Something people can use.
Build the interface, backend, APIs, and integrations around a clear user journey. Define what the first release must do and what can wait.
FROM IDEA TO WORKING PRODUCTTurn your AI idea
Turn your AI idea
into a working product.
Give your startup or business a product people can use. SVITS brings together technical leadership and AI-native engineers to define, build, and launch the first useful version.
BUILD A PRODUCT AROUND THE PROBLEM
The AI feature is part of the product.
A useful release connects the user experience, application, data, and AI behavior into one working system.
An AI feature with a purpose.
Choose where AI helps, connect the data it needs, and evaluate its output against the task. Model choice follows the product requirements.
A system ready to operate.
Plan testing, deployment, access controls, monitoring, and support alongside the feature work. The application needs to keep working after launch.
A CLEAR FIRST VERSION
Make the idea testable.
An AI MVP is the smallest useful product that lets real users try the workflow and gives your business something concrete to learn from.
Explore CTO leadershipStart with the user and outcome.
Define who will use the product, the problem it solves, and what a successful result looks like. Those decisions set the scope of the first build.
Use AI-native engineering.
Our engineers use AI in their development workflow and build the software around AI features. Architecture, code review, testing, security, and product judgment remain engineering responsibilities.
Choose the leadership you need.
Build under Alex’s advisory or CTO leadership, or work with SVITS engineers under your own technical lead. The team can cover application, AI, data, platform, and QA work.
HOW WE START
From the first decision to the next release.
Keep the first scope useful and connect each engineering step to the product goal.
Define the first use.
Agree the user journey, useful outcome, and boundaries of the first release.
Design the approach.
Review data, models, integrations, architecture, and quality requirements.
Build and evaluate.
Develop the application and AI features, test the workflow, and review results.
Launch and improve.
Release for users, observe how it works, and agree the next priorities.
SELECTED WORK
Products built from the beginning.
Technical leadership and engineering teams working together through the build.
PRECISION MEDICINE
PGxCare / pgx.ai
SVITS built the genetic and clinical data platform from scratch under Alex’s CTO leadership, including HIPAA and SOC 2 engineering.
Explore the project AI & BEHAVIORAL HEALTHBenehab
Alex and SVITS built the platform from scratch, combining voice AI and behavioral-health analysis to support care between visits.
Explore the project COMPLETE PLATFORM DELIVERYCryptoBee 🚀
SVITS built the entire crypto-to-cash platform under Alex’s architecture and CTO leadership. The company acquired two competitors before exit.
Explore the projectWORKING WITH SVITS
Planning your AI product.
What to define before the build and what shapes the work.
Do we need a finished specification to start?
No. Start with the business problem, intended users, and what the first useful version should do. We can work with you on the scope, technical direction, and team needed to build it.
What belongs in an AI MVP?
The core user workflow, the application and data it needs, and an AI feature that can be evaluated against its intended task. The first scope should let users try something useful and help you decide what to build next.
Do you build custom AI models or use existing services?
The choice depends on the task, data, quality requirements, privacy, and operating cost. We discuss suitable existing models and services alongside the application work before deciding whether a more specialized approach is needed.
How is the AI feature evaluated?
Define representative inputs and what useful output means for the task. Evaluate quality, failure cases, response time, and operating cost, then test the complete workflow with the people who will use it.
What determines the development cost and timeline?
The first-release scope, data readiness, integrations, AI quality requirements, security, and operating needs determine the work. We discuss those factors before proposing a delivery scope and estimate.
Can SVITS continue after the first release?
Yes. We can discuss continued engineering for product improvements, platform reliability, AI evaluation, and subsequent releases. Ongoing responsibilities and support are agreed as part of the engagement.
START WITH YOUR BUSINESS GOAL
What would a useful first version do?
Describe the idea and who it helps. We can work through the technical plan together.
Tell us what you want to build