
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
- 01Artificial Intelligence Development
> Systems That Think With Your Business Logic <
Our artificial intelligence development practice starts with a thorough understanding of the problem you are trying to solve. We design AI models that analyze data from your existing pipelines and surface actionable insights rather than abstract scores. The goal is always enhanced decision making rooted in your domain, not generic output from a foundation model. We work across natural language processing, computer vision, and predictive analytics to address problems that off the shelf ai tools cannot reach. Whether you need to extract meaning from unstructured documents or perform tasks that require greater accuracy than manual review, our engineers handle architecture, training, validation, and handoff. Aurora companies operating in regulated environments get solutions with governance structures and audit trails from day one.
- End to end model architecture and training
- Explainability and bias testing for regulated use
- Integration with existing enterprise data infrastructure
- Governance documentation aligned with Colorado requirements
- Ongoing model monitoring and retraining pipelines
> WHEN AI NEEDS TO EARN TRUST <
How do you deploy artificial intelligence in a setting where every prediction must be defensible and transparent?
- Interpretable model outputs for stakeholder review
- Automated audit logging across decision points
- Compliance readiness for state and federal standards
- Fairness validation across demographic segments
- 02Machine Learning Model Development
> FROM RAW DATA TO PRODUCTION READY MODELS <
Machine learning algorithms improve accuracy as they process more data, but only if the underlying pipeline is engineered correctly. Our team handles feature engineering, model selection, hyperparameter tuning, and fine tuning so that your ai models learn from the right signals. We work with structured and unstructured datasets, including time series, text, imagery, and sensor telemetry. Aurora organizations dealing with vast amounts of sensitive information get secure, compliant pipelines from the start. We do not stop at a notebook demo. Every model we train is packaged for deployment with inference optimization, drift detection, and automated retraining triggers. Deep learning architectures using multilayered neural networks are applied where the complexity of the problem demands it, such as medical imaging analysis or document intelligence. Our machine learning practice is designed to move from experiment to enterprise scale without rebuilding from scratch.
- Supervised, unsupervised, and reinforcement learning
- Custom models for domain specific classification and prediction
- Drift monitoring and automated retraining
- Secure data handling for PHI and regulated datasets
- Performance benchmarking against baseline metrics
- 03AI-Driven Process Automation
> ELIMINATE TEDIOUS TASKS WITHOUT LOSING CONTROL <
Repetitive tasks consume resources that should go toward strategy and innovation. Our AI driven process automation services target the workflows where intelligent automation delivers immediate ROI. Natural Language Processing enhances chatbot communication in these support workflows. We connect AI powered systems to your existing software stack so automation runs within your current infrastructure, not alongside it. Aurora companies across sectors use our automation solutions to reduce costs while maintaining accuracy and compliance. AI can automate repetitive tasks, increasing efficiency and productivity across departments to save time for internal teams while maintaining control. We design workflows that operate around the clock, ensuring consistent performance without manual oversight. Every automated process includes exception handling, logging, and human escalation paths so your team stays in control of what matters.
- Intelligent document extraction and routing
- Workflow orchestration with exception handling
- Integration with ERP, CRM, and legacy systems
- Real time visibility into process status and throughput
- Continuous optimization based on operational feedback
- 04AI Operationalization
> GETTING AI FROM PROTOTYPE TO PRODUCTION <
Most AI projects stall between proof of concept and production. Our operationalization services close that gap. We handle containerized deployment, API management, load balancing, monitoring dashboards, and automated alerting so your ai systems run reliably under real world conditions. Aurora enterprises working with mission critical applications need infrastructure that does not fail under pressure, and that is exactly what we engineer. AI powered systems that operate around the clock require disciplined MLOps practices. We implement CI/CD pipelines for model updates, version control for datasets and artifacts, and rollback mechanisms that protect against regression. Our operationalization framework ensures your models stay accurate, compliant, and performant long after launch.
- Containerized model deployment with autoscaling
- MLOps pipelines for continuous integration and delivery
- Real time performance monitoring and alerting
- Version control for models, data, and configurations
- Rollback and failover mechanisms for production safety
- 05Custom AI Solutions
> ENGINEERED FOR YOUR SPECIFIC NEEDS <
Off the shelf ai tools solve general problems. Your business has specific ones. Our custom AI solutions are designed around your data, your workflows, and your compliance requirements, addressing complex problems that generic platforms cannot handle. From agentic ai systems that autonomously manage multi step processes to generative ai applications that produce content tailored to your brand, we engineer solutions that fit. Aurora companies competing in regulated and fast moving markets need AI that adapts to their specific needs rather than forcing them into a vendor's template. We work with your team to define requirements, validate assumptions with real data, and iterate until the solution meets your measurable outcomes. The result is software your organization owns completely, with no licensing dependencies or black box limitations.
