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
- 01Machine Learning Model Development
> BUILD MODELS THAT PERFORM ON PRODUCTION DATA <
We develop machine learning models using supervised learning algorithms, unsupervised learning techniques, and reinforcement learning approaches matched to your data and objectives. Our process covers feature engineering, model training, validation against unseen data, and performance optimization. Every model is tested rigorously before deployment.
- Supervised learning for labeled data
- Clustering algorithms for customer segmentation
- Predictive analytics with linear regression
- Deep neural networks for complex data
- Model validation and accuracy testing
> ACCURACY THAT HOLDS IN REAL CONDITIONS <
How do you ensure a model performs when conditions change? We build monitoring systems that track the model's performance against new data and alert when retraining is needed.
- Continuous performance monitoring
- Drift detection and alerts
- Automated retraining pipelines
- A/B testing frameworks
- 02Artificial Intelligence Development
> TRANSFORM RAW DATA INTO COMPETITIVE ADVANTAGE <
AI development turns your historical data into systems that make decisions, detect anomalies, and automate judgment. We build solutions using deep learning, natural language processing, and computer vision that solve problems your team handles manually today. These systems learn from your training data and improve as data volume grows. New York companies operate in environments where speed and accuracy determine outcomes. Our AI engineers create solutions that seamlessly integrate with existing infrastructure. We focus on computational intelligence that delivers measurable business value rather than experimental projects that never reach production.
- Custom neural network architectures
- Natural language processing pipelines
- Computer vision for image classification
- Anomaly detection systems
- Generative AI implementation
- Large language models integration
- 03AI-Driven Process Automation
> AUTOMATE COMPLEX BUSINESS WORKFLOWS <
Manual processes drain resources and introduce errors. We build AI systems that handle repetitive tasks, route decisions, and process documents without human intervention. These solutions learn from your operational patterns and adapt to exceptions automatically. Automation reduces costs while improving service quality. NYC businesses deal with complex business workflows that span multiple systems and stakeholders. Our automation solutions integrate with your existing tools and scale as transaction volumes increase. We design for reliability first because downtime in automated systems creates cascading problems.
- Document processing and extraction
- Decision routing automation
- Workflow orchestration
- Exception handling systems
- Integration with existing platforms
- Spam detection and filtering
- 04Custom AI Solutions
> SOLUTIONS BUILT FOR YOUR SPECIFIC CHALLENGES <
Off the shelf tools solve generic problems. Your business has unique data sources, specific constraints, and particular objectives that require custom development. We build AI solutions tailored to your domain using machine learning methods matched to your actual requirements. Custom work delivers results generic platforms cannot achieve. New York's business landscape demands solutions that handle local market conditions, regulatory requirements, and competitive pressures. We develop systems using your proprietary data that create defensible advantages. Our AI engineers work directly with your team to understand context that shapes effective solutions.
- Industry specific model development
- Proprietary algorithm design
- Custom data pipeline architecture
- Domain adapted NLP systems
- Specialized object detection
- Market basket analysis tools
- 05AI Operationalization
> MOVE FROM PROTOTYPE TO PRODUCTION <
Many ML projects stall between proof of concept and deployment. We handle the engineering required to run models reliably at scale. This includes containerization, monitoring, version control, and automated retraining pipelines. Our MLOps approach ensures models maintain accuracy over time. New York enterprises require systems that meet compliance requirements and handle real traffic. We build infrastructure that supports timely delivery of predictions while maintaining audit trails. Every deployment includes monitoring for drift, performance degradation, and data quality issues.
- MLOps pipeline implementation
- Model versioning and rollback
- Scalable serving infrastructure
- Performance optimization
- Compliance and audit logging
- Automated testing and validation
> BUILD MODELS THAT PERFORM ON PRODUCTION DATA <
We develop machine learning models using supervised learning algorithms, unsupervised learning techniques, and reinforcement learning approaches matched to your data and objectives. Our process covers feature engineering, model training, validation against unseen data, and performance optimization. Every model is tested rigorously before deployment.
- Supervised learning for labeled data
- Clustering algorithms for customer segmentation
- Predictive analytics with linear regression
- Deep neural networks for complex data
- Model validation and accuracy testing
> ACCURACY THAT HOLDS IN REAL CONDITIONS <
How do you ensure a model performs when conditions change? We build monitoring systems that track the model's performance against new data and alert when retraining is needed.
- Continuous performance monitoring
- Drift detection and alerts
- Automated retraining pipelines
- A/B testing frameworks
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Built for systems where latency, correctness, and auditability matter. We ship ML models that handle real money, business risk, and real regulators with predictive analytics built in.
Healthcare
Designed for workflows where data privacy and reliability are required. We build machine learning solutions that fit clinical reality while meeting compliance requirements for sensitive data.
Education
Platforms built to scale users, content, and outcomes simultaneously. From internal tools to learning systems using data analysis that actually improve user engagement and results.
Construction
Software that mirrors how projects run in reality. Scheduling, reporting, and coordination using predictive models without breaking existing workflows or requiring extensive retraining.
Technology
Complex systems, integrations, and internal platforms built to evolve. We step in when off the shelf machine learning technology stops being enough for your scaling needs.
Startups
From first version to real traction without painting yourself into a corner. ML development services built for speed now and the hard architectural decisions that come later.
