We deliver AI agents that generate revenue and reduce costs, not bots that apologize and transfer to humans
Your best leads go cold because nobody responds fast
Support team drowning in "Where's my order?" while complex issues wait
Sales waste time on unqualified leads who'll never buy
Customers abandon because they can't get quick answers
You're losing international customers because of language barriers
Call center costs exploding while customer satisfaction drops
AI Sales Agents & Lead Qualification
Conversational AI that engages prospects, asks qualifying questions, overcomes objections, and books demos. Works 24/7 across website, SMS, WhatsApp, and social channels.
Customer Support Chatbots
Intelligent support agents that resolve common issues instantly, search knowledge bases, pull order history, and escalate complex problems with full context to human agents.
Voice AI Agents (Phone)
Natural voice agents for inbound and outbound calls. Handle appointment scheduling, order taking, customer service, and surveys with human-like conversation.
AI Shopping Assistants
Conversational product advisors that understand needs, recommend products, answer questions, handle objections, and guide customers to purchase — like having expert salesperson for every visitor.
Internal AI Assistants (Employee Tools)
AI agents that help employees find information, submit requests, and complete tasks through conversation. Reduce IT help desk load and HR inquiries by 60%.
Deep AI/ML Expertise
Lean AI Implementation
Secure and Compliant AI
Always-On Maintenance
All-in-One
Cost Efficiency
24/7 lead capture and qualification
AI engages every website visitor, identifies serious prospects through conversation, qualifies based on your ICP criteria, and books meetings with appropriate reps. Never lose another after-hours lead.
Intelligent appointment scheduling
AI finds mutual availability between customers and your team, books appointments, sends confirmations, handles rescheduling, and sends reminders. Zero manual coordination.
Order status and tracking
Customers ask about their order status, shipment tracking, delivery dates, and returns. AI looks up information across systems and provides instant, accurate answers.
Product recommendations and guidance
AI asks questions to understand needs, recommends suitable products with reasoning, compares options, and guides to purchase decision like expert salesperson.
Technical support and troubleshooting
AI diagnoses common issues through conversation, provides step-by-step solutions, searches knowledge base, and escalates complex problems to humans with full context.
Form filling and data collection
Instead of long forms, AI has natural conversation to collect information. Higher completion rates, better data quality, and improved user experience.
Dedicated Team
A complete conversational AI team — including conversation designers, NLU engineers, integration specialists, and trainers — working exclusively on your AI agents from strategy to deployment and continuous optimization.
Time & Materials
Pay only for actual development time and resources used, with complete flexibility to adjust agent capabilities, add new use cases, and pivot based on conversation data and user feedback.
Augmented Team
Strengthen your existing team with our conversational AI specialists who integrate seamlessly into your workflows, filling expertise gaps and accelerating your chatbot and voice agent initiatives.
How is AI chatbots different from typical chatbots?
Traditional chatbots use decision trees and button clicks - frustrating and limited. AI chatbots are software applications that use artificial intelligence to simulate human conversation. They can understand, process, and respond to user inputs in natural language, providing automated customer service, support, and engagement across various platforms. Our AI agents use large language models to understand natural language, maintain context, handle complex requests, and take actions across your systems.
What is conversational AI?
Conversational AI refers to the technologies, such as natural language processing (NLP) and machine learning, that enable computers to understand, process, and respond to human language. It powers applications like chatbots and virtual assistants, allowing them to engage in human-like conversations.
Can AI agents handle complex customer questions?
Yes, within their trained domain. Agents understand nuanced questions, ask clarifications, search knowledge bases, and provide detailed answers. For truly complex issues beyond their capabilities, they seamlessly transfer to humans with full context.
What happens when the AI doesn't understand?
Agent asks clarifying questions or offers related options. If still unable to help, it transfers to human with conversation history so customer doesn't repeat themselves. We monitor these handoffs and train agent to handle similar cases better.
How long until agents are production-ready?
Simple support or lead qualification bots: 2-4 weeks. Complex multi-intent agents with system integrations: 8-12 weeks. We deliver incrementally so you can test and provide feedback throughout development.
Can agents work in multiple languages?
Yes. Modern LLMs handle 50+ languages naturally. We deploy the same agent with multilingual capability or separate agents per language based on your needs. No need to hire support staff for each language.
How do you measure agent success?
Key metrics: containment rate (% handled without human), user satisfaction ratings, conversion rate (for sales agents), resolution time, and cost savings. We track all in dashboards and optimize continuously.
What if agent gives wrong information?
We implement guardrails, fact-checking against knowledge bases, and confidence thresholds. For critical information (medical, legal, financial), we require human review. Agents admit when unsure rather than hallucinate.
Can agents handle voice conversations?
Absolutely. We deploy same AI capabilities to phone channels with natural text-to-speech and speech-to-text. Voice agents handle inbound calls, make outbound calls, and sound remarkably human-like.
Do we need to build knowledge base first?
Not necessarily. We can train agents on existing documentation, help center articles, past conversations, and product information. If gaps exist, we identify them during development and help create needed content.


