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 FOR SPECIFIC NEEDS <
Custom AI solutions in San Jose are most useful when the problem is specific, the data is proprietary, and the workflow cannot be handled well by a generic tool. We design tailored solutions around your business rules, data quality, user roles, and technical constraints. Silicon Valley hosts specialized enterprise programs that vet emerging AI technologies, yet selecting a tool is only one part of implementation. SoftDoes focuses on the full path from AI consulting and architecture to software development, model training, integration, and ongoing management.
- AI strategy
- Data architecture
- Model engineering
- Secure integration
- Performance tracking
> FROM IDEA TO WORKING SYSTEM <
Is a custom AI solution the right fit for your company? It is often the right choice when your process contains valuable data, repeated decisions, quality issues, or customer engagement gaps that standard software cannot solve cleanly.
- Discovery first
- Prototype review
- Controlled rollout
- Continuous improvement
- 02Artificial Intelligence Development
> Practical AI for Real Operations <
Our artificial intelligence development turns a specific business problem into an AI powered system that can reason over data, automate decisions, and support daily work. A San Jose company often needs this when generic software cannot handle unique challenges, internal rules, or legacy processes. Custom AI solutions enable businesses to solve specific operational bottlenecks that generic software cannot address. San Jose is a major hub for custom AI development, and the local market expects technical expertise, security, and measurable performance rather than experiments that never reach users. We use a deep understanding of your workflows, data access, and quality control needs before choosing models, integrations, or user interfaces. The result is technology that fits the way your team already works.
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Conversational AI can be used for AI receptionists and custom chatbots for customer support. San Jose businesses utilize AI chatbots for various applications including customer support automation, internal process automation, sales enablement, onboarding, and knowledge management. Enterprises in San Jose are increasingly adopting AI chatbots to enhance customer engagement and operational efficiency, leveraging technologies like natural language processing and machine learning. AI chatbots in San Jose are developed with a focus on scalable architectures, data security, compliance, and integration with enterprise systems such as CRM and ERP. Custom AI agents can automate complex workflows and execute multi step tasks independently. Our team can also create AI driven solutions that connect with mobile apps, internal portals, and business software without forcing a full system replacement.
- Workflow mapping
- AI agent design
- Conversational support
- System integration
- Governance planning
- 03Machine Learning Model Development
> MODELS THAT TURN DATA INTO DECISIONS <
Machine learning model development uses structured data, historical activity, and predictive signals to make decisions more accurate and faster. For companies in San Jose, this matters when teams have large data sets but still rely on manual review, spreadsheets, or delayed reports. Predictive analytics uses machine learning for demand forecasting and inventory optimization. Data driven decision making is enhanced through custom models processing vast sets of historical and predictive data. Our work covers data preparation, feature selection, model choice, validation, and deployment planning. San Jose is the capital of Silicon Valley, making it a major hub for custom AI development where innovation, security, and measurable performance all matter. We work with classical models, deep learning, natural language processing, data analytics, and generative AI when the use case calls for them. Computer vision can implement object matching and automated inspection for manufacturing and autonomous vehicles. AI powered assistants can deliver context aware support, CRM and ERP actions, and lead generation workflows across sales and service operations. We also account for latency, explainability, access control, and the quality of source data. This prevents a model from looking accurate in a test setting while failing inside real operations.
- Predictive models
- Data preparation
- Feature engineering
- Model validation
- Decision analytics
- 04AI Operationalization
> PRODUCTION AI THAT STAYS ACCOUNTABLE <
AI operationalization turns a model into a working system with monitoring, security, version control, and clear ownership. Many organizations can run a proof of concept, but fewer have the resources to keep AI reliable in daily use. Custom AI can be engineered to integrate seamlessly with existing infrastructure and legacy systems. For San Jose businesses, this is important because operations often depend on a mix of newer cloud services, older tools, internal APIs, and strict data access rules. We plan deployment, monitoring, retraining triggers, access control, and AI governance before the model becomes part of a live process. This reduces surprises after launch and makes future improvement easier to manage. Public sector compliance can be maintained through custom AI solutions that follow local privacy frameworks. SoftDoes applies the same discipline to private company systems that must protect users, data, and decision quality.
