Modern businesses need more than basic chatbots. We build intelligent AI assistants that securely understand your documents, business processes, products, and internal knowledge. From customer support and employee copilots to sales assistants and knowledge search, our AI assistants deliver accurate, context-aware conversations that improve productivity and customer experience.
14+
Years industry experience
15+
Countries served
170+
Projects delivered globally
5+
AI apps in production
A ChatGPT API call with a system prompt is not a production chatbot. The gap between these two is entirely engineering.
Handle 60-70% of routine queries automatically, 24/7
RAG-powered chatbot integrated into your website or app - trained on your product docs, FAQs, and support history. Complex queries escalate to human agents with full context.
Channels
Industries
Customer support (text)
EdTech doubt solver
Long-document knowledge base
Voice AI (real-time)
Privacy-sensitive deployment
High-volume, cost-optimized
EdTech AI Study Assistant
RAG-based AI study assistant trained on the full UCAT curriculum. Context-aware within the study environment. Step-by-step explanations. Source citation in every response.
Multilingual Voice AI Agent
Full voice stack handling real-time conversations with sub-second end-to-end latency. Natural turn detection, interruption handling, inbound and outbound telephony.
AI Compliance Agent
Conversational compliance agent using Claude's 200K context window for full regulatory document analysis. Automated gap reports and compliance query answering.
We understand your use case, users, content, and tech environment. We recommend the right chatbot type and architecture - no proposal yet.
Your support team handles repetitive tickets. An AI chatbot handles routine queries automatically - freeing your team for conversations that need them.
The chatbot is a product feature - not a customer service tool. Native integration, consistent branding, and reliability your users will trust.
A curriculum-trained AI doubt solver answers student questions using your specific content - not generic internet knowledge.
An internal knowledge base chatbot makes institutional knowledge instantly accessible across your organization.
AI chatbot development ranges from $8,000 for a focused single-purpose chatbot to $50,000+ for a full-featured voice AI agent or multi-context EdTech study assistant with advanced analytics. Our free discovery call scopes the right chatbot architecture for your budget and use case.
A text-based RAG chatbot with core features typically takes 6-10 weeks - including knowledge base setup, RAG pipeline, conversation logic, integration, testing, and deployment. A voice AI agent with multilingual support typically takes 10-16 weeks. We deliver working chatbot features in 2-week sprints so progress is visible throughout.
A generic AI chatbot calls an LLM API with a system prompt - it answers from the model's general training data and has no access to your specific content. A RAG chatbot retrieves answers from your specific content at query time. RAG chatbots cite sources, acknowledge when they do not know, and improve as you add content. For business applications, RAG chatbots consistently outperform generic chatbots on accuracy and user trust.
Yes. We build chatbots with tool calling capability - the chatbot can query your live database, call your APIs, or retrieve real-time information as part of answering a question. A student asking how they scored on their last mock exam gets a real answer from the database.
Escalation logic is built into every Infynno chatbot. The bot escalates when retrieval confidence falls below a threshold, the query matches escalation patterns (billing disputes, clinical judgment), the user explicitly requests a human, or the conversation exceeds a configured number of turns without resolution. Full conversation context is passed to the human agent on escalation.
Yes. We built Pranthora - a multilingual voice AI agent supporting real-time conversation in 10+ languages. Our voice AI stack uses OpenAI Whisper for multilingual speech recognition, ElevenLabs for natural voice synthesis, and Groq-hosted Llama for fast inference under 1 second end-to-end.
Yes. We build chatbots as integrations into existing platforms - connecting to your existing backend via API, appearing within your existing UI via embeddable components, and accessing your existing data through your existing authentication system. No platform rebuild is required.
Start with a free discovery call. NDA before we go further.
Start building
1. Discovery call
2. NDA signed
3. Scope agreed
4. Delivery begins