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6
years on the market
73%
new clients come from referrals
510+
finished projects
80+
software engineers
Services we offer
- 01Data Science Services
> From Raw Data to Decisions <
Data science services encompass the collection, analysis, and interpretation of complex data to uncover actionable insights. This discipline leverages statistical methods, machine learning techniques, and generative AI to transform historical data into predictive models that support smarter decisions. Companies in Austin, TX, face challenges such as fragmented data sources and security threats, which can hinder their ability to identify trends and gain a competitive advantage. Our team specializes in delivering a comprehensive suite of data science solutions tailored to these needs, ensuring data pipelines are production ready and aligned with business processes.
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We help Austin businesses harness modern tools to convert raw data into clear, measurable outcomes. Whether it is developing real time apps or integrating AI adoption into existing workflows, our data science services company focuses on practical results that enhance operational efficiency and strategic planning. By applying machine learning techniques and maintaining strict attention to data security, we enable clients to unlock the full potential of their data assets with confidence.
- 02Data Analytics Solutions
> ANSWERS PEOPLE CAN USE <
Unlocking actionable insights from complex data sets is the core of data analytics solutions. These services focus on collecting, processing, and analyzing data to reveal patterns, trends, and opportunities that support informed decision-making. Businesses often struggle with fragmented data and unclear reporting, which can obscure critical information and delay responses to market changes. Our team specializes in creating tailored analytics platforms that turn raw data into clear, timely insights, helping Austin companies respond quickly and confidently.
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The value of data analytics lies in its ability to transform scattered information into a cohesive narrative that supports strategic planning and operational improvements. We assist clients in designing dashboards, reports, and data workflows that align with their unique business goals. By integrating advanced analytics tools and ensuring seamless data flow, we enable Austin organizations to improve efficiency, customer understanding, and competitive edge. Our approach prioritizes real-time data access and security, ensuring that insights are both reliable and actionable.
- 03Enterprise Data Management
> CONTROL YOUR ENTERPRISE DATA <
Enterprise data management involves organizing, storing, and maintaining data assets to ensure accuracy, accessibility, and security across an organization. This service addresses challenges such as data silos, inconsistent data formats, and compliance risks that can impede decision-making and operational efficiency. Austin companies often face rapid data growth and complex regulatory environments, making effective data management essential to maintain control and trust in their information systems. Our team specializes in creating robust frameworks that streamline data governance, enforce quality standards, and enable seamless data integration. By implementing scalable solutions tailored to Austin’s dynamic business landscape, we help organizations unlock the full value of their data while minimizing risk. Whether restructuring legacy systems or designing new data architectures, we focus on practical, sustainable enterprise data management strategies that support long-term success.
- 04Data Strategy & Governance
> RULES BEFORE AUTOMATION <
We help organizations define practical data strategies, governance models, and delivery roadmaps that align with business goals. Our teams structure data analysis workflows to turn fragmented information into meaningful insights, so leaders can act with more clarity. We also design reporting layers and dashboards that transform complex data into usable views for daily operations and long-term planning. For teams that depend on immediate visibility, real time analytics is critical for fast, data-driven decisions and relies on data streaming, event driven architectures, and real time data pipelines. From architecture planning to policy design, we make sure data quality, ownership, security, and access controls are built in from the start. We help clients standardize definitions, improve trust in reporting, and reduce the friction that slows down decision-making across departments. Unlike batch processing, this approach supports fresher operational signals instead of waiting for scheduled reporting cycles. That creates a stronger base for automation, compliance, and scalable analytics as the business grows.
> From Raw Data to Decisions <
Data science services encompass the collection, analysis, and interpretation of complex data to uncover actionable insights. This discipline leverages statistical methods, machine learning techniques, and generative AI to transform historical data into predictive models that support smarter decisions. Companies in Austin, TX, face challenges such as fragmented data sources and security threats, which can hinder their ability to identify trends and gain a competitive advantage. Our team specializes in delivering a comprehensive suite of data science solutions tailored to these needs, ensuring data pipelines are production ready and aligned with business processes.
--
We help Austin businesses harness modern tools to convert raw data into clear, measurable outcomes. Whether it is developing real time apps or integrating AI adoption into existing workflows, our data science services company focuses on practical results that enhance operational efficiency and strategic planning. By applying machine learning techniques and maintaining strict attention to data security, we enable clients to unlock the full potential of their data assets with confidence.
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Risk teams use data science services in finance to identify fraud, improve risk management, and turn complex data into actionable insights for faster reviews and clearer decisions.
Healthcare
Clinical and operational groups use AI assisted healthcare analytics, value based treatment decisions, and secure data processing for healthcare stakeholders handling sensitive data.
Education
Campus teams gain education data insights through predictive analytics, data visualization, and data quality checks that help leaders understand programs, engagement, and outcomes.
Construction
Project owners apply construction analytics solutions to forecast timelines, monitor costs, process data from job sites, and improve operational efficiency across complex work.
Technology
Product and platform teams use machine learning, enterprise AI, real time data, and big data analytics to create smarter systems that integrate seamlessly with existing tools.
Startups
Early teams rely on startup data science support for MVP analytics, ai models, interactive dashboards, and data driven decisions without adding heavy internal process.
