What We BuildAI Agents

    AI & Voice Agent Development — Knowledge-Grounded, Multilingual

    AI that knows your business, not just the internet.

    Start a Project How we engineer it
    Voice agent
    listening · gu-IN
    મારો ઓર્ડર ક્યાં છે?
    Order #1284 શિપ થયો છે — કાલે પહોંચશે.

    SICI Technologies builds AI chatbots and voice agents for Indian businesses — multilingual (Hindi, Gujarati, English), grounded in your knowledge base, and designed to refuse cleanly when they don't know the answer. We are an AI chatbot development company built around production-grade reliability, not viral demos.

    The hard part of an AI agent is rarely the model. It is the knowledge base — how it is chunked, how the agent decides which chunks are relevant, how confidence is measured, and how the agent hands off to a human when it should. We design that architecture before we pick a model, which is why our agents work in production after the launch buzz dies down.

    What we mean

    Knowledge-base–grounded chatbots, multilingual voice AI agents (Hindi, Gujarati, English), inbound/outbound call automation, document Q&A.

    The concept behind it

    Generic LLM wrappers are easy. The hard part is the knowledge base — how it's chunked, how the agent refuses when it doesn't know, how it hands off to a human. We design knowledge architecture before we pick a model.

    What's included

    Knowledge-grounded

    Replies anchored in your docs, catalog, FAQ — not internet trivia.

    Multilingual

    Hindi, Gujarati, English — code-switching supported.

    Voice agents

    Inbound + outbound call automation with GSM telephony.

    Knowledge architecture

    Designed before the model — chunking, embeddings, refusals.

    Clean refusals

    Says 'I don't know' instead of hallucinating. Hands off to humans.

    Agent handoff

    Live escalation path with full conversation context.

    What we build

    • • WhatsApp + web chatbots grounded in your product catalog, FAQ, and policy docs
    • • Multilingual voice AI agents for inbound calls (Hindi/Gujarati/English code-switching)
    • • Outbound call automation for reminders, surveys, and lead qualification
    • • Document Q&A — internal Slack/portal bots that answer from your wiki
    • • AI-assisted human-agent inboxes — suggestions, summaries, draft replies

    Stack notes

    We use Python (managed with uv), FastAPI for the agent backend, WebSockets for real-time voice streams, and pluggable vector stores (Qdrant, Weaviate, or pgvector depending on scale). For voice we integrate Agni, PolyAI Raven v2, ElevenLabs, and others — chosen per project for language quality and latency. Telephony goes through GSM gateways or cloud SIP depending on volume.

    Refusal as a feature

    An AI agent that confidently makes up an answer is worse than no agent at all. Every agent we deploy has explicit "I don't know" handling, confidence thresholds tuned per client, and a clean handoff path to a human. We log refusals so the knowledge base can be improved iteratively.

    AI Agents — common questions

    Whichever fits the project — OpenAI, Anthropic Claude, Google Gemini, or open-source models for cost-sensitive deployments. We are model-agnostic at the architecture level, so you can switch without rewriting the agent.

    Yes. Indian customers naturally code-switch between Hindi/Gujarati and English in the same sentence. We use voice models that support this and prompt the LLM to respond in the same mix the caller used.

    We start with whatever documents you have — PDFs, Word docs, FAQ pages, product catalogs, policy text. We chunk, embed, and validate them against test questions. Updating the knowledge base later is self-serve through an admin interface.

    We mitigate them through grounding (the agent must cite a knowledge-base chunk to answer), confidence thresholds, explicit refusal when no chunk is relevant, and continuous logging so we can tune over time. Hallucinations are minimized, not eliminated — we set that expectation upfront.

    Ready to start?

    Send us a one-paragraph brief. We respond within 4 business hours.

    Start a Project WhatsApp Us

    No obligation · NDA on request · We reply within 4 business hours.

    WhatsAppCallContact