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
> DATA SCIENCE SERVICES <
Data science services use statistical techniques, machine learning, data analysis, and domain logic to answer questions that reports alone cannot solve. They help teams identify patterns, forecast demand, analyze customer behavior, and turn massive data sets into actionable insights. Rochester, New York, hosts a mix of academic institutions and consulting firms, so local teams often have access to strong research talent but still need practical engineering to move ideas into daily use. Our work connects data collection, model design, data management, and business use cases in one process. Data science projects in Rochester are influenced by a history in optics, imaging, healthcare, and manufacturing, which means accuracy, traceability, and careful data handling matter. SoftDoes brings senior technical skill to the full research process, from collecting data to interpreting data and putting the right data into tools that users can trust.
- Predictive model planning
- Raw data preparation
- Pattern detection workflows
- Model monitoring setup
- Decision support systems
> PREDICTIVE MODELING EXPERTISE <
How can forecasting, market research, and machine learning help a Rochester team plan with less guesswork? Predictive modeling uses historical data, market trends, and relevant data from current operations to estimate future outcomes, test assumptions, and support decisions before problems become expensive.
- Demand forecasting models
- Risk management scoring
- Inventory level prediction
- Future trend analysis
- 02Data Analytics Solutions
> DATA ANALYTICS SOLUTIONS <
Analytics turns relevant data into better insights for daily decision making. Data analytics services help businesses make data informed decisions by connecting data sources, cleaning data sets, and presenting insights in a form leaders can use without waiting for manual reports. Business intelligence helps in decision making processes, and business intelligence focuses on analyzing historical data so teams can understand past trends before reacting to future trends. Rochester teams often need analytics when existing tools cannot explain market trends, sales changes, inventory levels, or operational gaps. Business intelligence tools often use structured data, while big data analytics supports real time insights from larger and more varied sources.Â
- KPI dashboard design
- Historical data analysis
- Customer behavior reports
- Market research views
- Operational trend tracking
- 03Enterprise Data Management
> ENTERPRISE DATA MANAGEMENT <
Enterprise data management organizes databases, platforms, access rules, metadata, and storage so teams can find and trust the right data. It solves the common problem of raw data sitting in disconnected systems with no clear owner, weak lineage, or inconsistent formats. Large enterprises and growing teams in Rochester need this foundation before they can analyze complex data, visualize data, or rely on machine learning. Our data management work covers cloud services, integration, data collection workflows, and governance practices that fit the way a business actually operates. Big data can handle petabytes of data, and big data technologies include Hadoop and Spark, although many modern teams now use cloud warehouses, lakehouse patterns, and orchestration tools. The goal is not more tools for their own sake, but a clean process that lets users access relevant data without risky shortcuts.
- Data source mapping
- Metadata and lineage
- Access control planning
- Cloud warehouse setup
- Database modernization
- 04Data Strategy & Governance
> DATA STRATEGY AND GOVERNANCE <
Data strategy and governance define how data is collected, stored, shared, protected, and used for decisions. This solves unclear ownership, poor data quality, compliance gaps, and projects that start with enthusiasm but fail because nobody agrees what the data means. Rochester companies often work with sensitive records, research data, partner data, and regulated information, so governance cannot be added after launch. SoftDoes helps set policies, roles, data quality checks, and review steps that make analytics safer and easier to maintain. Evaluating data science firms requires assessing expertise and infrastructure capacity, while client testimonials and case studies are important for evaluating data science firms before sensitive work begins.
- Data quality rules
- Stewardship role design
- Compliance workflow mapping
- Audit ready documentation
- Ethical use review
> DATA SCIENCE SERVICES <
Data science services use statistical techniques, machine learning, data analysis, and domain logic to answer questions that reports alone cannot solve. They help teams identify patterns, forecast demand, analyze customer behavior, and turn massive data sets into actionable insights. Rochester, New York, hosts a mix of academic institutions and consulting firms, so local teams often have access to strong research talent but still need practical engineering to move ideas into daily use. Our work connects data collection, model design, data management, and business use cases in one process. Data science projects in Rochester are influenced by a history in optics, imaging, healthcare, and manufacturing, which means accuracy, traceability, and careful data handling matter. SoftDoes brings senior technical skill to the full research process, from collecting data to interpreting data and putting the right data into tools that users can trust.
- Predictive model planning
- Raw data preparation
- Pattern detection workflows
- Model monitoring setup
- Decision support systems
> PREDICTIVE MODELING EXPERTISE <
How can forecasting, market research, and machine learning help a Rochester team plan with less guesswork? Predictive modeling uses historical data, market trends, and relevant data from current operations to estimate future outcomes, test assumptions, and support decisions before problems become expensive.
- Demand forecasting models
- Risk management scoring
- Inventory level prediction
- Future trend analysis
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
For financial institutions, risk management depends on clean data, fast analysis, and fraud signals that can be reviewed. SoftDoes applies data analytics to scoring, reporting, and audit ready insight.
