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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 Raw Data Into Revenue <
Most Kent companies sit on far more information than they actually use. Two thirds of available data goes unused by businesses, which means the majority of potential insight never reaches a decision maker. Our data science services transform raw data into actionable intelligence - from demand forecasting that analyzes historical sales and market trends to predictive models that identify clients likely to leave. We handle the full pipeline: collecting data, cleaning it, engineering features, training ML models, and deploying them into production environments where they actually matter.
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What separates real data science consulting from a slide deck is execution. Our data scientists work with complex datasets from multiple data sources, applying statistical analysis, machine learning algorithms, and deep learning where the problem justifies it. Predictive modeling uses tools like Python or R to forecast business trends, and we ensure every custom model is validated, monitored, and documented before handoff. Natural Language Processing automates reading and extracting information from unstructured data, which is critical for Kent firms dealing with high volumes of documents, correspondence, or survey responses. The result is not a black box. It is a system your team understands and owns.
- Predictive analytics and forecasting
- Supervised and unsupervised ML models
- Statistical modeling and hypothesis testing
- Data mining and pattern recognition
- NLP and text classification
> MAKING GOVERNANCE OPERATIONAL <
How do you move from a policy document to a living governance practice? Data strategies optimize data usage for long term success, and our approach embeds governance directly into your workflows and tooling.
- Compliance audit readiness
- Role based access and security controls
- Process standardization across teams
- Staff training and knowledge transfer
- 02Data Analytics Solutions
> SEE WHAT YOUR NUMBERS ACTUALLY MEAN <
Data visualization creates dashboards to identify trends and anomalies, but only when those dashboards are designed around the right questions. Many Kent businesses rely on spreadsheets or disconnected reports that obscure more than they reveal. Our data analytics solutions consolidate relevant data from across your business operations into interactive dashboards and real time reporting systems. We connect to your existing tools and databases so nothing falls through the cracks. Every metric is tied to a specific business goal, not just displayed for show.
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Real time insights mean your leadership team can respond to shifts as they happen rather than reviewing stale monthly reports. AI driven analytics can reduce reporting time from a month to 30 minutes - that is not a theoretical claim, it is a documented outcome for organizations that move from manual aggregation to automated pipelines. We use business intelligence platforms configured to your exact project requirements so your team makes informed decisions without needing a data engineer on call. The ability to spot hidden insights in large datasets is what turns analytics from a cost center into a competitive advantage.
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What separates real data science consulting from basic reporting is the ability to shape a scalable data strategy, not just analyze past performance. Effective delivery depends on the right tools, clear governance, and methods grounded in computer science as much as statistical analysis and machine learning. We also map the key features your teams actually need so reporting, exploration, and visualization support daily decisions instead of adding noise. In many cases, bringing analytics into a single platform simplifies collaboration and keeps teams aligned around the same numbers. The result is not a black box but a practical system your team can use with confidence.
- Real time dashboards and KPI tracking
- Automated reporting workflows
- Cross platform data integration
- Advanced analytics and trend detection
- Self service visualization for teams
- 03Enterprise Data Management
> YOUR DATA INFRASTRUCTURE SHOULD NOT BE AN AFTERTHOUGHT <
Everything downstream - every model, every dashboard, every insight - depends on how well your data is stored, organized, and moved. Kent companies often inherit fragmented systems: a CRM here, an ERP there, flat files in between. Our data engineering team designs and implements warehousing, ETL processes, and integration layers that bring order to that chaos. Data lakes enable quick segregation of data for analysis, and we architect them so your analysts can query without waiting on IT. We handle cloud migration, hybrid setups, and database optimization tailored to your volume and latency needs. A properly managed data estate means your organization can ingest from multiple data sources, maintain data quality, and retrieve what it needs in seconds rather than hours. We work with modern stacks - Snowflake, BigQuery, Airflow, dbt - alongside local or hybrid hosting options relevant to Kent firms that have data residency requirements. Whether you are consolidating legacy databases or preparing infrastructure for big data workloads, we ensure the architecture is modular, documented, and ready for what comes next.
- Data warehousing and lake architecture
- ETL pipeline design and automation
- Cloud and hybrid migration
- Database performance optimization
- Cross system data integration
- 04Data Strategy & Governance
> FRAMEWORKS THAT PROTECT AND UNLOCK YOUR DATA <
A robust data strategy can drive business transformation, but only when it is grounded in your actual operating context. Data governance frameworks ensure data accuracy and compliance with evolving AI regulation. Effective data governance reduces risks associated with data management while improving data quality to meet business needs. Organizations with strong data governance can unlock data's full potential, which is especially critical for Kent firms in regulated sectors or those handling sensitive customer information.