Compliance
Regulated teams need compliance data governance, audit trails, data protection, retention rules, and access controls that help mitigate risk while protecting sensitive data.
Energy
Operators use energy data analytics for predictive maintenance, streaming data, real time dashboards, and demand forecasting across connected assets and field operations.
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% 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% 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% 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 Austin, TX – 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
Senior engineers handle the work directly, not a chain of coordinators. You speak with people who understand data engineering, machine learning, cloud systems, and enterprise software. That keeps decisions precise and avoids slow translation between business goals and technical tasks. Our team can discuss SQL models in one meeting and business intelligence impact in the next. We document choices so your team knows what was changed and why. SoftDoes is a software development company that treats data science as engineering, not slideware.
- 02Predictable Delivery
Predictable delivery starts with clear scope, milestones, owners, and review points. We define what data sources, models, dashboards, integrations, and security controls are included before work begins. Progress is visible through regular updates, demos, and written notes. If a data issue changes the plan, we explain the tradeoff before moving ahead. This helps founders, CTOs, and operations leaders make critical business decisions with fewer surprises. The result is a calmer process for analytics solutions and AI systems.
- 03Built to Last Past Launch
Systems should remain useful after launch. We design for maintenance, data quality, monitoring, and future changes from the start. That includes pipeline checks, model drift alerts, access controls, and clear documentation. We also think about how your team will operate the system after our work is complete. Good architecture reduces hidden model debt and makes advanced analytics easier to improve over time. SoftDoes focuses on practical business outcomes rather than one time prototypes.
- 04No Babysitting Required
You should not need to manage every technical detail. Our team handles communication, planning, engineering tasks, testing, documentation, and handoff with discipline. We ask direct questions early so your experts are not pulled into endless clarification meetings. When we need a decision, we explain the options in plain language. This is especially useful when AI consulting, data pipeline work, and software development overlap. You get a reliable partner that can work with minimal disruption.
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 services in Austin?
We set a communication rhythm before work starts. Most projects use a shared channel, planned check ins, written summaries, and demo sessions when there is something useful to review. Technical notes cover data sources, assumptions, risks, and decisions. Business updates explain progress in plain language without hiding important detail. Austin teams can work with us remotely, in the same time zone, or through selected in person sessions when useful. The goal is clear ownership and faster decision making.
What types of data science projects are a good fit for SoftDoes?
SoftDoes fits projects that need serious engineering behind data science work. That may include data analytics, predictive analytics, machine learning, enterprise data management, AI strategy, or data pipeline repair. We also help with focused short projects such as model audits, dashboard upgrades, data quality reviews, and prototype validation. Larger programs can cover big data infrastructure, business intelligence, and production ready ML Ops. We are useful when existing systems are messy or when internal teams need senior support. The best fit is a problem with business impact and access to the right data.
How do you handle data privacy and security during data science model training?
We treat sensitive data as a core design concern. Access is limited by role, and environments are separated where needed. Data can be encrypted at rest and in transit, with audit logs used for important activity. When appropriate, we use anonymization, de identification, retention rules, and secure cloud settings. Training data, model outputs, and testing results are reviewed for privacy risk. These practices help protect data integrity while supporting artificial intelligence work.
How do you handle scope and changes in data science projects?
Scope changes are normal in data science because raw data often reveals issues after the work begins. We separate expected exploration from true scope changes. When a new need appears, we explain the impact on timeline, effort, risk, and business outcomes. You see options before approving the change. We keep the plan current so teams are not working from old assumptions. This keeps advanced analytics work controlled without blocking useful discoveries.
What happens after launching data science solutions?
After launch, the system needs observation and care. We can monitor data pipeline health, model performance, dashboard accuracy, and integration behavior. For machine learning models, we watch drift, error patterns, and retraining needs. We also help refine alerts, reports, and user workflows based on real usage. Documentation and handoff materials make internal support easier. Post launch support keeps data driven decisions trustworthy as the business changes.
Will we own the code and IP from data science services?
Yes, client ownership is handled clearly in the agreement. The code, data pipeline logic, model artifacts, documentation, and project outputs can be assigned to your company as agreed. If any third party libraries or cloud services are used, we identify those dependencies. We do not hide essential logic inside private black boxes. Your team should be able to inspect, maintain, and extend the work. This matters for enterprise clients that need long term control over AI systems and data processing.
What makes SoftDoes different from a typical data science agency?
SoftDoes combines software development discipline with deep expertise in data science services in Austin. Many analytics companies stop at dashboards or experiments, while we focus on systems that work inside real business operations. Our engineers understand data engineering, ML Ops, cloud architecture, and application integration. We care about security, data quality, and maintainability from the first planning session. We can work with founders, CTOs, and operations leaders without adding unnecessary process. The result is practical data driven decision making with fewer handoffs.
How do you price data science consulting projects?
Pricing depends on scope, data readiness, technical risk, integrations, and the level of support required. A focused data science audit is very different from a full predictive analytics platform or enterprise AI program. We first clarify the goal, available data, existing tools, security needs, and expected business outcomes. Then we outline the work in phases so you can choose the right starting point. We do not use vague packages for complex data work. You get a practical estimate tied to the work your team actually needs.
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.
