Who We Are
We build the voice-intelligence layer for offline teams — from research and architecture to deployment and support.
We’re a team of engineers, researchers, and product designers specializing in voice analytics and AI agents for offline businesses. Our expertise covers the full cycle — from researching the problem and designing the architecture to development, deployment, and ongoing support. We build our product, Lansy, and take on adjacent AI projects tailored to our clients’ business needs.
Product builders, not slideware consultants.
Lansy is our core product. Adjacent AI projects inherit the same engineering discipline.
Our Team
The people building Lansy — research, design, and engineering under one roof.
Alexander Syrkov
Product Lead
Stepan Spiridonov
Design Lead
Mikhail Rodin
AI Lead
Ilya Yakovenenko
Development Lead
What We Do
A practical AI stack for conversations, teams, devices, APIs, and decision dashboards.
Voice Analytics & AI Agents
Capturing conversations, transcription, breakdown by the client’s own categories, and recommendations for staff. Calls, shifts, lessons, consultations — all in one loop.
Custom AI Solutions
NLP agents, RAG services, and conversational copilots built around the client’s product or process. Short sprints aimed at clear, tangible results.
Hardware Devices
Lansy Hub for service locations and Recorder for field teams. Quiet, energy-efficient, and powered by our own firmware.
Integrations & API
Telephony / IP-PBX, CRM, POS systems, messengers, webhooks, and REST/GraphQL API — connected to the tools your team already uses.
Dashboards & Analytics
Executive dashboards built on top of conversations: KPIs, trends, team segmentation, and customer intent. Every number traces back to a specific conversation.
Deployment & Methodology
We build categories and templates for your industry using your data and your terminology. A working pilot — in 1–2 days.
Our Approach
Small expert teams, fast hypotheses, transparent delivery, and measurable value for real users.
Compact Teams of Experts
Few people, each handling a broad range of tasks and owning the outcome.
Value for Business and Users
We measure success by the impact on the user and the client’s metrics — not by lines of code.
Speed and Hypothesis Testing
We launch a working version fast, validate it on real data, and scale what proves effective.
Transparency and Openness
Clear stages, regular reports, and access to interim results, models, and dashboards.