- Governance policy and framework design
- Regulatory compliance
- Data quality assessment and remediation
- Metadata and master data management
- Strategic data roadmap creation
> Turn Raw Data Into Revenue <
Most Kent companies sit on far more information than they actually use. Two thirds of available data goes unused by businesses, which means the majority of potential insight never reaches a decision maker. Our data science services transform raw data into actionable intelligence - from demand forecasting that analyzes historical sales and market trends to predictive models that identify clients likely to leave. We handle the full pipeline: collecting data, cleaning it, engineering features, training ML models, and deploying them into production environments where they actually matter.
--
What separates real data science consulting from a slide deck is execution. Our data scientists work with complex datasets from multiple data sources, applying statistical analysis, machine learning algorithms, and deep learning where the problem justifies it. Predictive modeling uses tools like Python or R to forecast business trends, and we ensure every custom model is validated, monitored, and documented before handoff. Natural Language Processing automates reading and extracting information from unstructured data, which is critical for Kent firms dealing with high volumes of documents, correspondence, or survey responses. The result is not a black box. It is a system your team understands and owns.
- Predictive analytics and forecasting
- Supervised and unsupervised ML models
- Statistical modeling and hypothesis testing
- Data mining and pattern recognition
- NLP and text classification
> MAKING GOVERNANCE OPERATIONAL <
How do you move from a policy document to a living governance practice? Data strategies optimize data usage for long term success, and our approach embeds governance directly into your workflows and tooling.
- Compliance audit readiness
- Role based access and security controls
- Process standardization across teams
- Staff training and knowledge transfer
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Risk modeling, fraud detection, and regulatory reporting rely on precise data analysis. We assist financial institutions with predictive analytics and statistical modeling for lending, compliance, and portfolio management.
Healthcare
Connecting clinical and operational data improves patient outcomes. Our data science solutions support medical analytics, resource planning, and research management while ensuring privacy and governance compliance.
Education
Analyzing enrollment and program data helps unlock student success. We partner with educational organizations to turn administrative data into actionable insights and measure effectiveness.
Construction
Data-driven decisions improve project timelines, resource use, and cost control. Our analytics platforms help construction firms optimize inventory, track progress, and forecast risks.
Technology
Massive datasets from software metrics and user behavior require advanced analytics. We help technology companies apply machine learning to product development, infrastructure monitoring, and customer experience.
Startups
Startups need data-driven insights without enterprise costs. Our scalable data science consulting services help validate hypotheses, track growth, and support informed decisions from day one.
Compliance
Accurate, auditable data is vital in regulated environments. Our compliance analytics automate risk assessment, monitor policies, and generate reports that meet regulatory demands without slowing operations.
Energy
Energy organizations rely on real-time analysis of supply, demand, and equipment. Our data platforms apply predictive analytics to reduce failures, cut waste, and plan capacity confidently.
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.
Let`s Talk About Your Data Challenges
You should reach out to SoftDoes. Whether you need a focused pilot to test a single hypothesis or a comprehensive data science engagement spanning strategy through deployment, we meet you where you are. Contact us for a direct conversation about your project needs and how we can help your organization make smarter decisions with the data you already have.

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 Kent, 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
Your project is handled by experienced data scientists and engineers, not delegated down a chain. Every conversation happens with the people writing the code and training the models. That means faster feedback loops, fewer misunderstandings, and higher quality output. There is no account manager translating your requirements through three layers of abstraction. You get direct access to technical expertise from the first call to final deployment. This approach keeps projects focused, efficient, and honest about what is and is not possible.
- 02Predictable Delivery
We define clear milestones, timelines, and deliverables before any work begins. Each sprint has a measurable outcome so you always know where things stand. Our structured methodology means surprises are rare and course corrections happen early, not at the finish line. Predictable delivery is not just about hitting dates. It is about maintaining consistent communication and documented progress throughout the process. That discipline is what separates a reliable engineering partner from a vendor who disappears between status meetings.
- 03Built to Last Past Launch
Data science solutions that only work during a demo are worthless. We design systems with maintainability, modularity, and documentation baked in from the start. Every ML pipeline, ETL process, and dashboard is architected for the long term, not just the launch date. Monitoring, alerting, and retraining workflows are part of the deliverable, not an afterthought. We think about data drift, changing requirements, and team turnover before they become problems. The goal is a system your organization can operate and evolve independently.
- 04No Babysitting Required
Our systems are designed to run without constant hand holding. Comprehensive documentation, automated monitoring, and robust error handling mean your internal team can manage day to day operations confidently. We test thoroughly, log extensively, and create runbooks for every critical process. When something needs attention, alerts tell you exactly what happened and what to do. The result is operational confidence, not dependency. You should not need to call your data science partner every time a model needs updating or a report looks unusual.
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 in Kent?
