Human-centric conversational AI, enterprise assistants, and agentic interfaces designed to improve productivity, decision-making, and operational execution.

AI should not be limited to dashboards and back-end analytics. Trovix builds Natural Language AI, Conversational AI, enterprise AI assistants, agentic copilots, and knowledge-aware productivity interfaces that allow users to interact with complex systems, data, and workflows through natural language.

Our conversational AI platforms combine Large Language Models (LLMs), retrieval-augmented generation (RAG), semantic search, vector databases, AI agents, memory-aware workflows, tool calling, domain grounding, and human-in-the-loop controls to create intelligent interfaces that do more than chat. They answer questions, summarise information, automate tasks, guide decisions, and connect directly to enterprise systems.

We build solutions using advanced AI technologies including Claude, DeepSeek, ChatGPT, Gemini, LLaMA, Mistral, Amazon Bedrock, Azure OpenAI, Google Vertex AI, NVIDIA AI infrastructure, MCP-compatible integrations, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, Apache Iceberg, ClickHouse, vector search, embeddings, API orchestration, and enterprise knowledge pipelines.

For clients, this means conversational AI that is secure, domain-aware, connected to real business data, and capable of supporting internal teams, customer-facing interactions, and complex operational workflows.

Trovix Natural Language & Conversational AI Solutions

Trovix ConvoAI© – Enterprise Conversational AI Platform

Trovix ConvoAI© is a conversational AI platform designed for enterprises that need secure, scalable, and domain-aware AI interfaces across internal and client-facing environments.

What it does for clients:

  • Provides intelligent conversational interfaces for employees, analysts, managers, and operational teams
  • Answers questions using enterprise data, documents, logs, CRM records, policies, and internal knowledge bases
  • Supports contextual follow-up questions and multi-turn reasoning
  • Improves productivity by turning natural language into a practical working interface

Technology stack:

  • Claude, DeepSeek, ChatGPT, Gemini, LLaMA, and Mistral model support
  • Amazon Bedrock, Azure OpenAI, and Google Vertex AI integration
  • RAG pipelines, vector search, semantic retrieval, and embeddings
  • MCP-compatible tool access and secure enterprise API integrations

Client benefits:

  • Faster access to trusted information
  • Less time spent searching across systems and documents
  • Better knowledge sharing across teams
  • Improved decision-making through natural language interaction

Trovix TaskAssist© – AI Assistants for Internal Task Automation

Trovix TaskAssist© helps organisations deploy AI assistants that support internal operations, automate routine requests, and reduce repetitive knowledge work across teams.

What it does for clients:

  • Automates common internal requests, summaries, follow-ups, and workflow prompts
  • Assists teams with drafting, querying, analysis, and operational coordination
  • Connects conversational AI to business tools, internal systems, and process workflows
  • Supports human-in-the-loop task execution where approvals or oversight are required

Technology stack:

  • LLM orchestration with Claude, ChatGPT, DeepSeek, Gemini, and Bedrock-hosted models
  • LangGraph, CrewAI, AutoGen, Semantic Kernel, and LlamaIndex-based assistant patterns
  • API-driven workflow integration and enterprise tool connectivity
  • Prompt engineering, memory handling, and secure task execution controls

Client benefits:

  • Reduced manual work and repetitive admin effort
  • Higher productivity for support, operations, HR, finance, and service teams
  • Faster task completion and internal response times
  • Scalable AI support across knowledge-heavy workflows

Trovix SupportBot© – AI Support & Ticketing Assistant

Trovix SupportBot© is a conversational support solution that integrates with ticketing, service management, and case handling systems to improve response quality and service speed.

What it does for clients:

  • Provides AI support bots integrated with ticketing and service platforms
  • Summarises tickets, suggests responses, and helps classify and route issues
  • Supports contextual troubleshooting using internal knowledge and historical records
  • Assists support teams with resolution guidance and recommended next actions

Technology stack:

  • NLP pipelines, LLM-based case understanding, and semantic search
  • Integration with CRM, service desks, ITSM tools, and support workflows
  • ClickHouse for support analytics and operational visibility
  • RAG-backed retrieval from documentation, runbooks, and case history

Client benefits:

  • Faster ticket handling and improved first-response quality
  • Reduced workload for support agents
  • Better consistency across service interactions
  • Improved customer and internal user experience

Trovix DomainQuery© – Domain-Aware Enterprise Knowledge Interface

Trovix DomainQuery© enables users to query enterprise knowledge, operational logs, documents, records, and CRM data through a grounded conversational interface.

