AI chatbots & agents
Context-aware conversational intelligence, trained on your enterprise knowledge.
Custom RAG chatbots and agents that answer from your documents, systems and policies, resolve routine requests around the clock and hand over to your team when it matters.
What we build
RAG chatbots on private knowledge
Connected to your documentation, FAQs, policies and databases, with source citations on every answer.
24/7 tier-1 support agents
Handle order status, returns, product questions and account queries, and escalate to human agents with the full conversation attached.
Lead generation and product discovery
Intent-driven flows that qualify leads, recommend products and book meetings.
Agents that take action
With permissions and approvals, agents can check orders, create tickets, update CRM records and trigger workflows.
Where it works
Website · WhatsApp · Mobile apps · Shopify storefronts · Internal tools. Languages are scoped per project — English and Hindi are the usual starting pair for Indian commerce teams.
How it works
| Ingest | Collect and clean documents, help-center content and structured data |
| Index | Chunk, embed and store content in a vector database with access controls |
| Retrieve and reason | Find the right sources, generate an answer and cite them |
| Guardrails | Block off-topic, unsafe or low-confidence responses; redact sensitive data |
| Handoff and actions | Escalate to humans or trigger approved actions in your systems |
| Measure | Resolution rate, accuracy, cost per conversation and unanswered-question reports |
Use cases
- E-commerce: product advice, order tracking, returns, size guidance
- B2B: technical documentation Q&A, quote requests, catalog search
- Internal: HR, IT helpdesk and policy assistants
- Financial and services: onboarding guidance and document-based Q&A
Questions
We ground answers in your sources, require citations, set confidence thresholds and route uncertain cases to humans. We also test with evaluation sets before and after launch.
See it answering from your own documents.
Give us a sample of your content. We will build a working proof of concept and measure it against your real questions.