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.
How we work
One continuous workflow: from observation to production.
Observe · Recode · DeployProprietary services, open-source infrastructure, and custom AI systems built to solve specific user and business challenges.
Selected products, systems and integrations
Security layer for MCP servers
A security layer for APIs and open MCP servers. The AgentBouncer SDK verifies the cryptographic identity of the AI agent, user authorization, and project-specific rules before executing a secured operation.
AI platform
A unified interface for working with leading text, image, and video models. Users can switch between providers, create custom personas and master prompts, work with files, and pay only for the tokens they actually use.
Open-source MCP for e-commerce
An open integration layer that transforms a classic e-commerce store into an MCP-compatible platform. AI agents can search for products, manage carts, and create orders via a unified protocol.
AEO, GEO and AI-readiness
A free scanner to check your website's readiness for AI search and AI agents. It audits technical files, highlights issues, generates ready-to-use configurations, and helps track AI bot traffic to your site.
We build our own products and help companies implement artificial intelligence in real processes: sales, support, analytics, negotiations, and e-commerce.
We design and build end-to-end AI services: user interfaces, backend, billing, model management, data storage, and analytics.
We build autonomous and semi-autonomous agents for support, sales, negotiations, data analysis, and executing operations in external systems.
We connect online stores, APIs, and internal systems to AI agents through the Model Context Protocol and proprietary integration layers.
We build assistants that use websites, documents, catalogs, and corporate data to provide accurate and verifiable answers.
We integrate AI with CRM, ERP, TMS, e-commerce CMS platforms, data stores, queues, messengers, and internal APIs.
We develop access controls, operation-execution policies, personal data protection, and validation of AI-agent requests.
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
More than 15 years of experience in product and marketing, including fintech (Alfa, BCS).
Engineering background: MEPhI, specializing in information security.
Full development cycle: research, architecture, frontend, backend, AI, and deployment.
A practical focus on working products, automation, and measurable results.
Development and code review
Research and analytics
Operational agents
Service updates, MCP security, and the evolution of standards for AI agents.
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…
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,…
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…
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…
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…
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…
If you have questions or need help with the service, write to us and we will help.