
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
> BUILT FOR BUSINESS IMPACT <
Our data science services focus on measurable outcomes like revenue lift, cost reduction, and better decision making. We don’t build models for the sake of building models, we build them to move numbers that matter. Every model maps to a clear KPI before we write any code. This discipline matters for California companies under pressure to show ROI to boards, investors, and executive teams who need to see real progress.
> PRODUCTION-READY FROM DAY ONE <
How do you make sure models trained in a lab survive real California traffic and real users? We design pipelines, testing frameworks, and monitoring systems so models stay reliable under real load and changing data. Production readiness isn’t an afterthought, it’s built into how we work from the first sprint.
- 02Data Analytics Solutions
> CLEAR METRICS, ONE SOURCE OF TRUTH <
We align finance, operations, product, and growth teams on the same numbers so you stop arguing about whose spreadsheet is right. SoftDoes standardizes definitions, MRR, churn, LTV, utilization, error rates, for California businesses that operate across multiple offices and time zones. When everyone works from the same data visualization layer, meetings get shorter and decisions get better.
- 03Enterprise Data Management
> RELIABLE DATA PIPELINES <
We build pipelines that keep data flowing daily without manual fixes or fragile scripts that break over holidays. SoftDoes designs pipelines around modern tools, Snowflake, BigQuery, dbt, Airflow, Kafka, chosen based on your needs, not vendor relationships. We focus on what works for your data integration requirements, not what’s trendy.
- 04Data Strategy and Governance
> PRACTICAL GOVERNANCE, NOT PAPERWORK <
We avoid heavy, unused documentation and instead design light-weight rules teams can actually follow in daily work. SoftDoes works with engineering, data, and operations leaders to assign ownership and keep data usable without creating bureaucracy that slows everyone down.
> BUILT FOR BUSINESS IMPACT <
Our data science services focus on measurable outcomes like revenue lift, cost reduction, and better decision making. We don’t build models for the sake of building models, we build them to move numbers that matter. Every model maps to a clear KPI before we write any code. This discipline matters for California companies under pressure to show ROI to boards, investors, and executive teams who need to see real progress.
> PRODUCTION-READY FROM DAY ONE <
How do you make sure models trained in a lab survive real California traffic and real users? We design pipelines, testing frameworks, and monitoring systems so models stay reliable under real load and changing data. Production readiness isn’t an afterthought, it’s built into how we work from the first sprint.
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
We build low-latency, auditable systems for California fintech and banking, including risk scoring, transaction monitoring, and fraud detection. Our financial data analytics ensure accurate business intelligence and regulatory reporting.
Healthcare
We provide HIPAA-compliant data science for California clinics, health systems, and digital health startups, focusing on data privacy, clinical workflows, EMR integration, care pathway analytics, and quality reporting.
Education
Our learning analytics platforms support California school districts, universities, and EdTech companies by improving student outcomes through student engagement metrics, content performance analysis, and outcome tracking.
Construction
We deliver data-driven scheduling, cost tracking, subcontractor performance metrics, and site reporting to help in construction and real estate firms operate efficiently, connecting field data, safety metrics, and profitability views.
Technology
For California tech companies, we offer complex SaaS analytics, multi-tenant solutions, product telemetry, and API-based data products. Our expertise includes feature usage tracking, performance metrics, and reliability data.
Startups
We help California startups evolve from MVP metrics to scalable data platforms, supporting fundraising, growth analytics, and product-market fit insights with architectures designed to scale.
Compliance
Our solutions support SOC 2 readiness, audit trails, and control systems to keep California firms prepared for regulatory scrutiny, with logs, approvals, and evidence generation built for smooth audits.
Energy
We provide energy usage analytics, asset performance monitoring, and predictive analytics for California energy and infrastructure companies, focusing on long-term asset reliability and intelligent automation to prevent failures.
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 many of our partners right here in California – 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 data scientists and engineers, not just account managers. This means faster decisions, less information loss, and better tradeoff choices as complexity grows. Discuss modeling approaches and pipeline architecture directly with those building them. Senior data science consultants in California understand both technical work and business context, speeding projects and avoiding communication gaps. Direct access also improves advanced tool selection and architecture decisions, leading to better long-term outcomes.
- 02Predictable Delivery
We break work into clear milestones with defined deliverables and timelines for each analytics or ML phase. You see regular progress through incremental releases and demos, keeping California stakeholders aligned and enabling early course corrections. Transparent tracking via shared project boards and updates lets you monitor status anytime without extra meetings, ideal for busy executives.
- 03Built to Last Past Launch
We design data models, pipelines, and ML systems with maintainability, monitoring, and change in mind. Launch is just the beginning of a system’s useful life. Tests, documentation, and structured handover ensure California teams can keep evolving the system without rewrites. Long-term data platform architecture considers future needs, not just today’s requirements. We build for the team that will maintain this system in two years, which might be us, might be you, or might be someone else entirely. Clean code and clear documentation serve everyone.
- 04No Babysitting Required
Our teams move work forward without clients having to micro-manage or chase updates. Execution doesn’t depend on reminders. Proactive communication means we flag risks early, propose solutions, and keep backlogs prioritized without waiting to be asked. Managed data science services from SoftDoes let you focus on your business while we handle execution. You’ll get regular updates on progress, blockers, and upcoming decisions. But you won’t need to constantly check in to ensure work is happening, that’s our job to drive.
Technologies We Use
Front end
Databases & cloud
Other / Frameworks
Back end
DevOps & tools
Frequently Asked Questions
How is communication handled in data analytics consulting?
A project manager coordinates updates and priorities, while senior engineers and data scientists join key discussions. You get weekly calls, summaries, and tools like Slack for ongoing communication. Direct access to the technical team ensures complex questions are answered quickly. We minimize information loss by avoiding translation layers between decision-makers and builders.
What projects fit SoftDoes’ data science services?
Ideal projects include long-term products, critical analytics systems, ML-powered features, and platforms needing ongoing maintenance and evolution. Examples: revenue analytics for SaaS, patient flow dashboards for health systems, risk engines for fintech, and learning analytics for education.
Do you build MVPs or only large data platforms?
We build MVPs designed to scale into stable production data or ML systems, using the right tools and patterns from the start. We help California startups move fast without costly rebuilds. We don’t build throwaway demos; every line of code serves long-term purposes.
How do you manage scope and changes in analytics projects?
Work starts with clear scope, deliverables, and timelines. Changes are discussed, estimated, and scheduled transparently. Scope management protects timelines and budgets. We help clients understand tradeoffs and make informed choices. This keeps projects on track while allowing business flexibility.
What happens after launch in data science projects?
We maintain, monitor, and extend analytics platforms or ML systems post-launch. Launch is the start of real learning. Post-launch support includes maintenance retainers, roadmap planning, and scaling as businesses grow. Many clients partner with us for years, adding features and improving efficiency.
Who owns the code and IP for data platforms?
You own 100% of code, infrastructure, and IP from day one, including data pipelines, ML models, and dashboards. No licensing or lock-in; your investment stays fully yours. Clear IP ownership builds trust and strong client relationships.
What sets SoftDoes apart in data science services?
Senior engineers, direct communication, predictable delivery, and long-term focus distinguish us from typical agencies. We understand both technical needs and industry-specific business challenges. No generic resources or account managers; you talk directly to builders and decision-makers.
How is pricing structured for data science projects?
Pricing depends on scope, complexity, and outcomes, not just hours. We offer fixed-scope projects and long-term team engagements with transparent pricing. Our focus is delivering value that drives improved operational efficiency and strategic decision making for California companies.
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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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