- Agentic ai for autonomous multi step workflows
- Generative ai for content, code, and design automation
- Answer assist systems for customer questions and order status
- Recommendation engines for personalized customer experience
- Predictive analytics for churn, demand, and risk
> Systems That Think With Your Business Logic <
Our artificial intelligence development practice starts with a thorough understanding of the problem you are trying to solve. We design AI models that analyze data from your existing pipelines and surface actionable insights rather than abstract scores. The goal is always enhanced decision making rooted in your domain, not generic output from a foundation model. We work across natural language processing, computer vision, and predictive analytics to address problems that off the shelf ai tools cannot reach. Whether you need to extract meaning from unstructured documents or perform tasks that require greater accuracy than manual review, our engineers handle architecture, training, validation, and handoff. Aurora companies operating in regulated environments get solutions with governance structures and audit trails from day one.
- End to end model architecture and training
- Explainability and bias testing for regulated use
- Integration with existing enterprise data infrastructure
- Governance documentation aligned with Colorado requirements
- Ongoing model monitoring and retraining pipelines
> WHEN AI NEEDS TO EARN TRUST <
How do you deploy artificial intelligence in a setting where every prediction must be defensible and transparent?
- Interpretable model outputs for stakeholder review
- Automated audit logging across decision points
- Compliance readiness for state and federal standards
- Fairness validation across demographic segments
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
AI in finance detects fraud, scores risk, and automates compliance. Machine learning uncovers patterns and flags anomalies quickly. We build secure, compliant systems that reduce risk and speed responses.
Healthcare
AI models analyze medical images, support personalized care, and automate workflows. All solutions meet HIPAA and data protection standards.
Education
Generative AI personalizes learning, supports faculty, and streamlines administration. Aurora University fosters AI literacy and ethics. We create AI tools for curriculum and analytics with privacy and governance.
Construction
AI helps construction optimize schedules, monitor safety, and predict costs. Our systems process sensor data and project records for better planning and execution. Aurora firms gain real-time manufacturing and logistics insights.
Technology
Aurora tech companies use AI to accelerate development, automate testing, and analyze big data. We deliver custom models and deep learning integrated into existing stacks for specific tasks.
Startups
Startups get AI systems that scale without rebuilds. We help Aurora startups design AI from MVP to production with senior engineering expertise and enterprise-grade solutions.
Compliance
Aurora has plans for the adoption of AI governance frameworks to ensure ethical technology deployment, and compliance focused organizations need systems that meet those standards.
Energy
Energy companies use AI for predictive maintenance and anomaly detection to prevent failures. Our AI analyzes sensor data for early wear detection. Aurora firms boost efficiency by automating monitoring and resource allocation.
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 AI Development Project
Aurora businesses ready to move beyond experimentation deserve an engineering partner who understands both the technology and the local landscape. Reach out for a direct technical conversation about your project, your data, and what makes aurora ai initiatives succeed.

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 Aurora, IL – 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
Every SoftDoes project is staffed with senior engineers who have direct experience designing and deploying ai systems in production. There are no junior developers learning on your project. You communicate directly with the people writing your code and training your models. This eliminates the overhead of project managers translating technical decisions through various levels of hierarchy. The result is faster iteration, fewer misunderstandings, and solutions shaped by people who understand both computer science and business context. Your team gets a technical counterpart, not a managed service layer.
- 02Predictable Delivery
We commit to clear timelines and hold ourselves to them. Every ai development engagement starts with a detailed scope, milestone plan, and defined deliverables before any engineering begins. You know what is happening at each stage and when to expect it. Our process accounts for the uncertainty inherent in machine learning experimentation without letting timelines drift. Regular checkpoints keep your leadership informed and aligned. Predictable delivery means your business planning does not depend on guesswork about when your AI will be ready.
- 03Built to Last Past Launch
We engineer ai solutions for long term operation, not just a successful demo. Every system includes monitoring, alerting, documentation, and retraining pipelines that keep models accurate after deployment. Code quality standards ensure that any qualified engineer can maintain and extend the system after handoff. We design for durability because AI that degrades after launch wastes every dollar you invested in its creation. Data integrity is crucial throughout the AI lifecycle, and our architecture reflects that principle. Your ai system will perform reliably for years, not just through the first quarter.
