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 THAT RUNS IN PRODUCTION <
SoftDoes delivers end-to-end data science services in New York, from initial idea to stable deployment. We focus on the business metrics that matter: lower risk, higher revenue, and faster decision making for New York state companies.
- Customer churn prediction for NY banks
- Claims fraud detection for insurers
- Demand forecasting for New York retailers
- Risk scoring for lenders
- Resource optimization for hospital networks
> FROM IDEA TO DEPLOYED MODEL <
Tired of models that never leave the lab in your New York teams? SoftDoes pairs senior data scientists with software engineers to ship models safely. We use machine learning techniques that match your problem, whether that’s classification for fraud detection, regression for forecasting, or optimization for resource allocation.
- Clear problem and metric definition
- Use your existing cloud stack
- Iterative experiments with fast feedback
- Monitoring, retraining, and alerting setup
- 02Data Analytics Solutions
> FAST, CLEAR INSIGHTS <
Data analytics solutions help New York companies see what’s happening across their business in near real-time. We build systems that solve slow reporting, conflicting numbers, and the absence of a single source of truth that plagues many organizations still relying on manual Excel work. New York state companies use our analytics to see revenue, risk, operations, and customer behavior in one unified view. We design dashboards and self-service analytics for teams that need daily answers without waiting for IT to run a report. By building dashboards that pull from your actual data warehouse, we give your staff the ability to explore data and find meaningful insights on their own schedule.
- Executive revenue dashboards for NY HQs
- Branch performance for multi-location chains
- Cohort and retention views by region
- Marketing funnel and attribution in New York markets
- Operations KPIs with drill-downs
- 03Enterprise Data Management
> BUILT FOR SCALE AND CONTROL <
Enterprise data management means getting control of how data flows into, through, and out of your organization. For larger New York companies, this involves ingestion from ERPs, CRMs, EMRs, and trading platforms, along with proper storage, data quality checks, cataloging, and access control. SoftDoes helps New York enterprises reduce data duplication, fix inconsistent fields, and control who can see sensitive information. We architect warehouses and data lakes using modern data stacks like Snowflake, Redshift, BigQuery, and Lakehouse architectures to support both analytics workflows and data science work. This data infrastructure becomes the foundation for everything else you want to do with your data.
- Centralized data warehouse for NY offices
- Role-based access with audit logs
- Data quality checks and alerts
- Metadata catalog for business users
- Lineage tracking across pipelines
- 04Data Strategy and Governance
> CLEAR PLAN, PRACTICAL RULES <
Data strategy means deciding what data to collect, who owns it, how it should be used, and how to keep it safe and legal. Governance covers the policies, roles, and processes for privacy, access, data quality, and model risk. For companies in regulated industries, governance frameworks are not optional. We help you define governance that works in practice, rules your teams will actually follow because they make sense, not just paperwork for auditors. Many New York firms have plenty of data but no shared plan or rules for how to use it. We work closely with leadership to create a data strategy that aligns with your business needs and the markets you operate in.
- Data roadmap aligned to NY markets
- Ownership defined for critical datasets
- Simple data access approval flows
- Model risk and review process
- Compliance mapping for HIPAA and PCI
> DATA SCIENCE THAT RUNS IN PRODUCTION <
SoftDoes delivers end-to-end data science services in New York, from initial idea to stable deployment. We focus on the business metrics that matter: lower risk, higher revenue, and faster decision making for New York state companies.
- Customer churn prediction for NY banks
- Claims fraud detection for insurers
- Demand forecasting for New York retailers
- Risk scoring for lenders
- Resource optimization for hospital networks
> FROM IDEA TO DEPLOYED MODEL <
Tired of models that never leave the lab in your New York teams? SoftDoes pairs senior data scientists with software engineers to ship models safely. We use machine learning techniques that match your problem, whether that’s classification for fraud detection, regression for forecasting, or optimization for resource allocation.
- Clear problem and metric definition
- Use your existing cloud stack
- Iterative experiments with fast feedback
- Monitoring, retraining, and alerting setup
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
We develop trading, risk, and reporting systems prioritizing latency, accuracy, and auditability. Our data science services for New York finance include credit risk models, fraud detection, and compliant intraday dashboards.
Healthcare
SoftDoes builds data privacy-focused tools for hospitals and health-tech, offering capacity forecasting, care-pathway analysis, and operational dashboards compliant with HIPAA and PHI.
Education
We develop scalable platforms for universities, schools, and edtech firms. Our education analytics include student progress tracking, engagement analytics, and reporting for New York districts.
Construction
SoftDoes delivers software for New York construction projects, including schedule tracking, cost variance dashboards, and subcontractor performance views for field and office teams.
Technology
We support New York tech companies with integrations, platforms, and product analytics, including event tracking and feature usage models.
Startups
SoftDoes supports New York startups from MVP to stable product with solid data foundations. Our data science services include initial analytics stacks, basic forecasting, and cohort tracking that scale with your growth.