We use a combination of scheduled syncs, async updates, and shared project boards to keep everyone aligned. Typical cadence is weekly progress reviews with your team plus ad hoc technical discussions as needed. Every deliverable is documented in plain language alongside the technical detail so both executives and engineers understand what was done. We assign a dedicated point of contact on our side, but you always have direct access to the data scientists doing the work. Communication preferences - Slack, Teams, email, video - are set during onboarding. We adapt to your workflow, not the other way around.
What types of data science projects are a good fit for SoftDoes?
We work across the entire data science lifecycle, from data exploration and pipeline construction to model deployment and monitoring. Projects range from focused predictive analytics engagements to full enterprise data platform redesigns. If your company has a question that data can answer or a process that data can improve, it is likely a fit. We serve clients across various industries in Kent and beyond, from early stage startups to large enterprises with legacy systems. Data science service providers range from AI consultancy firms to technology partners, and we sit firmly on the engineering side. Our preference is projects where measurable outcomes matter more than polished presentations.
Do you handle MVP data solutions or only large analytics systems?
Both. We frequently start with a focused MVP, a single predictive model, a proof of concept dashboard, or an initial data pipeline, to validate assumptions before committing to a larger engagement. This approach reduces risk and lets your organization see real results quickly. From there, many clients expand into broader data science solutions as the value becomes clear. Businesses choose between local boutique agencies and larger global consultancies, and we offer the technical depth of the latter with the responsiveness of the former. MVP engagements also help identify data quality issues or infrastructure gaps early, which saves time and money downstream.
How do you handle scope changes in data science projects?
Scope changes are a normal part of any analytical engagement because analyzing data often reveals unexpected patterns or new questions. We use an iterative development methodology that accommodates changes without derailing timelines. When scope shifts, we assess impact together, adjust milestones transparently, and document the change so both sides stay aligned. We do not treat every small adjustment as a formal change order, but significant additions are scoped and priced clearly. Our project management approach keeps flexibility and accountability in balance. The goal is to adapt to real findings while protecting your timeline and budget.
What ongoing support is available after data science implementation?
After deployment, we offer monitoring, model retraining, and system maintenance on terms that match your project needs. Machine learning model deployment is often overlooked in projects, so we treat post launch operations as part of the core engagement. Predictive analytics continuously optimizes AI and ML models, and we set up automated retraining pipelines where appropriate. Support agreements range from ad hoc advisory to fully managed services depending on your internal capability. We also conduct knowledge transfer sessions so your team can handle routine operations independently. Every engagement ends with complete documentation, runbooks, and access credentials, nothing is held back.
Will our Kent company own the data models and intellectual property?
Yes. Everything we create - code, trained models, documentation, configurations, belongs to you upon delivery. We do not retain proprietary rights or insert licensing clauses that restrict your usage. All source code is versioned, commented, and stored in your repositories from day one. This includes custom models, data pipelines, and any tooling we develop during the engagement. Full IP ownership ensures your data science investment remains an asset your organization controls. There is no vendor lock in and no hidden dependency on our continued involvement.
What makes SoftDoes different from a typical data science agency?
Typical agencies often rely on junior analysts running templated analyses or generic dashboards. At SoftDoes, senior engineers handle your data science consulting services directly, from initial architecture decisions through production deployment. We focus on measurable outcomes tied to your business goals, not deliverables designed to look impressive in a review meeting. Our work spans data engineering, machine learning, analytics, and governance. Honest assessment paired with rigorous engineering is what sets us apart.
How do you approach data science project pricing in Kent?
We start with a detailed discovery session to understand your data landscape, project requirements, and expected outcomes. Based on that, we propose either a fixed scope engagement or a time and materials arrangement depending on the complexity and clarity of the work. Every estimate is broken down by phase so you can see exactly where effort is allocated. Data strategy consulting helps align data with business goals, and our pricing reflects that strategic value rather than just hours logged. We do not pad estimates with unnecessary overhead or bury costs in vague line items. Transparent, straightforward pricing is something Kent businesses consistently tell us they appreciate about working with SoftDoes.
Benefits of Strategic Technology Consulting for Enterprises
Web development
For organizations navigating rapid growth, compliance pressure, or aging systems, strategic technology consulting offers a structured path from where you are to where your business needs to go.
How SoftDoes Builds Data‑Driven Systems for Modern Energy Operations
Energy
Oil and gas software development now centers on AI, cloud computing, and data management to enhance efficiency across upstream, midstream, and downstream operations.
How SoftDoes Builds Learning Platforms That Actually Fit Your Business
EdTech
Every organization reaches a point where generic learning management systems stop keeping up. When corporate training programs span multiple regions, compliance demands grow, and off the shelf lms tools can't integrate with your stack, it's time to think differently.


































