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6
years on the market
73%
new clients come from referrals
510+
finished projects
80+
software engineers
Services we offer
- 01Business Analytics
> Business Analytics <
Business analytics sits at the center of our Denver work. This is where raw data transforms into patterns leadership can act on. Leveraging advanced data analytics, we utilize sophisticated data science techniques, including predictive models, AI, and real-time data processing, to improve decision-making and operational efficiency for Denver organizations. Business analytics means turning raw transactions, events, and customer signals into clear patterns. We design reporting layers so every metric has a single definition across departments. KPI structures eliminate the confusion of marketing using one formula while finance uses another. Decision workflows embed analytics into regular operations rather than treating reports as occasional supplements.
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Denver teams often need one environment where marketing, finance, and operations share the same numbers. Data driven decision making becomes a daily habit when the infrastructure supports it. We combine descriptive, diagnostic, and predictive models to uncover actionable insights instead of isolated reports. Predictive analytics uses statistical models and machine learning algorithms to forecast future outcomes based on historical data, helping businesses anticipate customer behavior and optimize operations.
> BETTER QUESTIONS, BETTER ANSWERS <
What decisions can you not yet answer with current data? SoftDoes helps frame sharper business questions, then structures data models to answer them. Many organizations track dozens of metrics without clarity on which ones matter. We facilitate working sessions that link every metric to a concrete lever such as acquisition cost, retention rate, or margin. Strategic decision making improves when everyone agrees on what the numbers mean. Our experts avoid vanity metrics and focus on a compact, trusted analytics core. Key performance indicators should be few enough to memorize but meaningful enough to drive action. This discipline reduces noise and lets teams move faster while still relying on solid data. Organizations increasingly depend on predictive analytics to remain competitive, as it allows them to identify trends and automate decision making processes.
- 02IT Consulting
> IT consulting and analytics advisory in Denver <
SoftDoes operates as a long term analytics and IT consulting partner for Denver organizations. Consulting here means architecture reviews, tool selection, roadmap creation, and analytics strategy. We assess existing data pipelines, BI tools, and integration patterns. Recommendations stay pragmatic. Nobody needs a complete platform replacement when targeted improvements solve the actual problem. Business consulting from our team aligns engineering, analytics, and leadership on a single technical direction. Key skills in recent job postings for business analytics include AI, Generative AI, Snowflake, SQL, and modern cloud architectures like Microsoft Fabric. Our consultants understand these tools and can recommend what fits your specific situation. Advanced analytics becomes an outcome of coherent strategy, not a project abandoned after the first vendor leaves.
- 03Digital Transformation
> Digital transformation through data in Denver <
Our digital transformation work centers on data, automation, and analytics services. This is not about replacing everything. The goal is making existing systems work together intelligently. We modernize legacy systems, move reporting to cloud platforms, and embed analytics in everyday tools. Cloud based data platforms are increasingly adopted by organizations to manage and analyze large volumes of data, as traditional on premise infrastructure often struggles to meet storage and processing demands. Data analytics, artificial intelligence, and business intelligence operate together in this transformation. SoftDoes focuses on measurable outcomes. Shorter cycle times. Fewer manual steps. Reliable metrics that update without someone copying numbers between spreadsheets. Denver teams often need to connect on site operations with remote systems. We engineer those connections with data security and reliability as priorities. Innovative solutions emerge from understanding constraints, not ignoring them.
- 04Product Management & Product Ownership
> Product management and product ownership with embedded analytics <
Product management connects directly to data driven decisions for digital products and internal tools. Features should ship based on evidence, not opinions. SoftDoes product leaders work with Denver companies to define analytics requirements and experiment frameworks. We instrument products to capture meaningful insights about usage, retention, and engagement. A/B tests reveal what actually works. Feature instrumentation shows which capabilities customers ignore and which they love.