- Model monitoring
- Drift detection
- Secure deployment
- Audit controls
- Legacy integration
- 05AI-Driven Process Automation
> LESS MANUAL WORK, MORE CONTROL <
AI driven process automation uses intelligent automation to handle repetitive tasks, route work, extract information, and support approvals across departments. Businesses are leveraging AI for customer service automation, which includes handling high volume queries and offering round the clock intelligent support. AI can complete tasks that previously took hours in just minutes, enhancing overall operational efficiency. A San Jose, CA, team may need this when workload rises faster than hiring capacity or when small errors create costly delays. Our automation work starts by reviewing the real process, not just the task that looks slow from the outside. Intelligent workflows powered by AI can optimize processes by analyzing existing workflows and identifying areas for improvement. Custom AI can help automate corporate finance tasks. We connect automation with existing software, data sources, approval logic, and user roles so people can still review important outcomes. This is useful for local businesses that need faster operations while keeping accountability, audit trails, and practical management in place.
- Task automation
- Error reduction
- Document parsing
- Approval routing
- Reporting automation
> TAILORED GENERATIVE AI FOR SPECIFIC NEEDS <
Custom AI solutions in San Jose are most useful when the problem is specific, the data is proprietary, and the workflow cannot be handled well by a generic tool. We design tailored solutions around your business rules, data quality, user roles, and technical constraints. Silicon Valley hosts specialized enterprise programs that vet emerging AI technologies, yet selecting a tool is only one part of implementation. SoftDoes focuses on the full path from AI consulting and architecture to software development, model training, integration, and ongoing management.
- AI strategy
- Data architecture
- Model engineering
- Secure integration
- Performance tracking
> FROM IDEA TO WORKING SYSTEM <
Is a custom AI solution the right fit for your company? It is often the right choice when your process contains valuable data, repeated decisions, quality issues, or customer engagement gaps that standard software cannot solve cleanly.
- Discovery first
- Prototype review
- Controlled rollout
- Continuous improvement
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Finance teams use custom AI to automate corporate finance tasks, improve fraud review, support risk models, and make reporting faster with secure data analytics and clear compliance controls.
Healthcare
Healthcare groups apply artificial intelligence to clinical operations, patient support, and research workflows. AI models can accelerate drug discovery by identifying new compounds.
Education
Education teams use AI solutions for adaptive learning, content review, student support, and learning management improvement, with data privacy and access control included from the start.
Construction
Construction operations use machine learning for project tracking, resource planning, image review, quality control, and field reporting, helping managers act on issues earlier.
Technology
Technology teams in Silicon Valley use generative AI, computer vision, and data analytics for product features, chip design improvement, software workflows, and platform intelligence.
Startups
Startups need tailored solutions that move from early validation to reliable use. We support founders with AI consulting, MVP engineering, automation, and careful data design.
Compliance
Compliance focused organizations use AI governance, audit trails, privacy controls, and local frameworks. Public sector compliance can be maintained through custom AI solutions.
Energy
Energy teams use optimization models, forecasting, and sensor analytics to reduce waste. Local innovators have successfully cut energy consumption through optimization models.
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 many of our partners right here in San Jose, CA – 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
SoftDoes works with senior engineers who understand AI, software, data, and production constraints. You speak with people who can reason through architecture, tradeoffs, implementation, and risk without passing every question through layers. This matters for San Jose businesses because the local market moves quickly and technical decisions have direct cost and performance impact. Our team brings hands on guidance across machine learning, natural language processing, workflow automation, and enterprise integration. We ask precise questions early so the system matches your specific needs. The goal is clear engineering work that earns trust through competence.
- 02Predictable Delivery
Predictable Delivery means your project has a clear plan, visible progress, and practical checkpoints. We define the problem, data requirements, integration points, and success measures before engineering work gets deep. This helps founders, CTOs, and operations leaders keep account of risk, scope, and resources. When a model depends on uncertain data, we make that visible instead of hiding it behind a polished demo. Our process supports customer satisfaction because decisions are based on evidence, not assumptions. You get a team that respects timelines and explains technical choices in plain language.
- 03Built to Last Past Launch
Built to Last Past Launch means the AI system is planned for real use, not only a presentation. We include monitoring, quality checks, access rules, documentation, and improvement paths. AI governance is part of the engineering conversation because performance, privacy, and fairness can change as data changes. Custom AI solutions should keep working when teams change, workflows expand, or new compliance rules appear. We pay attention to infrastructure, data flow, and operational ownership from the start. That is how technology solutions remain useful after the first release.