Healthcare
Sensitive records require careful data management, privacy controls, and clear research logic. Healthcare providers use data science for predictive health models, cohort formation, and better operations.
Education
Campus teams need better access to relevant data across learning, operations, and research. We help education groups use data visualization, analytics, and secure reporting for clearer planning.
Construction
Project teams can use data analysis to compare schedules, costs, materials, and site performance. SoftDoes turns raw data into interactive dashboards that support safer, more informed decisions.
Technology
Product teams often need machine learning, customer behavior analysis, and better data sources for roadmap choices. We help technology groups turn platform data into actionable insights.
Startups
Early teams need focused analytics without excess process. SoftDoes helps startups connect data collection, market research, and product signals so founders can make decisions based on evidence.
Compliance
Regulated teams need data governance, audit trails, and controlled access before analytics can be trusted. We align data management, metadata, and documentation with review requirements.
Energy
Operational teams can use big data, sensor data, and forecasting to improve asset planning. Predictive maintenance analyzes sensor data to anticipate equipment failures and reduce avoidable downtime.
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.
- Finance
- Energy
Deepwater Insights
Deepwater Insights delivers proprietary alternative data and niche research on the offshore drilling and energy sector to institutional investors, family offices, and high-net-worth individuals who require coverage that larger firms don't provide.- 100%Brand Continuity
- 2Platform Distribution
- 100%Paywall-Ready Content
- Real Estate
The building buyer
The Building Buyer is a Florida-based real estate investment firm co-founded by Dylan Troiano and Charles Hanlin. They acquire single-family, multifamily, and commercial properties across South Florida and beyond, with a focus on motivated seller opportunities.- 18Weekly hours saved
- 2+Years Ongoing partnership
- 1Fully owned Platform
- Education
- Non-Profit
WOVEN & NICE
Woven is a Spring Valley, NY nonprofit running the NICE program (New Training Inclusive Community Environment) in four Rockland County schools. Their team supports students through restorative practices, mediation, and professional development for teachers and administrators.- 4Schools Served
- 4Weeks to Launch
- 1STTime on Upwork
- Healthcare
CareInTouch
CareInTouch is a Bay Area home health agency providing skilled nursing and therapy services to patients referred from hospitals and clinics. With over 100 staff, they operate in one of the most complex and compliance-driven healthcare markets in the country.- 40%Â Reduction In Billing Errors
- 100+Staff Operations Managed
- 0Missed Compliance Deadlines
- Startup
Sparkle The Cleaning Service
Sparkle The Cleaning Service is a Detroit-area residential cleaning company with 10 years in business, connecting homeowners with vetted, insured independent cleaners through a subscription-based marketplace platform.- 75%Â Platform Transparency
- 2XPlatform Growth
- 40%Higher User Retention
- Startup
DineMate
DineMate is a Maryland-based dating and connecting platform built around verified profiles, restaurant reservations, and prepaid dining experiences. Founded to bring back authenticity to how people meet and connect.- 60%Â Time Saved
- 99%System Reliability
- 40%Higher User Retention
- Healthcare
Prior Authorization AI
Prior Authorization AI is a healthcare automation startup building AI-powered tools to streamline prior authorization for Medicare and Medicaid medical transportation providers in New Jersey.- 16Weekly hours saved
- 63%Admin time reduced
- 43%Fewer submission errors
- Education
Grand Central Language Services
Grand Central Language Services provides translation and interpretation for organizations operating in complex, multilingual environments. As demand grew, internal workflows became harder to manage. SoftDoes built a custom platform to streamline coordination, improve visibility, and support scalable operations.- 72%Workflow Reduction
- 48%Coordination Reduction
- 83%Visibility Increase
- Healthcare
FMY Orthodontics
FMY Orthodontics, a multi-location practice in West Tennessee, partnered with SoftDoes to replace a spreadsheet-based financial workflow with a custom web platform. The goal was to simplify how staff present treatment financing while allowing patients and families to review and complete decisions remotely.- 60%Workflow Reduction
- 75%Remote Adoption
- 5Locations Aligned
FORBIDDEN ALCHEMY
Forbidden Alchemy is a Shopify-based e-commerce store created for a bold, underground fashion brand rooted in metalcore and occult aesthetics. The goal was to deliver a high-impact online experience that reflects the brand’s dark identity while providing smooth, conversion-focused shopping for mobile-first users.- 68%Faster Checkout
- 41%Repeat Customers
- 35%Cart Abandonment
Bokeyno Motorsports
Bokeyno Motorsports is the leading mobile installer of vertical doors for high-performance cars. This Shopify website isn’t just about services—it’s a bold statement of power, style, and expertise. With a sharp layout, strong visuals, and real-world case studies, the site delivers all the information car enthusiasts need to book confidently and instantly.- 54%Booking Requests
- 43%Lead Conversion
- 32%Qualified Inquiries
ai document processing platform
A comprehensive talent solution designed to help companies attract, hire, and retain top talent more effectively. The platform combines AI-powered recruitment technology with employee financial wellbeing programs, enabling smarter hiring decisions while supporting employees’ financial stability and long-term engagement.- 62%Faster Processing Time
- 78%Less Manual Work
- 35%Improved Accuracy
WHAT IT WAS LIKE TO BUILD TOGETHER
Direct feedback from founders and product owners – including our partners right here in Rochester, NY – 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 with senior engineers, data scientists, and architects who can discuss architecture, data sets, MLOps, analytics, and business constraints without translation through extra layers. That matters when a model depends on data quality, access rules, and infrastructure decisions. We keep communication direct, so questions about databases, pipelines, or machine learning logic are answered by people doing the technical work. Rochester teams often value clear relationships and practical expertise over vague AI language. SoftDoes keeps the focus on useful outcomes, not presentation theater.