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Product roadmaps align with data insights. Retention analysis influences what gets prioritized. We treat analytics as a core feature, not an afterthought report. This approach helps local teams choose the next release based on clear, quantitative signals. Businesses are hiring for roles such as Business Intelligence Analysts, Data Visualization Specialists, and Revenue Operations Consultants in Denver, and our product work creates the infrastructure these roles need.
- 05Database Design & Development
> Database design and development for analytics readiness <
Thoughtful database design matters for fast, trustworthy data analysis. Poor schemas create slow queries, inconsistent numbers, and frustrated analysts. SoftDoes data engineering experts model entities, relationships, and history tracking to support analytics, reporting, and AI. Many Denver firms outgrow improvised spreadsheets and legacy schemas. We restructure them for long term reliability. Data analysis becomes faster when the underlying structure anticipates common questions. Business intelligence tools perform better against well designed schemas.
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Query performance improves dramatically with proper indexing and normalization. Data governance considerations include access controls, audit logging, and retention policies. Advanced analytics depends on data integrity at the foundation level. We address security requirements so that sensitive information stays protected while remaining accessible for legitimate analysis.
- 06Code Audits
> Code audits and predictive analytics platform reviews <
Our engineers conduct deep code and architecture audits for analytics applications, ETL jobs, and dashboards. Sometimes the problem is not strategy. It is broken code nobody has examined in years. We inspect data pipelines, transformations, and calculation logic for accuracy and maintainability. Hidden technical debt accumulates in scripts nobody understands. Silent data errors corrupt reports without anyone noticing. Inconsistent business rules mean the same metric shows different values depending on which dashboard you check. Outcomes include a prioritized remediation list, security notes, and performance suggestions. Actionable insights from audit findings let engineers address issues immediately rather than wondering where to start. Data preparation pipelines receive particular attention since errors there propagate everywhere downstream.
> Business Analytics <
Business analytics sits at the center of our Denver work. This is where raw data transforms into patterns leadership can act on. Leveraging advanced data analytics, we utilize sophisticated data science techniques, including predictive models, AI, and real-time data processing, to improve decision-making and operational efficiency for Denver organizations. Business analytics means turning raw transactions, events, and customer signals into clear patterns. We design reporting layers so every metric has a single definition across departments. KPI structures eliminate the confusion of marketing using one formula while finance uses another. Decision workflows embed analytics into regular operations rather than treating reports as occasional supplements.
—
Denver teams often need one environment where marketing, finance, and operations share the same numbers. Data driven decision making becomes a daily habit when the infrastructure supports it. We combine descriptive, diagnostic, and predictive models to uncover actionable insights instead of isolated reports. Predictive analytics uses statistical models and machine learning algorithms to forecast future outcomes based on historical data, helping businesses anticipate customer behavior and optimize operations.
> BETTER QUESTIONS, BETTER ANSWERS <
What decisions can you not yet answer with current data? SoftDoes helps frame sharper business questions, then structures data models to answer them. Many organizations track dozens of metrics without clarity on which ones matter. We facilitate working sessions that link every metric to a concrete lever such as acquisition cost, retention rate, or margin. Strategic decision making improves when everyone agrees on what the numbers mean. Our experts avoid vanity metrics and focus on a compact, trusted analytics core. Key performance indicators should be few enough to memorize but meaningful enough to drive action. This discipline reduces noise and lets teams move faster while still relying on solid data. Organizations increasingly depend on predictive analytics to remain competitive, as it allows them to identify trends and automate decision making processes.
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
SoftDoes configures automated anomaly detection using machine learning models trained on transaction patterns. Financial institutions need metrics and alerts understandable to non technical executives.
Healthcare
In industries like healthcare, predictive analytics supports identifying disease risks and improving treatment outcomes by analyzing patient data. Data analytics navigates regulatory constraints while delivering valuable insights.
Education
SoftDoes helps build a data driven organization where faculty and administrators trust analytics outputs. Complex datasets from multiple student information systems consolidate into unified views.
