
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
- 01Custom AI Solutions
> TAILORED GENERATIVE AI INNOVATION FOR UNIQUE CHALLENGES <
Custom AI is engineered around proprietary data and unique workflows, creating capabilities that competitors simply cannot replicate. As an AI company, we work across the full spectrum of AI techniques, from generative AI development and large language models to predictive modeling and physical AI applications. We create solutions that connect directly to your company's internal databases and integrate seamlessly into daily systems. Our team handles custom generative ai, legacy system integration, and architecture that supports future expansion. We also design for measurable business value from the start, including use cases in e-commerce. Faster production deployment gives Austin teams a competitive edge.
- Custom algorithm engineering
- Proprietary dataset integration
- Industry specific model training
- Legacy system connectivity
- Scalable cloud architecture
> COMPREHENSIVE AI STRATEGY DEVELOPMENT <
Where should your organization implement AI first to generate the strongest return? We answer that question through structured assessments that map your technology landscape, identify high value use cases, and define a realistic implementation roadmap.
- Technology roadmapping
- ROI and risk assessment
- AI readiness evaluation
- Implementation planning
- 02Artificial Intelligence Development
> INTELLIGENT SYSTEMS: Engineered for Success <
Austin companies face a straightforward reality: generic AI tools cannot match what a system trained on your own data and workflows can accomplish. Our artificial intelligence development services focus on engineering AI systems that reflect how your organization actually operates. We work with your team to identify where intelligent automation, pattern recognition, or decision support will have the most measurable impact. Every engagement starts with understanding the specific business problem, not applying a template solution. Whether you need computer vision for visual inspection, natural language processing for document review, or predictive analytics for operational forecasting, we architect and train models that fit your environment. Our engineers handle everything from data engineering and feature engineering through deployment and validation. The result is an AI system that works within your daily operations, not a disconnected experiment that never leaves the lab.
- Machine learning algorithm design
- Neural network architecture
- Computer vision pipelines
- Natural language processing
- Predictive analytics engines
- 03Machine Learning Model Development
> DATA DRIVEN MACHINE LEARNING INSIGHTS THAT DRIVE RESULTS <
Machine learning models can analyze disparate data to reveal hidden patterns that manual analysis would miss entirely. We handle classification, regression, clustering, and recommendation systems depending on the problem at hand. Austin businesses working with us get models tuned for their specific domain, not repurposed from another industry. A model that performs well in a notebook means nothing if it fails at production volume. We test extensively for edge cases, data drift, and performance under load before any deployment. Our team documents every model decision so your internal staff can maintain and retrain as conditions change. That approach turns a machine learning investment into a long term asset rather than a one time experiment.
- Classification and regression models
- Clustering algorithm design
- Recommendation engine creation
- Time series forecasting
- Model validation and testing
- 04AI Operationalization
> SEAMLESS AI INTEGRATION INTO DAILY OPERATIONS <
Most AI projects fail not at the prototype stage but during the transition to production. We specialize in taking validated AI models and embedding them into your operational infrastructure so they run reliably at full volume. That means containerized deployment, AI-powered automation that helps automate repetitive tasks in workflows such as document processing and routing, automated retraining pipelines, performance monitoring dashboards, and alerting when model accuracy drifts. These systems also automate tasks across internal operations to improve operational efficiency. Our engineers handle the AI infrastructure so your team can focus on using the insights and gaining a competitive edge. Operationalization also means your people know how the system works. We conduct hands on training sessions, produce clear documentation, and ensure your internal team can manage the system independently. Integration with CRMs, ERPs, and other enterprise data platforms happens through well documented APIs so new capabilities integrate seamlessly. The goal is a system your entire organization can rely on without calling us for every adjustment.
- Production model deployment
- Performance monitoring setup
- Existing system integration
- Team training and handoff
- Ongoing optimization cycles
- 05AI-Driven Process Automation
> AUTOMATE WORKFLOWS WITH INTELLIGENT PRECISION <
Repetitive tasks consume your best people. AI driven automation targets those bottlenecks directly, handling document processing, customer service routing, inventory adjustments, and financial workflows without constant human oversight. We design automation that connects to your existing systems, pulling from internal databases and pushing results where they need to go. AI driven automation can reduce manual processing time significantly, freeing senior staff for higher value work. Our approach goes beyond simple rule based scripting. We engineer intelligent agents that learn from exceptions, adapt to new patterns, and flag only what genuinely requires human attention. Austin companies using our automation services see faster throughput and fewer errors in their core operations. Every automation we implement includes monitoring, logging, and audit trails so your compliance team stays confident.
