01
AI products and platforms
We design and build end-to-end AI services: user interfaces, backend, billing, model management, data storage, and analytics.
AI systems for business · Applied R&DLab / 01
Transforming processesinto working AI systems.
We identify operational bottlenecks and turn them into AI systems — from diagnosis and architecture to integration and production. Our R&D practice advances agents, MCP, and AI security.
Operational field / 01Live model
How we work
From operational signals to a working system.
InputOperations and data
OutputAI system
Leverage pointPoint of change
/ 01Diagnosis
/ 02Architecture
/ 03Implementation
One continuous workflow: from observation to production.
Observe · Recode · Deploy/ 01
AUDIT
identify bottlenecks and decision points
/ 02
BUILD
design, integrate, and launch
/ 03
R&D
advance agents, MCP, and AI security
Portfolio
Products and implementations
Proprietary services, open-source infrastructure, and custom AI systems built to solve specific user and business challenges.
Selected products, systems and integrations
No published records
There are no published projects in this category yet.
What we build
From an AI prototype to a working business system
We build our own products and help companies implement artificial intelligence in real processes: sales, support, analytics, negotiations, and e-commerce.
Research → Architecture → Production
02
AI agents
We build autonomous and semi-autonomous agents for support, sales, negotiations, data analysis, and executing operations in external systems.
03
MCP and agentic commerce
We connect online stores, APIs, and internal systems to AI agents through the Model Context Protocol and proprietary integration layers.
04
RAG and knowledge bases
We build assistants that use websites, documents, catalogs, and corporate data to provide accurate and verifiable answers.
05
Integrations and automation
We integrate AI with CRM, ERP, TMS, e-commerce CMS platforms, data stores, queues, messengers, and internal APIs.
06
AI system security
We develop access controls, operation-execution policies, personal data protection, and validation of AI-agent requests.
Team
One founder and a team of AI agents
I independently design products, develop frontend and backend systems, and build AI agents, integrations, and infrastructure. AI agents help accelerate research, development, testing, content work, and the automation of repetitive processes.
Founder / 01
Alexey Sharapov
Founder and AI Product Engineer
Alexey Sharapov
01
More than 15 years of experience in product and marketing, including fintech (Alfa, BCS).
02
Engineering background: MEPhI, specializing in information security.
03
Full development cycle: research, architecture, frontend, backend, AI, and deployment.
04
A practical focus on working products, automation, and measurable results.
Internal AI team
01
Development and code review
02
Research and analytics
03
Operational agents
Section 06Field notes
RiserLabs Notes
Service updates, MCP security, and the evolution of standards for AI agents.
01
We’re Willingly Giving Up Control — And Enjoying It
Everyone is still waiting for Skynet, a machine uprising, or sudden mass unemployment. The media diligently fuels this narrative: “the model is too dangerous,” “existential risk,” “urgent regulation is needed.” But the real transformation is much quieter and far more radical. Widespread deep…
Read more→
02
🔓 Open-Sourced: RiserFlow — The AI Commerce Framework
Over the past few months at RiserLabs, we’ve been building AI assistants for e-commerce. Along the way, we realized something crucial: the hardest part isn't the chat interface or the widget. The hardest part is teaching an AI agent to reliably interact with a real store—finding products,…
Read more→
03
From “Dumb Bots” to Smart Advisors: Why AI Chat Widgets Are Finally Winning People Over
A couple of years ago, the phrase “we have a chatbot on our website” didn’t spark curiosity — it triggered fatigue. You see it most in big corporations: you contact support, and a scripted robot pops up with button-based flows that don’t understand context, mix up terms, and deliver answers that…
Read more→
04
Clients Leave While Your Sales Team Sleeps: How an AI Assistant Rescues Evening Traffic
A familiar picture: it's 8 PM, a person has finally finished their work tasks, opened their laptop, and is ready to place an order or choose a contractor. They visit a website, study the offer, but still have a couple of questions about delivery, warranty, or compatibility. A chat icon hangs in the…
Read more→
05
AI Assistants Are Easy to Launch. The Real Value Is Context, Control, and Trust
Over the last couple of years, building an AI assistant has become relatively straightforward: pick an LLM, write a prompt, and embed a chatbot widget into a website or app. But in real business deployments, teams quickly discover the hard part isn’t “making it answer” — it’s solving three…
Read more→
06
Update: More widget customization and smarter lead delivery
We’ve shipped a major update that makes the widget more flexible and lead handling faster and more actionable. What’s new: AI Widget customization 3 button styles to choose from any color to match your brand ability to create custom call‑to‑action (CTA) buttons Automatic AI seller lead delivery…
Read more→
Contact / 01Secure channel
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