What it does for clients:

  • Supports domain-aware querying across documents, logs, records, and operational datasets
  • Uses enterprise-specific grounding to improve answer relevance and trust
  • Combines structured and unstructured data into a single conversational interface
  • Helps analysts and operators move from search to understanding more quickly

Technology stack:

  • Apache Iceberg for governed enterprise data foundations
  • ClickHouse for real-time analytics and log intelligence
  • Vector databases, embeddings, semantic search, and retrieval pipelines
  • Knowledge-aware LLM architectures using Bedrock, Azure OpenAI, Vertex AI, and multi-model support

Client benefits:

  • Unified access to enterprise knowledge and operational information
  • Faster investigation and analysis across multiple data types
  • Reduced dependency on fragmented search tools
  • Better insight generation for complex decision tasks

Trovix GuideAgent© – Contextual Recommendations & AI Decision Guidance

Trovix GuideAgent© provides contextual follow-ups, guided recommendations, and AI-assisted reasoning to help users navigate complex decisions and next-step actions.

What it does for clients:

  • Offers guided recommendations based on user context, conversation history, and enterprise rules
  • Supports decision workflows with explainable next-best-action suggestions
  • Combines conversational AI with agentic task execution and workflow triggers
  • Provides reasoning support across operations, service, analytics, and management tasks

Technology stack:

  • Agentic orchestration using LangGraph, CrewAI, AutoGen, and MCP-style integrations
  • LLM ecosystems spanning Claude, DeepSeek, ChatGPT, Gemini, and Mistral
  • Policy-aware reasoning, retrieval grounding, and workflow-aware prompt orchestration
  • Secure deployment on AWS, Azure, GCP, and containerised enterprise environments

Client benefits:

  • Better user guidance and reduced decision friction
  • Improved quality of complex task execution
  • More effective adoption of conversational AI across teams
  • Stronger productivity for knowledge-intensive work

Core Conversational AI Capabilities

  • AI assistants for internal task automation: Conversational support for drafting, querying, workflow guidance, and repetitive operational tasks
  • Support bots integrated with ticketing systems: AI-driven assistance for service desks, support teams, and case handling workflows
  • Domain-aware querying across documents, logs, and CRM systems: Grounded AI responses using enterprise knowledge, structured records, and operational data
  • Contextual follow-ups and guided recommendations: Multi-turn reasoning, next-best-action suggestions, and AI-supported decision assistance
  • Natural language interaction with enterprise systems: Conversational interfaces connected to APIs, tools, and internal platforms
  • Agentic AI productivity workflows: AI agents that combine conversation, reasoning, tool usage, and controlled workflow execution

Conversational AI Architecture Flow

Trovix conversational AI platforms connect users, knowledge, models, and enterprise actions through natural language-first interfaces.

Enterprise Knowledge & Interaction Sources
Documents / Knowledge Bases / CRM / Logs / APIs / Tickets / Policies / Operational Data / User Queries

↓

Knowledge, Search & Context Layer
Apache Iceberg / ClickHouse / Vector Search / Embeddings / Semantic Retrieval / RAG / Domain Memory

↓

LLM & Conversational Intelligence Layer
Claude / DeepSeek / ChatGPT / Gemini / LLaMA / Mistral / Bedrock / Azure OpenAI / Vertex AI / NLP / Prompt Orchestration

↓

Agent, Tool & Workflow Orchestration
LangGraph / CrewAI / AutoGen / Semantic Kernel / LlamaIndex / MCP / APIs / Tool Calling / Human-in-the-Loop Controls

↓

Conversational Outcomes
Task Automation / Support Assistance / Knowledge Retrieval / Guided Recommendations / Decision Support / Productivity Improvement

Business Outcomes

Trovix conversational AI is not just chat. It is a productivity interface for complex decision tasks, helping organisations improve access to knowledge, streamline user interaction, and turn conversational AI into measurable operational value.

  • Higher productivity across internal teams and support operations
  • Faster access to enterprise knowledge and decision context
  • Improved user experience across AI-assisted workflows
  • Better quality of recommendations, support, and next-step guidance
  • Scalable conversational interfaces for both internal and external use cases