Compliance
Systems designed around controls, traceability, and change management. Built so audits of your machine learning algorithms and data mining processes do not become fire drills.
Energy
Infrastructure software built for long timelines and high stakes. Reliable ML systems for assets that cannot afford guesswork, using dimensionality reduction and pattern recognition.
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.
Start Your ML Project
Contact SoftDoes to discuss your machine learning development needs. We build models that deliver business value from day one.
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 New York City, 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 directly with the AI engineers building your system. No account managers relay your requirements. No information gets lost between decisions and implementation. Questions get answered by people who wrote the code. Technical tradeoffs are explained by engineers who understand consequences. This direct communication eliminates delays and misunderstandings that derail complex ML projects.
- 02Predictable Delivery
Work is scoped, sequenced, and delivered in clear increments. Each milestone has defined deliverables and acceptance criteria. You see working software regularly, not just status reports. No surprises emerge late in development. No rushed rewrites before deadlines. Our structured approach to machine learning model development means you always know exactly where your project stands.
- 03Built to Last Past Launch
The system is designed for long term use, maintenance, and change. Launch marks the starting point, not the finish line. Code is written for the engineers who will maintain it years later. Documentation covers decisions, not just features. Architecture supports modification without rewrites. Your machine learning models remain valuable assets that evolve with your business needs.
- 04No Babysitting Required
Clients do not manage the team or push work forward. Execution does not depend on reminders or follow ups. We identify blockers and resolve them proactively. Decisions that require your input get escalated with clear options and recommendations. Your involvement focuses on business direction and validation. Our development services run without constant oversight.
Technologies We Use
AI MODELS & LLMs
ML FRAMEWORKS
MLOPS & AI INFRASTRUCTURE
AI CLOUD PLATFORMS
AI AUTOMATION TOOLS
DATABASES / DATA INFRASTRUCTURE
Frequently Asked Questions
How is communication handled during machine learning model development?
A dedicated project manager leads updates, scope discussions, and timeline management for every engagement. Engineers participate directly in planning sessions to explain tradeoffs and technical constraints. Decisions do not get lost in translation between business stakeholders and technical teams. You receive regular progress updates with working demonstrations of ML features. Technical questions get answered by the people building your system. This structure ensures alignment between business goals and implementation choices throughout development.
What types of machine learning projects are a good fit for SoftDoes?
We work with companies building long term products, business critical systems, and software requiring ongoing maintenance and evolution. Projects involving complex data, custom ML algorithms, or integration with existing infrastructure match our capabilities well. Startups building their first predictive models benefit from our experience. Enterprises replacing legacy systems with modern machine learning solutions find strong alignment with our approach. We engage with projects at every scale from focused pilots to comprehensive platform development. Your specific business needs determine how we structure the engagement.
Do you build ML MVPs or only large machine learning systems?
We build MVPs when they are designed to grow into production systems. The architecture supports scaling from initial validation through full deployment. We do not build throwaway demos or proof of concepts that require complete rebuilding. Your MVP uses the same code quality and infrastructure patterns as enterprise systems. Model training approaches are chosen for both immediate results and long term evolution. This foundation means your early investment transfers directly into your scaled solution.
How do you measure the success and accuracy of a machine learning model?
Success measurement depends on your specific use case and business objectives. Classification models are evaluated using precision, recall, F1 scores, and ROC curves against holdout test sets. Regression models use RMSE and MAE to quantify prediction errors on continuous values. We establish baseline metrics before development and track improvement throughout model training. Beyond technical accuracy, we measure business impact including operational efficiency gains and decision quality improvement. Ongoing monitoring after deployment ensures the model`s performance remains strong against new data.
What happens after machine learning model launch?
We continue supporting, maintaining, and evolving the system after deployment. Launch represents the beginning of production operation, not project completion. Monitoring systems track model performance and alert when accuracy degrades. Retraining pipelines update models as input data patterns shift over time. Bug fixes and enhancements follow the same quality standards as initial development. Your comprehensive support engagement ensures the machine learning system remains valuable as your business evolves.
Will we own the machine learning code and IP?
Yes. You own one hundred percent of the code, repositories, and intellectual property from day one. All custom machine learning models, training datasets, and algorithms belong entirely to your organization. There are no licensing fees or usage restrictions on software we build for you. Documentation, model weights, and deployment configurations transfer fully to your team. You maintain complete freedom to modify, extend, or transfer the technology. Our engagement creates assets you control without ongoing dependencies.
What makes SoftDoes different from a typical ML development agency?
Senior AI engineers handle your project directly without layers of account managers or offshore handoffs. Communication happens with the people writing your machine learning algorithms. Delivery follows predictable schedules with visible progress at each milestone. We optimize for long term system value rather than billable hours. Our team takes ownership of outcomes, not just task completion. This approach produces machine learning models built for production use, not demonstration.
How do you price machine learning development projects?
Engagements are structured around clear scope and defined outcomes rather than open ended hourly billing. We assess your requirements, data sources, and business goals before proposing a structure. Pricing reflects the complexity of your machine learning technology needs and expected timeline. We focus on long term value delivered rather than lowest upfront cost. Transparent estimates help you budget accurately without hidden expenses emerging during development. Investment in quality ML development pays returns through systems that perform reliably in production.
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.
