Custom AI chatbots on OpenAI GPT-4o and Anthropic Claude 4 — trained on your data, grounded in retrieval, deployed to web, WhatsApp, Slack, and Teams.
Lead capture, customer support, internal employee assistants. 60%+ ticket deflection, citation-grade accuracy, integrated with your CRM and helpdesk.
From front-line lead capture to deep internal knowledge agents — we build chatbots that move real metrics.
24/7 AI agents that answer product questions, troubleshoot issues, and hand off complex cases to a human with full conversation context.
Conversational lead capture that qualifies, scores, and routes to sales — replacing static forms with a far higher conversion rate.
Chatbots grounded in your documents, policies, and product data — accurate, cite-able, and updated automatically as your content changes.
AI assistants for HR, IT, ops, and finance teams — onboarding, leave requests, expense lookup, SOP search — embedded in Slack or Teams.
Pre-trained verticals — healthcare triage, legal contract Q&A, real-estate listing search, education tutoring, BFSI policy lookup.
Build once, deploy everywhere — your chatbot shows up on web, WhatsApp, Telegram, Slack, Teams, iOS, and Android with a single backend.
Fixed-scope MVP delivered in 3–4 weeks. Best for proving ROI on a single workflow.
Full chatbot platform — multi-channel, RAG over multiple sources, CRM integration, analytics, ongoing improvement.
Full-service retainer — we run, monitor, tune, and upgrade your chatbot. You see the leads/tickets, we run the AI.
We map your support volume, top-10 conversation flows, knowledge sources, and integration points. Output: a fixed-scope build plan.
Ingest your data into a vector DB, build the retrieval pipeline, draft system prompts, and run accuracy evals against gold-standard answers.
Production build — UI widget or channel deployment, conversation memory, handoff logic, CRM/helpdesk integration, admin panel.
Soft launch with internal users + 5–10% of real traffic. We measure deflection, CSAT, and accuracy and tune prompts and retrieval.
Full launch with monitoring (LangSmith/Langfuse), monthly tuning, model upgrades, and quarterly business reviews tied to deflection and revenue KPIs.
Hybrid retrieval, re-ranking, citation, permission-awareness. Your chatbot doesn't hallucinate — it cites sources.
Caching, model routing (GPT-4o-mini for easy, GPT-4o for hard), and prompt compression. We reduce token spend 40–60% post-launch.
Build once on our framework — same brain answers in web widget, WhatsApp, Slack, and voice channel without duplicating logic.
Auth, logging, observability, prompt versioning, A/B testing, cost guardrails, human-handoff fallback. Not a demo.
Zendesk, Intercom, Freshdesk, HubSpot, Salesforce, Odoo, Zoho — we plug into the CRM and helpdesk you already use.
Source in your GitHub, infra in your cloud, prompts in version control. Zero proprietary lock-in beyond the model API.
A focused pilot (1 chatbot, 1 channel, RAG on 1 knowledge source) ships in 3–4 weeks. A full production rollout with multi-channel deployment, CRM integration, and analytics typically takes 5–7 weeks end-to-end.
We're model-agnostic and choose the best for each use case based on accuracy, latency, and cost. Often we route: easy questions to GPT-4o-mini / Claude Haiku, complex reasoning to GPT-4o / Claude 4. For private/regulated data we use Azure OpenAI, AWS Bedrock, or Vertex AI.
We measure accuracy formally — typical RAG chatbots reach 85–95% answer correctness on real customer questions after our tuning phase, with citation links so the user can verify. We commit to an accuracy floor in the SOW.
Retrieval-grounded answers (RAG), citation-required system prompts, structured output where applicable, automated fact-check passes for high-stakes flows, and a low-confidence fallback that hands off to a human instead of guessing.
Yes. We routinely integrate with HubSpot, Salesforce, Zoho CRM, Odoo CRM, Pipedrive, Zendesk, Intercom, Freshdesk, and custom systems. The chatbot creates tickets, logs conversations, and updates lead records automatically.
Pilot chatbots typically land between ₹1.5L–₹4L ($1.8K–$5K) setup plus ₹15K–₹50K/month ($200–$600) covering hosting, monitoring, and tuning. Full production rollouts with multi-channel deployment and CRM integration range from ₹4L–₹15L ($5K–$18K).
Yes. GPT-4o and Claude 4 natively support 95+ languages with strong quality. We localise the knowledge base, prompts, and UI for the languages your customers actually use, with per-language accuracy tracking.
Yes — our Managed AI Bot retainer covers monthly prompt tuning, model upgrades (every time OpenAI or Anthropic ships a new model), cost optimisation, observability, and a quarterly business review. SLA-backed response times for incidents.
Odoo 20 AI runs on IAP credits at €1 each. See which AI features use credits, what OCR, SMS and contact enrichment cost, and a sample monthly budget.
Book a free 30-minute chatbot audit. We'll map the highest-ROI use case for your business and send a fixed-price proposal within 48 hours.