Construction
Data analysis reveals cost overruns and schedule delays. SoftDoes connects field data with reporting tools. Supply chain optimization reduces material delays and excess inventory.
Technology
Cloud native architectures and modern data stacks like Snowflake integrate with existing development workflows. Natural language processing applications require specialized data pipelines and model management.
Startups
Data analysts from SoftDoes engage without requiring large internal teams to begin. We adapt to changing product directions without heavy processes. Data driven solutions for startups focus on speed and flexibility.
Compliance
SoftDoes sets up logs, retention policies, and change tracking for analytics data. Data governance tools help manage data quality, lineage, and compliance, supporting data stewardship and metadata management effectively.
Energy
Actionable insights drive optimization decisions about maintenance schedules and capacity allocation. Long time horizon data storage supports trend analysis across years rather than months.
Transparency at each stage
Discovery & Alignment
We audit your infrastructure and goals to find technical debt and create a clear, scalable transformation roadmap.
Technical Strategy
Senior engineers select optimal stacks and patterns, ensuring architectural reasoning for long-term scalability.
Iterative Development
Step-by-step solution detailing with regular demos of diagrams and docs to track every milestone as it happens.
Careful Validation
We conduct risk assessments and compliance audits to ensure the stability and viability of the future system.
Implementation Support
Full architectural oversight and team support during rollout to ensure precise execution of the designed vision.
Your organization ready generates the data needed for better decisions
Whether that data reaches the right people in useful form. SoftDoes works with Denver leaders to close that gap through business analytics and data analytics implementations that respect your existing systems. Contact us for a 30 minute discovery session focused on one decision you struggle to make with current information.

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 Denver, CO – 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
SoftDoes projects in Denver start with senior engineers experienced in data analytics, business intelligence, and data engineering. You interact directly with people who understand architecture, code, and product implications. Account managers do not filter technical conversations. This structure shortens feedback loops and yields more precise, actionable insights. Senior talent anticipates integration issues across analytics platforms and operational systems before they cause delays. Complex datasets require judgment that comes from experience. Advanced analytics implementations benefit from engineers who have seen similar challenges before.
- 02Predictable Delivery
SoftDoes plans and manages work so Denver clients can rely on clear timelines and outcomes. Roadmaps show what happens each phase. Iteration plans break work into reviewable chunks. Transparent status reports document progress without requiring meetings to extract information. We accommodate both short initiatives and long running engagements without sacrificing predictability. Accurate estimates depend on proper data analysis during discovery, so we invest time upfront understanding what exists. Data driven decisions guide how we prioritize tasks when tradeoffs emerge. Analytics services proceed on schedule because we address blockers before they become delays.
- 03Built to Last Past Launch
We design analytics architectures, dashboards, and applications for long term maintainability. Coding standards keep logic readable. Clear documentation explains decisions. Automated tests catch errors before deployment. Modular data pipelines allow changes without rebuilding everything. This approach reduces the risk of fragile dashboards and manual reporting work later. A data driven organization needs infrastructure that survives staff turnover and evolving requirements. Denver clients can extend systems independently if they choose. Successful outcomes depend on solutions that keep working after the initial project ends. Critical thinking during design prevents expensive rework later.
- 04No Babysitting Required
SoftDoes teams operate with high autonomy, requiring minimal oversight from client staff. Proactive communication keeps everyone informed without constant check ins. Clear meeting agendas prevent wasted time. Concise written updates document decisions and next steps. We anticipate issues in data pipelines or analytics tools and propose options without waiting for direction. Analytics services move forward because our team takes initiative. Data scientists and engineers communicate directly about technical matters. This approach lets Denver leaders stay focused on business strategy instead of micromanaging vendors. Significant expertise means we know what questions to ask ourselves.
Frequently Asked Questions
How is communication handled?
