monitoring and alerting. ML models deploy with retraining workflows. You inherit systems your internal team can understand, extend, and operate independently.
- 04No Babysitting Required
Our team operates autonomously once objectives are clear. We ask questions upfront, then execute without requiring daily direction. Status updates arrive on schedule without prompting. Problems get raised with proposed solutions, not just complaints. You stay informed and maintain control without managing every detail. Your time stays focused on your business while we handle the technical implementation.
Technologies We Use
DATA ANALYTICS & BI
DATA SCIENCE & ML TOOLS
DATABASES
DATA PLATFORMS & WAREHOUSES
BIG DATA & DATA PROCESSING
Frequently Asked Questions
How is communication handled during data science projects?
We establish communication rhythms at project kickoff based on your preferences. Most clients prefer weekly video calls plus asynchronous updates via Slack or email. You get direct access to the engineers building your solution, not intermediaries. We share progress through working demos rather than slide decks. Questions get answered within hours during business days. All decisions and key discussions are documented for future reference.
What types of data science projects are a good fit for SoftDoes?
Data engineering services involve designing, building, and optimizing data ecosystems to transform raw data into reliable, actionable insights that empower decision-making and operational efficiency. We handle projects ranging from quick analytics implementations to comprehensive ML platform builds. Predictive modeling, data pipeline development, BI dashboard creation, and strategy consulting all fit our capabilities. Short engagements work when scope is well defined. Longer partnerships suit complex transformations requiring sustained effort. Tacoma businesses with messy data, unclear requirements, or failed previous attempts often find us particularly helpful. We thrive on problems others find difficult.
How do you handle data privacy and security during model training?
Security architecture gets designed before any data moves. We work within your infrastructure when required or establish secure environments meeting your compliance needs. Encryption protects data in transit and at rest. Access controls limit exposure to authorized team members only. For sensitive datasets, we implement techniques like data masking, anonymization, or differential privacy. Audit logs track all data access. We sign appropriate NDAs and comply with HIPAA, CCPA, or other relevant regulations.
How do you handle scope and changes in data science projects?
Data science projects often evolve as initial analysis reveals unexpected patterns or opportunities. We use agile methodologies that accommodate learning and adaptation. Scope changes get evaluated for impact on timeline and budget before implementation. We distinguish between refinements within existing scope and genuine expansions requiring re-estimation. Transparent communication ensures no surprises. Change requests follow a clear process that protects both parties while maintaining project momentum.
What happens after data science model deployment?
Deployment is a milestone, not an ending. We include monitoring from day one so you know when model performance degrades. Documentation covers operations procedures, troubleshooting guides, and architecture decisions. Knowledge transfer sessions prepare your team to maintain systems independently. We offer ongoing support arrangements for clients who prefer continued partnership. Retraining pipelines handle model drift automatically when appropriate. You choose the level of post launch involvement that fits your organization.
Will we own the code and IP for our data science solutions?
Yes. You own all custom code, trained models, and documentation we create for your project. Our standard contracts assign IP upon payment. We retain no rights to use your data or custom work for other clients. Some projects incorporate open source libraries governed by their respective licenses, which we document clearly. Proprietary algorithms or reusable frameworks we bring to projects remain ours, but your specific implementations belong to you. No licensing fees. No ongoing royalties.
What makes SoftDoes different from a typical agency?
Data scientists can identify bottlenecks in supply chains or internal processes, allowing businesses to streamline operations. Typical agencies optimize for billing hours and maintaining client dependency. SoftDoes optimizes for solving problems and enabling independence. Our senior engineers handle projects directly without layers of account managers and junior staff. We focus on data science and engineering rather than offering every service imaginable. Tacoma companies work with professionals who understand both technical implementation and business context. We build systems designed for your team to own and operate, not perpetual consulting engagements.
How do you price projects?
Pricing depends on project structure and client preference. Fixed price works well for clearly scoped data science engagements with defined deliverables. Time and materials suits exploratory work or ongoing partnerships where requirements evolve. We provide detailed estimates based on thorough discovery conversations. No hidden fees. No surprise overages without prior approval. Tacoma businesses get transparent pricing that reflects actual effort required by experienced professionals, not artificially inflated enterprise rates.
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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 <a href='https://softdoes.com/'>custom software development company</a> 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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