Aibot is a boutique studio run directly by its founder, mainly providing custom development and implementation services across three product lines: AI agents, business process automation, and interactive websites. It states that its systems can go live within 2–8 weeks, with a typical project payback period of 2–4 months; to control quality, it takes on at most four projects per month, and each project is directly overseen by the founder.
Uses and main capabilities
AI agents and chatbots: conversational AI for customer service, answering around the clock based on an enterprise knowledge base, using a RAG architecture with built-in confidence filtering. It can be deployed on channels such as Web, Telegram, WhatsApp, Instagram, and Messenger, and supports integration with CRMs such as HubSpot, Pipedrive, and Salesforce. It supports self-hosted or cloud deployment.
Business process automation: orchestrated with the n8n platform together with LLM routing (OpenAI, Claude, Gemini), covering marketing, sales, operations, and document flows. The solution is low-code, making it easy for enterprise teams to maintain it themselves later; it supports self-hosting and is GDPR-compliant. It states that it is a SendPulse Platinum Partner and can receive priority support.
Interactive websites: custom web development based on Three.js, GSAP, and WebGL, including 3D graphics and motion effects, aimed at high-end brands and long-cycle B2B scenarios, supporting scroll storytelling and cinematic motion effects. It states that it can increase retention by 50% and form completion rates by 35%, and that even with heavy WebGL loading, LCP remains below 1.8 seconds.
SEO + GEO growth: provides generative engine optimization (GEO / AEO / LLMO) to help brands gain visibility in generative answers such as ChatGPT, Claude, Gemini, Perplexity, and Copilot, while also conducting traditional SEO in parallel. It cites a Gartner forecast: by 2026, 25% of searches will shift to AI. Services include preparation for Schema.org, llms.txt, and AI citation readiness.
Public case studies
HR AI assistant: a digital assistant for recruitment agencies, supporting resume screening, blind resume screening, and AI avatar generation, deployed self-hosted. Official data: processing a single resume was reduced from 22 minutes to 14 seconds; blind resume screening removes candidate contact information; localization supports 4 languages.
Retail analytics: based on React + AI web application that can process 10,000+ rows of data within 2 seconds. Client-side processing keeps the browser smooth, includes 900+ lines of guard logic, supports 26 SKU attributes, and data never leaves the browser.
Support AI Agent: A multilingual AI support agent based on n8n + Gemini + Qdrant, officially claimed to autonomously close 70% of tickets. Based on RAG retrieval with 500+ rules, it supports RU / UA / EN without quality degradation, has a first response time of 30 seconds, reduced the team from 4 operators to 2, and handles 300+ tickets per day.
How to use (service process)
- Process assessment: Review the company's processes, growth points, and existing tech stack to form an automation hypothesis roadmap prioritized by ROI and timeline.
- System design: Design a modular system adapted to the existing tech stack, determine technical decisions, integration plans, success metrics, and migration plans, and output technical documentation and ADR decisions.
- Build and delivery: Run sprints and demos on a 1–2 week cadence, including end-to-end testing and manual QA acceptance, deliver documentation, and conduct team training. Self-hosted or cloud deployment is available.
- Post-launch support: Provide real-time monitoring, model retraining, and integration updates. Support services start at 250 euros per month, with SLA response time under 4 hours (enterprise level).
Applicable scenarios
The typical entry points officially listed include: slow customer responses, bloated operating costs (OpEx), leads scattered across multiple channels, and low conversion rates. Each entry point can be solved within 2–6 weeks through one or two modules. Common automation scenarios: customer responses and ticket handling, document flow and document recognition, invoicing and reporting, marketing and sales, CRM and ERP synchronization. The official recommended criterion is: if a process is repeatedly executed in clear steps and consumes a large amount of manual time, it is a candidate for automation.
Pricing and timeline (all are official reference information; the official source emphasizes that these are not formal quotes)
Start: from 2,500 euros, including one scenario, one channel, basic CRM integration, technical delivery documentation, and self-hosted deployment; MVP delivery in about 2–3 weeks.
Business: from 9,000 euros, including RAG architecture and confidence filtering, omnichannel (Web, TG, WA, IG, Messenger), CRM and database integration, sprint demos every 1–2 weeks, documentation delivery, and team training; standard deployment in about 4–5 weeks.
Enterprise: starting from €20,000, including custom UI and brand design, ERP / SAP integration, 99.9% SLA, multilingual support, security (SSO, RBAC, audit logs); delivery lead time starting from 8 weeks.
All tiers are one-time development fees, with post-launch support starting from €250 per month. The company states a typical payback period of 2–4 months and provides an ROI calculator.
Security and reliability design
Each agent has built-in confidence filtering: when data is insufficient, it automatically hands over to a human. For critical topics such as legal, financial, and medical, the company states that hard blocks are configured and escalation is mandatory, with no AI involvement, and the agent answers only what it is certain about. Enterprise-grade security capabilities such as ERP / SAP integration, SSO, RBAC, and audit logs are available only at the Enterprise tier.
Integrations and channels
Supports CRMs with open APIs such as HubSpot, Pipedrive, Salesforce, Zoho, Kommo, and Monday. Messaging channels include Telegram, WhatsApp Business API, Instagram, Facebook Messenger, and web forms, all unified into one inbox.
Limitations and notes
The company has set a boutique delivery cap of at most four projects per month; if slots are full, it will lock in the price and add you to a waiting list. The support timeline is two weeks of technical support after launch, with documentation and training delivered in the final phase. It should be noted that this page does not provide the team's specific headcount, founding date, company entity information, other pricing details not listed, or third-party independent verification data. All efficiency improvement, conversion rate, and payback period figures are the company's own claims and are estimates rather than formal commitments.