Weekly synchronous meetings establish regular check in points. Daily asynchronous updates through Slack or email keep projects moving between meetings. Analytics updates share through dashboards and written summaries so everyone sees the same numbers. Business analytics progress appears in shared BI tools rather than buried in email attachments. Denver clients get a single responsible lead plus direct access to specialists when needed. Asynchronous summaries document decisions and data driven insights so nothing gets lost. We match communication intensity to project phase. Discovery requires more conversation. Implementation requires more focused execution time.
What types of projects are a good fit for SoftDoes?
We work on both short and long projects, from targeted data analysis to end to end analytics platforms. Migrating reports from legacy systems to modern business intelligence tools fits our capabilities. Implementing new machine learning models for customer preferences works well. Creating advanced analytics infrastructure for organizations that have outgrown spreadsheets matches our strengths. Actionable insights and data driven decisions remain the goal regardless of project duration. Complexity and need for thoughtful engineering are the main fit criteria. We step into existing systems rather than insisting on full rewrites. Multiple industries benefit from this flexibility.
Do you provide independent audits or only end to end consulting?
We offer both independent code and data audits and broader consulting work. Audits may cover ETL scripts, dashboards, AI models, or data engineering pipelines. Data analytics and business intelligence implementations receive thorough examination for accuracy and maintainability. Findings get documented with prioritized, actionable recommendations. Some Denver clients start with an audit and later extend into implementation phases. Others want only the assessment. We adapt to what you need without pushing unnecessary scope. Transform complex data challenges into clear remediation plans.
How do you handle scope and changes?
SoftDoes manages scope using written change notes, impact estimates, and updated roadmaps. Changes in data sources, reporting needs, or analytics models are common and expected. No project survives first contact with real data unchanged. Data driven decisions guide how we prioritize changes when multiple requests compete for attention. We discuss tradeoffs transparently so stakeholders see impact on time and effort. Enhance operational efficiency by making scope decisions quickly rather than letting ambiguity create delays. Informed decisions about scope prevent budget surprises.
Do you provide implementation oversight after the strategy is ready?
We remain involved after strategy, reviewing code, schemas, and dashboards for alignment with original intent. Advanced analytics implementations benefit from ongoing attention as they encounter real world data. Analytics services include technical review sessions during execution phases. SoftDoes can coach internal teams, attend key technical sessions, and review pull requests. Oversight continues until data driven organization routines are in place. This avoids a gap between slideware strategies and real systems. Valuable insights emerge from watching implementation unfold and correcting course as needed.
Will we own the code and IP?
Clients own custom code, configuration, and data models created for them. This is explicit in our agreements. Exceptions exist only for pre existing accelerators that we bring to engagements, and we disclose those upfront. Data analytics logic, transformation rules, and dashboard configurations belong to you. This applies equally to Denver and remote clients. No lock in exists for core business logic. Data preparation code, statistical models, and reporting infrastructure remain yours to modify or extend. Customer data never leaves your control.
What makes SoftDoes different from a typical agency?
SoftDoes operates as a technical partner with senior engineers and product thinkers, not account managers reading scripts. Depth in business analytics, data engineering, AI, and custom software distinguishes our work from surface level reporting implementations. Our company specializes in complex projects that require judgment. Actionable insights and business intelligence emerge from genuine technical understanding. We work inside complex environments without requiring simplified interfaces. Autonomy and clarity define our engagement style. Targeted marketing campaigns for analytics vendors focus on features. We focus on whether those features solve your actual problem.
How do you price projects?
We use a mix of project based estimates and longer term engagement models, depending on analytics scope. Pricing reflects complexity of data sources, integration requirements, and advanced analytics needs. Simple dashboard work costs less than building a complete data platform. Data driven decisions inform how we align budget with expected business growth impact. Transparency in assumptions helps everyone understand what drives costs. Regular review points as information becomes clearer allow adjustments. A multinational retailer uses data to manage its inventory by analyzing historical sales data to anticipate spikes in demand for certain products. Projects with that level of complexity require different investment than basic reporting.
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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