There's real pressure to launch a chatbot fast—and real risk in shipping one that gives confident but wrong answers to your customers or employees. We help you get it right the first time. We help you build generative AI applications, chatbots, knowledge assistants, and embedded AI that retrieve the right information, respect access restrictions, know when they lack information, connect with business systems, and hand off to a person when needed—tailored to your users, information, and workflows.
Many chatbots begin with a model and a chat box—fine for a demo, but production needs far more. Cloudain addresses the complete solution so the objective isn’t to sound human, but to be useful, controlled, and appropriate for the work it performs.
From customer chatbots and knowledge assistants to document intelligence, embedded copilots, and voice.
Customer-facing assistants that answer, guide, complete requests, and reach the right person.
Secure assistants that help employees find and use information across documents and systems.
Applications that understand and process document-heavy work with human verification.
Generative AI inside existing applications—no separate chatbot to visit.
Conversational AI extended to voice with attention to latency, consent, and handoff.
Capabilities across text, documents, images, or audio—used only when they improve the workflow.
AI applications that classify, extract, summarize, and compare documents—identifying missing information and clauses—then route based on extracted data with human verification. These connect to existing intake, case-management, content, and approval systems.
A practical path from conversation design and retrieval architecture to integration, guardrails, and evaluation.
Define who uses it, what it can answer, what needs auth, when to clarify, and when to escalate.
Ground answers in approved sources with indexing, vector retrieval, and access filters.
Evaluate models on quality, data handling, latency, security, and cost—Bedrock, Azure, OpenAI, Anthropic, Google, or open source.
Connect to CRM, ticketing, scheduling, and APIs—read and write separated, sensitive actions approved.
Authentication, role-based retrieval, input/output filtering, prompt-injection defense, and audit logging.
Measure retrieval quality, groundedness, escalation rate, latency, and cost against a defined set.
Scope and timing depend on the number of data sources, integrations, channels, security requirements, and actions the assistant must support.
For suitable projects, we reuse capabilities from Qotbot, our conversational AI platform foundation—so your solution still stays designed around your own brand, information, integrations, and security requirements.
Tailored to each industry’s users, information, and compliance needs—AI never replaces medical judgment or emergency services.
Cloudain combines generative AI, cloud architecture, application development, integration, and security to create assistants that work in real business environments—moving from demonstration to controlled production use.
Controlled & appropriate
Guardrails and access control
Built to be operated