- Document processing automation
- Intelligent customer service routing
- Inventory and supply chain optimization
- Financial workflow automation
- Quality assurance monitoring
> TAILORED GENERATIVE AI INNOVATION FOR UNIQUE CHALLENGES <
Custom AI is engineered around proprietary data and unique workflows, creating capabilities that competitors simply cannot replicate. As an AI company, we work across the full spectrum of AI techniques, from generative AI development and large language models to predictive modeling and physical AI applications. We create solutions that connect directly to your company's internal databases and integrate seamlessly into daily systems. Our team handles custom generative ai, legacy system integration, and architecture that supports future expansion. We also design for measurable business value from the start, including use cases in e-commerce. Faster production deployment gives Austin teams a competitive edge.
- Custom algorithm engineering
- Proprietary dataset integration
- Industry specific model training
- Legacy system connectivity
- Scalable cloud architecture
> COMPREHENSIVE AI STRATEGY DEVELOPMENT <
Where should your organization implement AI first to generate the strongest return? We answer that question through structured assessments that map your technology landscape, identify high value use cases, and define a realistic implementation roadmap.
- Technology roadmapping
- ROI and risk assessment
- AI readiness evaluation
- Implementation planning
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Custom AI powers fraud detection, credit risk scoring, and trading models for financial firms. We develop AI systems that handle sensitive data securely and comply with regulations, delivering actionable investment insights.
Healthcare
Accurate AI models trained on domain-specific data support diagnostic imaging, patient data platforms, and treatment optimization. Our healthcare AI solutions integrate smoothly with clinical systems to improve decisions.
Education
Personalized learning platforms and analytics help educational institutions address individual needs beyond manual methods. Our AI services include administrative automation and intelligent content recommendations.
Construction
AI optimizes project management, safety monitoring, and predictive maintenance in construction. Custom AI adapts to local needs like real estate valuation and resource scheduling on complex jobsites.
Technology
Software firms and SaaS platforms enhance user engagement and operational efficiency with our AI integration. We deploy AI features that fit existing product architectures without disruption.
Startups
Startups benefit from rapid prototyping, MVPs, and proof of concept work to validate AI strategies. We design scalable AI systems that support fast growth without technical debt.
Compliance
Automated reporting, bias detection, and regulatory tracking reduce compliance burdens. Our AI consulting includes governance and audit trails aligned.
Energy
AI models process real-time sensor and market data for demand forecasting, grid optimization, and renewable energy management. Our solutions support cleaner, more efficient energy 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.
Get Started with Custom AI Solutions
Austin is home to a fast moving AI ecosystem, and your business deserves a trusted technology partner with deep expertise in this space. Reach out for a direct technical conversation about your AI project, and let us show you what a focused engineering team can accomplish.

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 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
Your AI project is handled by senior engineers who participate in every technical conversation and decision. There are no account managers or junior coordinators filtering communication between you and the people writing code. You speak directly with the same engineers who design your architecture and train your models. That direct access accelerates problem resolution and eliminates the miscommunication that plagues larger agencies. Questions get answered in hours, not days. This structure is a natural fit for founders and CTOs who value clarity over ceremony.
- 02Predictable Delivery
Every AI project follows a structured delivery framework with defined milestones, transparent timelines, and regular progress updates. We break complex work into focused sprints so you can see tangible results at every stage. There are no surprise delays or vague status reports. Each milestone includes working demonstrations and documented outcomes you can evaluate against your business goals. Our methodology has been refined through years of custom software development for enterprise clients and startups alike. You always know exactly where the project stands.
- 03Built to Last Past Launch
AI systems we engineer are designed for long term success, not just a successful demo day. Code quality standards, thorough documentation, and clean architecture ensure your team can maintain and extend the system independently. We use containerized deployment, version controlled model pipelines, and modular design so future changes do not require a full rebuild. Every component is tested for resilience under real production loads. Monitoring and alerting are included from the start, not added as an afterthought. The system you receive is an asset that appreciates over time as your data and requirements evolve.
- 04No Babysitting Required
Our AI systems run autonomously with minimal ongoing intervention from your team. Self monitoring capabilities detect performance degradation and trigger alerts before problems affect your users. Automated error handling covers routine exceptions so your staff is not pulled into constant troubleshooting. We include comprehensive training and complete knowledge transfer during handoff so your internal team owns the system fully. Ongoing support is available when needed, but the goal is independence. You get a production system that works in the background while your team focuses on what matters.