- 02Predictable Delivery
Data science work becomes easier to manage when the process is visible. We break projects into discovery, data review, engineering, modeling, validation, deployment, and monitoring steps. Each milestone has a clear purpose, such as confirming data sources, checking feature quality, or testing model accuracy against business needs. This helps CTOs and operations leaders see where time is going and what decisions are needed.
- 03Built to Last Past Launch
A useful data science system must survive real users, changing data, new questions, and model drift. We document pipelines, transformations, model assumptions, validation results, and ownership rules so your team is not left guessing later. Deployment is treated as part of the work, not a final handoff. MLOps monitoring and maintenance help show when data changes, when predictions weaken, or when retraining is needed. The result is a system your team can understand, operate, and improve with less dependency on hidden knowledge.
- 04No Babysitting Required
SoftDoes works as a self directed technical partner. We ask for the context we need, confirm assumptions early, and raise risks before they turn into blockers. If data sources are incomplete, if existing tools are limiting the process, or if a model is not ready for production, we say so plainly. Our team handles the work with enough structure that you do not need to chase every task. You stay informed, while engineers keep the project moving.
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?
Communication is direct, structured, and tied to the work being done. For data science services in Rochester, we usually set a regular review rhythm for data findings, engineering progress, model results, and open decisions. You see what has changed, what was learned, and what needs approval. Technical notes are written clearly enough for business leaders and detailed enough for engineering teams. When a decision affects security, cost, data access, or users, we explain the tradeoffs before moving forward.
What types of projects are a good fit for SoftDoes?
SoftDoes is a good fit for focused analytics work, data engineering tasks, machine learning pilots, BI platform work, and larger data science programs. We work with teams that need practical technical skill, not only reports or slide decks. Some projects start with raw data and a single business question. Others involve complex data, cloud services, MLOps, and multiple systems. We are interested in both small and large projects when the goal is clear and the work has real business value.
How do you handle data privacy and security during model training?
We treat data privacy as part of the data science process from the start. Access control, data classification, encryption, anonymization, and audit trails are considered before model training begins. Sensitive fields can be masked, limited, or excluded when they are not needed for the analysis. For regulated data, we align workflows with applicable privacy and security expectations. The model training process is documented so your team can understand what data was used, why it was used, and how it was protected.
How do you handle scope and changes?
Scope is managed through clear discovery, written assumptions, and milestone based planning. Data science work can change when new data sources appear, when data quality issues surface, or when early analysis shows a better path. We handle those changes through a direct review process instead of letting the project drift. You receive the impact on timeline, technical effort, and expected outcome before deciding. This keeps analytics, machine learning, and data management work under control while still leaving room for better ideas.
What happens after launch?
After launch, the work shifts to monitoring, maintenance, optimization, and user feedback. For machine learning systems, this may include tracking prediction quality, data drift, feature changes, and retraining needs. For BI and analytics platforms, it may include dashboard refinement, new metrics, and data source updates. We can support your team while knowledge transfer takes place. The goal is to keep the system useful as data, users, and business questions change.
Will we own the code and IP?
Ownership terms are made clear before work begins. In most custom data science and software projects, the client owns the code, configurations, documentation, and project specific intellectual property created for the engagement. We also identify any open source libraries, licensed tools, or cloud services used in the system. That way, there is no confusion about rights, access, or future maintenance. Your team should be able to continue the work without being locked into unclear assets.
What makes SoftDoes different from a typical agency?
SoftDoes is engineering led, which changes how data science services are planned and executed. We look at models, pipelines, cloud infrastructure, databases, analytics tools, users, and governance together. A typical agency may focus on a visible dashboard or prototype, while we focus on the system behind it as well. That includes data quality, monitoring, documentation, and maintainability. You get senior technical judgment from the first conversation through launch and beyond.
How do you price projects?
Pricing depends on scope, data complexity, infrastructure needs, security requirements, and the level of modeling or analytics involved. We do not force every project into the same format because a dashboard effort is different from a production machine learning system. After discovery, we define the work, milestones, responsibilities, and expected outputs. This gives your team a clear basis for approval without hidden assumptions. We do not add prices here because each data science project needs its own technical review first.
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.