Compliance
We design systems for regulated New York companies emphasizing controls, traceability, and change management. Our governance and compliance analytics support audit preparation and practical compliance.
Energy
SoftDoes helps utilities with load forecasting, asset monitoring, and maintenance planning to ensure New York’s grid reliability.
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 New York – 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 the engineers building your system. No account managers, no relays, no information loss between decisions and implementation. For data science services in New York, this direct access matters. When you need to discuss tradeoffs in a model or architecture decisions for your data warehouse, the people who know the answer are on the call. Architects, data scientists, and engineers join planning sessions when design choices are made. This speeds up decisions and avoids the telephone game that slows down many agency projects.
- 02Predictable Delivery
Work is scoped, sequenced, and delivered in clear increments. No surprises, no rushed rewrites, no stalled releases. For New York data analytics projects, we use two-week sprints with demo sessions at the end of each cycle. Stakeholders see working software regularly, not just slide decks. Written release notes document what shipped and what’s next. We avoid rushed rewrites by making tradeoffs explicit early, if a change affects timeline or scope, we discuss it before committing.
- 03Built to Last Past Launch
The system is designed for long-term use, maintenance, and change. Launch is the starting point, not the finish line. For enterprise data management work, this means logging, observability, tests, and documentation are standard parts of delivery, not afterthoughts. New York companies expect years of uptime and regulatory review. We build systems with that expectation from day one, using practices that make future changes safer and less expensive.
- 04No Babysitting Required
Clients don’t manage the team or push work forward. Execution doesn’t depend on reminders. For projects involving data strategy and governance, our teams drive work proactively. You get regular status updates, early risk flags, and clear ownership across every workstream. We keep momentum without constant check-ins from New York client staff. If something is blocked, we surface it and propose solutions rather than waiting for you to notice.
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 in data science services in New York?
A project manager leads updates, scope, and timelines. Engineers and data scientists join calls for planning, tradeoffs, and technical clarity so decisions don’t get lost in translation. For data analytics services in New York, we typically use weekly video calls, a shared Slack or email channel, and a project board (Jira, Linear, or your preference). Decisions and tradeoffs are written down so nothing is lost between meetings. You’ll know who to contact for what, and you won’t need to chase people down for answers.
What types of data science projects are a good fit for SoftDoes?
Long-term products, business-critical systems, and software that needs to be maintained and evolved after launch. These are strong match projects for our team. For enterprise data science solutions, good examples include risk engines, analytics platforms, multi-tenant SaaS products, and internal tools used daily by New York teams. We build things that need to keep working.
Do you build MVPs or only large data science systems?
We build MVPs when they’re designed to grow into full production systems. We don’t build throwaway demos. For New York software and data MVPs, even early versions include basic quality controls, monitoring, and security. The code is structured so it can be extended without rewriting from scratch. If your goal is a one-time demo with no path to production, we’re probably not the right partner. If you’re building something real, we can help you move fast without painting yourself into a corner.
How do you handle scope and changes in data science projects?
Every engagement starts with a clear written scope, timeline, and estimate. Work is defined before it begins. For data science project scope, changes happen, we understand that. When they do, we discuss them openly, estimate the impact, and prioritize together with New York stakeholders managing tight budgets. We don’t silently absorb changes that would risk quality or deadlines. Transparency about scope is how we avoid the ugly surprises that make projects fail.
What happens after launch in data analytics support?
SoftDoes continues to support, maintain, and evolve the system after the first release. Launch is the beginning, not the end. For post-launch data analytics support, we offer retainers for ongoing maintenance, feature roadmaps for new capabilities, and model monitoring for data science work. We treat launch as the start of learning from real usage, analyzing data from production to inform what comes next. Your system keeps improving after it goes live.
Will we own the code and IP from our data science projects?
Yes. You own 100% of the code, repositories, and intellectual property from day one. For custom data platforms, you get full access to repositories, documentation, and everything we produce. New York-based teams can review, audit, and hand off to other vendors if needed. We don’t lock you into proprietary frameworks or hold code hostage. The work is yours.
What makes SoftDoes different from a typical data science agency?
Senior engineers, direct communication, predictable delivery, and long-term ownership, not volume-based outsourcing. We focus on fewer, deeper New York data projects rather than maximizing billable hours across dozens of clients. As your New York data science partner, we bring technical expertise to every engagement and take ownership of outcomes. We’re not trying to extend timelines or avoid hard problems. We want your project to succeed because that’s how we get the next one.
How do you price data science projects?
Engagements are structured around clear scope, outcomes, and team composition. We focus on long-term value, not lowest upfront cost. For data science services pricing, we offer project-based work, ongoing product teams, or hybrid models depending on what fits your New York company’s needs. We share assumptions and constraints upfront so there are no surprises. If a project doesn’t make sense at a given budget, we’ll tell you, rather than committing to something we can’t deliver well.
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