AI, from every angle.
Chatbots trained with RAG on your own knowledge. They answer customers on your site widget and every messenger, alongside an AI CRM, BI, computer vision, and mobile apps.
We turn conversations into revenue, images into insight, and data into decisions — with AI, on every platform.
Services
Everything to get smarter. In one studio.
From agents and chatbots to CRM, BI, and computer vision. Each service on its own, or all of them on one stack.
AI chatbots and agents
Accurate answers from your own documents and data. Sales, support, and requests, without an operator.
Support widget + every messenger
One agent, six channels: site widget, WhatsApp, Telegram, Bale, Rubika, and Eitaa.
Enterprise CRM with AI agents
Lead scoring, automatic follow-up, and a suggested next step for the sales team.
Train AI on your knowledge
We chunk and embed your docs, site, and catalogs so the chatbot answers only from your sources.
One API for language models
From ChatGPT to Claude and Gemini. One API, smart routing, and cost control.
AI analytics for the organization
A BI dashboard for site stats, product sales, and team performance, with automatic AI insights.
Computer vision
Quality control, safety, and image analysis for industry and business.
iOS, Android, and PWA
Native with Swift and Kotlin, or a PWA with React.
Scalable front end and back end
APIs, infrastructure, and modern web panels. From a prototype to millions of users.
Integrations
One agent, every channel. On any language model.
Your site widget, WhatsApp, Telegram, Bale, Rubika, and Eitaa connect to one brain — and that brain picks the best model for each question.
Unified inbox
Every channel in one panel, with history and automatic tagging.
Smart handoff
When the agent is unsure, the conversation is passed to a teammate with a full summary.
One customer profile
Whichever messenger they use, the customer has a single record in the CRM.
AI agent
One agent. From message to sale.
Customer message
The customer asks on the site widget, WhatsApp, Telegram, Bale, Rubika, or Eitaa — text, voice, or photo.
Understood with RAG
The agent uses GPT or Claude and searches your documents to understand intent.
Action in the CRM
It checks and updates the customer record across CRM, inventory, and payments.
Reply and BI report
A precise answer goes out in under a second, and the result is logged in the BI dashboard.
AI training • RAG
A chatbot that knows your business. Not a generic bot.
With RAG and chunking, your documents and data become the agent’s knowledge — on any language model you choose.
Knowledge sources
PDFs, your site, spreadsheets, product catalogs, FAQs, and past tickets.
Chunking
Smart splits that keep meaning, with overlap between chunks.
Embedding
Each chunk becomes a vector so search can find the right passage.
Vector DB
Stored in a vector database and retrieved by relevance.
LLM
Answers from GPT, Claude, Gemini, or a private open model.
Reply to the customer
The answer is sent with its source, on the site widget and every messenger.
One API for every model
A single connection to ChatGPT, Claude, Gemini, DeepSeek, and open models.
Routing and cost control
The right model for each question, with fallback and token monitoring.
Cited and private
Answers only from your sources, with citations. On-premise deployment available.
Ready products • 360dialog panel
Start from something real. Not from zero.
The same panel our customers use every day: chat and bot dashboard, business BI, a unified inbox, and CRM.
Selected work
Projects we have built. And are proud of.
From computer-vision apps to Telegram mini apps and BI dashboards. A few things we have designed and shipped.
AI analysis of scalp health
A full system for hair specialists: standard photos from 5 angles, AI diagnosis, a QR report, product suggestions, classes, and a premium subscription.
A trained 360 AI
A gamified mini app with daily rewards, an item market, user levels, referrals, and an in-app wallet.
Face scan and product match
Computer vision reads the face, assesses skin, and recommends care products for each person.
A smart nutrition assistant
Log meals, track calories and macros, see a daily timeline, and get personal food suggestions from AI.
Store dashboard + AI assistant
Orders, products, and customers with live sales, plus an agent connected to Google Analytics and the WordPress API for SEO and analysis.
Computer vision
A smart eye. For industry and business.
Industry
Automatic quality control
Detect cracks, flaws, and defects on the line with accuracy above 99%.
Workshop safety
Detect helmets and safety gear, and alert instantly in hazardous zones.
Count and sort
Count products and pallets automatically and sort them on the conveyor.
Business
Face and skin analysis
Facial landmarks, skin analysis, and staff attendance without a badge.
Smart plate reading
Read plates for parking, complexes, and vehicle access control.
Customer behavior
Count entries, build a store heatmap, and measure how long people stay.
Tech stack
Whatever language the project needs. One team.
Python for AI models, Swift and Kotlin for native apps, TypeScript for web panels. We pick the right tool for each part.
FAQ
Questions we hear often
- Which languages does the chatbot speak?
- Our agents fully support Persian, and they can also reply in English, Arabic, and other languages.
- What are RAG and chunking, and why do they matter?
- Your documents (PDFs, site, catalogs, FAQs) are split into meaningful chunks and embedded. When answering, the chatbot retrieves the most relevant chunks and replies only from your real business information, with a citation.
- Which messengers do you support?
- The site support widget, WhatsApp (official Business API), Telegram, Bale, Rubika, and Eitaa. Every conversation is managed in one panel.
- Which language models do you use?
- From ChatGPT and Claude to Gemini, DeepSeek, and open models like Llama. You get one API with smart routing, so each task uses the best model for quality and cost.
- How is your CRM different from a regular CRM?
- AI agents inside the CRM score leads, follow up automatically, log conversation summaries, and suggest the next action to sales.
- How long does setup take?
- Ready-made plans go live in under 48 hours. Custom work such as computer vision usually takes 2 to 8 weeks, depending on scope.
- Can the model run on our own servers?
- The enterprise plan can be deployed on-premise on your infrastructure, and trained on your internal data.
Let’s build something smart.
Send the form. We’ll call within 24 hours to book a free consultation.