6
years on the market
73%
new clients come from referrals
510+
finished projects
80+
software engineers
Services we offer
- 01AI Operationalization
> MOVE PAST PILOTS INTO PRODUCTION <
AI operationalization is the discipline of turning models into stable, monitored, secure systems that work every day in Florida businesses. This is where many ai projects fail, the pilot works, but production deployment stalls.
- MLOps pipelines and CI/CD
- Model versioning and rollback
- Monitoring for drift and bias
- Secure model endpoints
- Cost management and capacity planning
> KEEPING AI STABLE UNDER FLORIDA’S REAL-WORLD LOADS <
How do we keep your AI stable when demand spikes during peak tourism or hurricane season?
- 24/7 monitoring and alerts
- Controlled testing before rollout
- Logs for audits and regulators
- Playbooks for incident response
Our operationalization approach means your ai systems stay reliable as Florida regulations evolve. We build in the control and transparency that protect consumers and satisfy auditors.
- 02Artificial Intelligence Development
> END-TO-END AI DESIGN FOR REAL SYSTEMS <
Artificial intelligence development creates AI tools that analyze data, predict outcomes, and automate decisions within your operations. We build production-ready systems that handle large data faster and more reliably than manual processes. Florida businesses face unique needs like rapid demand forecasting and real-time hurricane models. SoftDoes integrates AI with existing systems statewide, designing efficient models that lower compute costs and respect infrastructure limits.
- Customer insight from live data
- Forecasting for tourism demand
- Risk scoring with audit trails
- Cloud-native deployment in US regions
- Energy-aware model design
- 03Custom AI Solutions
> TAILORED AI, NOT ONE-SIZE-FITS-ALL <
SoftDoes designs custom AI solutions when off-the-shelf tools fall short. We combine AI, data engineering, and cloud architecture to work with both on-prem and cloud storage while respecting Florida data residency. Our systems include impact forecasting, claims triage, smart scheduling for construction crews, and grid-aware AI workloads aligned with Florida’s proposed artificial intelligence bill. We integrate with existing infrastructure rather than replacing it.
- Predictive maintenance for fleets
- Grid-aware AI scheduling
- Student success analytics
- Localized fraud detection models
- AI chat for citizen services
- 04Machine Learning Model Development
> ML MODELS THAT HOLD UP IN PRODUCTION <
SoftDoes builds and trains ml models for classification, forecasting, and anomaly detection using real Florida data from finance, manufacturing, and healthcare sectors. Every model is validated against actual operating conditions to ensure accuracy and fairness. We manage data cleaning, feature engineering, and evaluation with a focus on latency and compliance, especially in regulated industries. Our workflows align with NIST practices and anticipate Florida’s evolving ai governance, providing explainability and audit readiness for regulatory scrutiny.
- Credit and fraud scoring
- Patient risk stratification
- IoT anomaly detection models
- Demand and revenue forecasts
- Scenario testing for regulators
- 05AI-Driven Process Automation
> AUTOMATE WORK WITHOUT BREAKING YOUR WORKFLOWS <
AI-driven automation uses machine learning to handle tasks like document reading, ticket routing, and workflow triggering, reducing the need for human intervention. Deployed across finance, healthcare, construction, and education, it helps Florida businesses manage seasonal demand spikes efficiently. Automation lets your team focus on key decisions while AI handles repetitive work, integrating smoothly with existing systems.
- Claims and invoice parsing
- Compliance checks on documents
- Construction field report ingestion
> MOVE PAST PILOTS INTO PRODUCTION <
AI operationalization is the discipline of turning models into stable, monitored, secure systems that work every day in Florida businesses. This is where many ai projects fail, the pilot works, but production deployment stalls.
- MLOps pipelines and CI/CD
- Model versioning and rollback
- Monitoring for drift and bias
- Secure model endpoints
- Cost management and capacity planning
> KEEPING AI STABLE UNDER FLORIDA’S REAL-WORLD LOADS <
How do we keep your AI stable when demand spikes during peak tourism or hurricane season?
- 24/7 monitoring and alerts
- Controlled testing before rollout
- Logs for audits and regulators
- Playbooks for incident response
Our operationalization approach means your ai systems stay reliable as Florida regulations evolve. We build in the control and transparency that protect consumers and satisfy auditors.
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Built for systems where latency, correctness, and auditability matter. We deliver AI & machine learning solutions for financial risk scoring and fraud detection.
