Long-term vision
We create solutions that grow with your business
Built by engineers, not hype
Redesign your business around AI
We help product companies automate, accelerate, and rethink the way they operate with tailored AI systems that actually work
Who we are
Autonomous AI solutions for real business impact
Edge of AI is a strategic AI and software development partner for companies that value long-term thinking, product quality, and the real-world impact of technology
Attention to the unseen
We notice the details that change the outcome
Beyond trends
We shape the future while staying ahead
Engineered to endure
Our solutions are resilient, elegant, and lasting
Our expertise
Full-cycle digital systems, built for real-world efficiency
We build end-to-end AI solutions from cloud systems to user-facing products designed to speed up operations, eliminate friction, and support scale
React Native
NestJS
AWS
GCP
Firebase
Terraform
We don't wrap tools in AI buzzwords
We thoughtfully rework core systems with clarity, depth, and expertise
25
years of experience in IT industry
50x
faster system response under real production
60%
faster release cycles with full CI/CD
30%
lower development and operational costs overall
Case Study
From vision to delivery: building PokerBoss from the ground up
Over two years, we built a strong cross-functional team and efficient workflows, scaling PokerBoss from prototype to production with custom architecture and AI-driven quality automation
About Edge of AI
25 years in tech
Edge of AI is the engineering studio shaped by Founder and CEO Sergey Morkovkin. More than two decades in, he treats quality like a first-class feature, not a post-launch aspiration
- Business × Technology
- Consistent DX/UX
- Unified Architecture
- AI-Driven Automation
Our mission sets the tone for everything we do: architecture-first, future-aware, precise. Every solution we deliver is crafted like a timepiece, elegant, deliberate, and engineered for clarity and value
Sergey Morkovkin, Founder & CEO
Publications
The practice behind intelligent systems
18 Mar '25
Building AI Systems That Don't Hallucinate
Practical frameworks start with clean data, clear boundaries, and validation at every stage
02 Feb '25
From Prototype to Platform
Designing AI that survives scale means stability, monitoring, and measurable risk
14 Jan '25
Human-in-the-Loop as Principle
Resilient systems pair automation with intentional handoffs and accountability
Who we worked with
Trusted by teams who don't settle for just works
Jonathan Miles
VP of product, Twilio
The team built a production-grade pipeline with enterprise rigor and startup velocity
Daria Nguyen
Head of AI ops, Microsoft
Every model had boundaries, owners, and a clear path to monitoring
Start shaping your AI strategy with experts
Clarify your goals, explore use cases, and build with confidence
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