- 04No Babysitting Required
SoftDoes teams manage their own work. We set internal deadlines, run our own standups, and flag issues proactively before they affect your timeline. You will never need to chase us for updates or remind us about deliverables. Our communication cadence is designed to keep you informed without consuming your calendar. This matters especially for Aurora founders and CTOs who have limited bandwidth and need a partner that operates independently. You focus on your business while we handle the engineering.
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 AI development projects in Aurora?
We use structured communication channels including weekly syncs, shared project boards, and asynchronous updates through Slack or your preferred tool. Every ai development milestone includes a review session where you see working software and can redirect priorities. Aurora clients receive the same direct access to senior engineers regardless of project size. We document decisions and technical rationale so nothing gets lost between meetings. Time zone alignment with Aurora means real time collaboration during business hours. You always know who is responsible for what and where the project stands.
What types of artificial intelligence development projects are a good fit for SoftDoes?
We take on projects ranging from focused MVPs to complex enterprise deployments. If your challenge involves custom models, data pipeline engineering, process automation, or deploying ai systems into production, we are a strong match. We work with organizations that need natural language processing, computer vision, predictive analytics, or generative ai capabilities tailored to their domain. Short engagements like feasibility studies and model audits are equally welcome. The common thread is that we solve problems where generic AI platforms fall short. If your project requires engineering depth and domain sensitivity, reach out.
Do you develop AI MVPs or only large enterprise systems in Aurora?
We do both. Many Aurora engagements start as an MVP to validate a hypothesis with real data before committing to a full deployment. Our ai development process is designed to transition cleanly from prototype to production without rebuilding core components. Startups often begin with a focused model and expand as their user base and data volumes increase. Enterprise clients may start with a pilot in one department and roll out across the organization. We structure every engagement so early work directly feeds later phases. No throwaway code, no wasted effort.
How do you measure the success and accuracy of artificial intelligence models?
We define success metrics before training begins, aligned with your business objectives rather than abstract benchmarks. AI enables faster, more accurate predictions for decision support, and we validate that claim against your actual data. We run holdout testing, cross validation, and where appropriate, A/B comparisons against existing processes. Model performance is monitored continuously after deployment to catch drift or degradation. Every metric is reported in a format your stakeholders can understand without a computer science background.
What happens after AI development project launch in Aurora?
Launch is a milestone, not an endpoint. We offer ongoing support that includes model monitoring, retraining, infrastructure maintenance, and feature enhancements. AI models can be vulnerable to data breaches and tampering, so our post launch services include security monitoring and anomaly detection on both inputs and outputs. We track model accuracy over time and trigger retraining when performance degrades. Aurora clients receive documented runbooks so internal teams can handle routine operations independently. If you need to extend or modify the system later, our architecture makes that straightforward.
Will our Aurora company own the AI code and intellectual property?
Yes. You own all code, trained ai models, documentation, and related intellectual property produced during the engagement. This includes custom training data pipelines, model weights, configuration files, and deployment scripts. We do not retain licenses, royalties, or usage rights over anything we engineer for you. Full ownership means you can modify, extend, or hand off the system to another team without restrictions. We transfer all artifacts through your preferred repository with complete commit history. Your investment stays entirely under your control.
What makes SoftDoes different from a typical AI development agency?
Most agencies staff projects with generalists and manage through layers of coordination. SoftDoes assigns senior engineers who own the technical direction of your ai development from start to finish. We focus on production readiness rather than impressive demos that never ship. Our experience with regulated industries means we handle compliance, explainability, and governance as core engineering concerns, not afterthoughts. We operate as an extension of your team, not a vendor behind a ticket queue. That direct, accountable approach is what makes aurora ai projects with SoftDoes consistently reach production.
How does SoftDoes price artificial intelligence development projects?
We scope every engagement individually based on complexity, data requirements, integration points, and timeline. After an initial discovery session, we present a detailed proposal with clear deliverables and cost structure. Our pricing reflects the seniority of the engineers assigned and the depth of ai development work required. There are no hidden fees or surprise charges mid project. We offer both fixed scope and time and materials arrangements depending on the nature of the work. Every engagement is structured so you understand exactly what you are paying for and what you will receive.
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.


