Healthcare
We develop software that meets HIPAA standards and supports mental health counseling platforms, ensuring data privacy and reliability.
Education
Scalable platforms for Florida schools and universities that support users, content, and outcomes.
Construction
Custom software for scheduling, reporting, and coordination that fits real-world construction workflows.
Technology
Complex systems, integrations, and internal platforms built to evolve. We handle product development and API integration when off-the-shelf tools stop being enough for transforming industries.
Startups
From first version to real traction without painting yourself into a corner. We build scalable AI & machine learning platforms designed for speed now and flexibility later.
Compliance
Systems built for controls, traceability, and change management. Our approach ensures audits aren’t fire drills and local agencies can monitor compliance.
Energy
Infrastructure software for long-term, high-stakes operations. We deliver data engineering and AI tools that monitor vast grid data to support reliable energy systems.
Transparency at each stage
Discovery & Alignment
Clear goals and a detailed roadmap to eliminate surprises.
Technical Strategy
Expert tool selection with logical architectural backing.
Iterative Development
Real-time access to code, staging, and regular progress demos.
Careful Testing
Transparent QA, security, and performance reporting before launch.
Deployment & Support
Full documentation and ongoing monitoring for total control.
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 Florida – 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. This direct access speeds AI & machine learning delivery for complex systems and ensures technical decisions don’t get diluted through layers of project management.
- 02Predictable Delivery
Work is scoped, sequenced, and delivered in clear increments. No surprises, no rushed rewrites, no stalled releases. We use weekly demos and transparent estimates so releases and AI deployments arrive on time, even when Florida’s regulations or priorities shift. You have the ability to plan around our commitments.
- 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. We architect for future model updates, regulatory changes, and business pivots so your AI operationalization keeps working years after initial deployment. Many businesses find this focus on longevity reduces total cost of ownership significantly.
- 04No Babysitting Required
Clients don’t manage the team or push work forward. Execution doesn’t depend on reminders. SoftDoes manages its own progress, handles blockers proactively, and surfaces tradeoffs before they become problems. Florida teams focus on their business while we handle day-to-day delivery.
Frequently Asked Questions
How is communication handled in AI operationalization?
A PM leads updates, scope, and timelines. Engineers are brought in for planning, tradeoffs, and technical clarity so decisions don’t get lost in translation. You get weekly written updates and direct access to technical leads on your custom software development project.
What types of projects are a good fit for SoftDoes in AI and machine learning implementation?
Long-term products, business-critical systems, and software that needs to be maintained and evolved after launch. We’re a strong fit for AI & machine learning implementation in regulated industries where reliability and auditability matter. If you need to prohibit utilities from accessing certain data or implement parental controls, we can build those requirements in from the start.
Do you build MVPs or only large systems for AI operationalization?
We build MVPs when they’re designed to grow into production systems. We don’t build throwaway demos. Every MVP we deliver for ai operationalization in florida is architected to scale, with clean foundations that support future features and increasing data volumes.
How do you handle scope and changes in AI project management?
Work starts from a defined scope. Changes are discussed, estimated, and prioritized explicitly, not absorbed silently. We document how changes affect AI features, cloud services costs, and timelines so you can make informed decisions. This keeps cost efficiency high and prevents scope creep.
What happens after launch in AI operationalization projects?
We continue supporting, maintaining, and evolving the system. Launch is the beginning, not the end. This includes monitoring performance, retraining models as conditions change, and adding features as Florida regulations and business needs evolve. We help you monitor system health and respond to issues before they affect users.
Will we own the code and IP in AI and machine learning solutions?
Yes. You own 100% of the code, repositories, large language models, and intellectual property from day one. This is especially important for regulated AI operationalization where you may need to demonstrate ownership to auditors or during foreign principals reviews. Sharing personal identifying information with vendors creates risk, owning your code eliminates that concern.
What makes SoftDoes different from a typical agency in AI operationalization?
Senior engineers, direct communication, and production-focused ai operationalization in florida rather than volume-based outsourcing. We don’t just build, we take responsibility for systems that work in production. Our chief technology officer-level expertise means we can advise on architecture decisions, not just execute tasks.
How do you price projects involving AI and machine learning operationalization?
Engagements are structured around clear scope and outcomes. We focus on long-term value, not lowest upfront cost. We’re transparent about cloud and AI compute costs so there are no surprises.
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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