- 04No Babysitting Required
No Babysitting Required means the system should not create extra manual work just to keep it alive. We design AI powered workflows with alerts, logs, fallback paths, and clear management controls. When automation handles repetitive tasks, people should focus on judgment, review, and higher value decisions. Our engineering approach reduces the need for constant vendor calls or fragile workarounds. San Jose companies often need this because internal teams are already busy with product, operations, and customer needs. SoftDoes creates AI solutions that your team can understand, operate, and improve with confidence.
Frequently Asked Questions
How is communication handled for custom AI solutions in San Jose?
Communication is direct, structured, and technical enough for real decisions. You work with a SoftDoes team that can discuss data, software, AI governance, timelines, and implementation details without hiding behind vague updates. We usually set a clear meeting rhythm, shared documentation, and issue tracking so everyone can see progress. For San Jose businesses, we can also align with local working hours and practical collaboration needs. Complex topics are explained in plain language while still preserving the engineering detail a CTO would expect. The purpose is to keep your team informed without creating unnecessary meetings.
What types of AI projects are a good fit for SoftDoes?
SoftDoes is a strong fit when a company needs custom AI, data analytics, workflow automation, or enterprise software connected to real operations. We work well on projects where the solution must fit existing processes, legacy systems, user roles, and security needs. AI technologies are increasingly being adopted across various industries, including finance, healthcare, and e commerce, to enhance customer engagement and operational efficiency. A good project may involve generative AI, conversational AI, machine learning, computer vision, or intelligent automation. We are interested in focused MVPs, internal tools, customer facing systems, and larger enterprise platforms. The best starting point is a specific business problem with access to the data or workflows that influence it.
Do you build AI MVPs or only large systems?
We support both AI MVPs and larger systems. An MVP is useful when a company needs to validate feasibility, data quality, user response, or operational value before wider implementation. A larger system is appropriate when the use case is already clear and must integrate with production software, access controls, and reporting. Our AI consulting process helps decide which path makes sense for your risk level and resources. We avoid oversized first releases when a focused test would answer the main question faster. We also avoid throwaway prototypes when the project clearly needs a durable architecture from day one.
How do you measure the success and accuracy of an AI model?
Success starts with the business outcome, not only a model score. We define metrics such as accuracy, precision, recall, latency, error reduction, process speed, and user acceptance based on the task. For generative AI or natural language processing, we may also review answer quality, retrieval accuracy, safety checks, and human feedback. Data quality is measured because even a strong model can fail if the input data is incomplete or biased. We also track operational metrics after launch so performance can be managed over time. The final measure is whether the system improves the process it was created to support.
What happens after AI solution launch and deployment?
After launch, the AI system needs monitoring, support, and measured improvement. We help set up logs, performance checks, user feedback loops, and alerts for unusual behavior. Models may need retraining when data changes, workflows shift, or new edge cases appear. Security and compliance controls should also be reviewed as access patterns and usage grow. For San Jose companies, this is often the difference between a useful system and a pilot that slowly loses trust. SoftDoes keeps the focus on operational efficiency, reliability, and practical management after the release.
Will we own the AI code and intellectual property?
Ownership terms are defined clearly in the project agreement before engineering starts. In typical custom software development work, the client owns the agreed custom code, configuration, and project assets created for the engagement. We also clarify how third party models, cloud services, open source components, and licensed tools are used. This is important because AI systems often combine proprietary data, external services, and custom logic. Your company should understand what it owns, what it licenses, and what depends on outside platforms. Clear IP terms reduce future risk and make long term management easier.
What makes SoftDoes different from a typical AI agency?
SoftDoes approaches custom AI solutions in San Jose as engineering work, not as a campaign or a demo package. Our focus is architecture, data, software, security, model behavior, and integration with the systems your team already uses. We are comfortable working with founders, startups, CTOs, operations leaders, and technical teams that need direct answers. San Jose and Silicon Valley clients often have sophisticated expectations, so surface level AI talk is not enough. We bring technical expertise and plain communication into the same process. That combination helps turn innovation into technology that can survive real usage.
How do you price projects?
Pricing for custom AI solutions in San Jose depends on scope, data readiness, integrations, security needs, model complexity, and the amount of production engineering required. A focused automation tool is very different from a platform that connects many systems and supports many users. We first clarify the goal, constraints, success metrics, and technical risks. Then we outline the work in a way that helps your team understand the effort and required resources. We do not add prices here because every serious AI project has different assumptions. The best next step is a technical conversation with SoftDoes about your current system, data, and expected outcome.
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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 <a href='https://softdoes.com/'>custom software development company</a> 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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