Technologies We Use
AI MODELS & LLMs
ML FRAMEWORKS
MLOPS & AI INFRASTRUCTURE
AI CLOUD PLATFORMS
AI AUTOMATION TOOLS
DATABASES / DATA INFRASTRUCTURE
Frequently Asked Questions
Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?
How is communication handled for custom AI projects in Austin?
We use a combination of scheduled video calls, shared project dashboards, and direct messaging with your assigned engineering team. There are no intermediaries filtering information between you and the people doing the work. Weekly status updates cover progress, blockers, and upcoming milestones in plain language. You can reach senior engineers directly for urgent questions at any time during business hours. All project artifacts, code, and documentation are accessible to your team through shared repositories. This transparency keeps everyone aligned and decisions moving quickly throughout the AI project.
What types of AI solution projects are a good fit for SoftDoes?
We work across a wide range of AI engagements, from rapid proof of concept work through full enterprise AI platform development. Ideal projects involve real business problems where custom AI offers clear advantages over off the shelf tooling. We serve companies that need generative AI solutions, machine learning model creation, workflow automation, or AI integration with existing systems. Startups looking for focused MVPs and commercial enterprise teams managing complex data environments are both a strong match. We are equally comfortable with short exploratory sprints and multi phase implementations. If your project requires technical depth and production grade engineering, we should talk.
Do you develop AI MVPs or only large enterprise AI systems?
We handle both. A focused proof of concept is often the right first step to validate assumptions before committing to a larger engagement. Many of our Austin clients start with a targeted MVP that tests a specific hypothesis against real data, then expand into production systems once results confirm the approach. We design MVPs with production architecture in mind so the transition is smooth rather than a full rewrite. Large scale AI implementations follow the same engineering rigor but with broader scope and deeper integration requirements. Our engagement model adapts to your timeline and business goals.
How do you measure the success and accuracy of custom AI models?
We define success metrics before any model training begins, aligning technical performance indicators with your business outcomes. Standard metrics include accuracy, precision, recall, F1 score, and ROC AUC depending on the problem type. Beyond statistical measures, we track business KPIs such as time saved, error reduction, and decision making speed improvement. Organizations that align AI projects with measurable business outcomes see stronger ROI consistently. Continuous monitoring in production catches performance drift early so models stay reliable over time. We report results in terms your leadership team can act on, not just data science jargon.
What happens after the custom AI solution launch?
Launch is the beginning of an AI system's useful life, not the end of our involvement. We monitor deployed AI models for accuracy degradation, data drift, and infrastructure performance during a defined post launch period. Retraining schedules are established based on how quickly your data environment changes. Security patches and compliance updates are applied as regulations like the Texas Data Privacy and Security Act evolve. We transfer full operational knowledge to your team through documentation and training sessions. Ongoing support arrangements are available for teams that want continued partnership on optimization and new feature development.
Will we own the code and IP for our custom AI solution?
Yes. Full intellectual property ownership transfers to you upon project completion. That includes all source code, trained AI models, configuration files, documentation, and repository access. We do not retain licenses, usage rights, or any claim on the work we produce for your organization. Everything is delivered through your own code repositories with complete version history. You walk away with a fully documented, independently maintainable custom AI system that belongs entirely to your company.
What makes SoftDoes different from a typical AI development agency?
Most agencies assign junior developers behind a polished sales layer. At SoftDoes, the senior engineers who assess your AI project are the same people who architect and execute it. We maintain deep expertise across artificial intelligence, data engineering, and custom software development rather than outsourcing specialized work. Our team operates with the technical ownership and accountability of an in house engineering group, not a vendor filling seats. Every engagement is structured around delivering measurable impact against defined business objectives. That focus on substance over presentation is why Austin businesses and enterprise clients across the U.S. choose us as their trusted technology partner.
How do you price custom AI projects?
Pricing is based on project scope, technical complexity, data requirements, and team composition. We typically start with a scoping conversation that produces a detailed estimate broken into phases so you can manage investment incrementally. AI projects typically require a focused team for development, and we staff appropriately rather than padding with unnecessary roles. Transparent cost estimation means no hidden fees or surprise invoices at the end. Flexible engagement options include fixed scope, time and materials, or retainer arrangements depending on your preference. Every proposal clearly maps costs to deliverables so you know exactly what you are paying for in your custom AI solution.
What to Expect on a Discovery Call with a Software Development Company
A discovery call with SoftDoes is a 30 minute conversation to determine whether your business challenges align with our engineering expertise. There is no sales pitch, no pressure, and no expectation that you arrive with a technical specification. You explain your current situation, we ask questions, discuss possible directions, and together decide whether moving forward makes sense.
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