Enterprise AI Chatbot Development
We build knowledge assistants, voice interfaces and conversational avatars connected to your documents and business systems. Retrieval, tool access and human escalation are designed around the task. The experience can be text, speech or a visual avatar, with evaluation and operating controls agreed before rollout.
What We Build
AI assistants that understand your domain, access your systems, and behave consistently — not generic chatbots wrapped around an API.
RAG-Powered Knowledge
Backed by CogniGraph & FusionSearch
Connect assistants to approved documents, databases and APIs through CogniGraph and hybrid search. We evaluate retrieval relevance, preserve source references and handle missing evidence explicitly. Latency targets are measured on the chosen workload and deployment.
Tool Calling & Actions
MCP, function calling, system integration
Assistants that do things, not just say things. CRM lookups, order processing, ticket creation, calendar management, database queries. We build tool schemas using MCP (Model Context Protocol) and native function calling so the assistant operates within your systems safely.
Behavioral Consistency
Powered by PersonaForge
Generic chatbots lose character mid-conversation. Our assistants are built on PersonaForge's Behavioral DNA Architecture — 4-layer persona profiles that maintain consistent tone, vocabulary, and decision patterns across sessions. The assistant stays in character while accessing real-time data.
Core Capabilities
What separates a production assistant from a demo.
Conversation Intelligence
- Intent classification and entity extraction
- Real-time sentiment detection
- Smart escalation triggers to human agents
- Multi-turn context with session memory
Multi-Modal Interaction
- Voice interfaces (STT/TTS) including Qwen ASR
- Image understanding and document uploads
- Visual troubleshooting guidance
- Cross-channel conversation continuity
Knowledge Management
- Hybrid search across your entire document corpus
- Source references for supported answers and clear fallback behavior
- Auto-updating knowledge base from new content
- Confidence scoring and fallback strategies
Production Controls
- QualityGuard integration for response validation
- PII detection and masking
- Conversation audit logging
- Role-based access and rate limiting
Our Stack
We're opinionated about what works. Here's what powers our conversational AI deployments.
LLM Layer
- Claude for complex reasoning and long-context conversations
- OpenAI Responses API for tool calling and structured outputs
- Groq for latency-sensitive production workloads
- Ollama for on-premise, air-gapped deployments
Retrieval Layer
- CogniGraph — graph-augmented knowledge retrieval
- FusionSearch — hybrid dense+sparse with RRF
- Cognitive-OCR — document ingestion pipeline
- CogniGraph Chunker — cognition-aware text splitting
Orchestration Layer
- TinyCrew — TypeScript multi-agent for web integration
- IronCrew — Rust runtime for high-throughput workloads
- MCP — interoperable tool and resource integration
- QualityGuard — automated response validation
Proven Implementations
Production deployments, not proofs of concept.
WolfGPT
WOLF GmbH — Enterprise Knowledge Assistant
Multi-LLM architecture with fallback chains. RAG over company documentation with intent analysis that routes queries to specialized handlers. Tool calling for live data retrieval. Consistent personality across sessions. 2.5+ years in production.
PLU Finder MCP
In-house — Produce Intelligence via Conversational AI
MCP server at mcp.plufinder.com providing conversational access to 1,540+ produce items. AI developers and Claude Desktop users query storage guidelines, nutritional data, and PLU codes through natural language. Thousands of monthly users across multiple domains.
Enterprise Knowledge Bots
Corporate Knowledge Management
Internal assistants for HR policy, IT helpdesk, onboarding, and process documentation — deployed with RAG over company knowledge bases. Reduces support ticket volume and accelerates employee self-service.
Deployment & Integration
We meet users where they are and plug into what you already run.
Channels
- Web widgets and mobile SDKs
- WhatsApp Business, Slack, Microsoft Teams
- Voice interfaces (telephony, in-app, Alexa/Google)
- Custom UIs via PersonaCloud API
Enterprise Systems
- Salesforce Service Cloud, Zendesk, ServiceNow
- CRM and ERP integration via function calling
- On-premise or cloud deployment
- Project-specific data access, retention and provider-processing controls
Showcase & Research
Examples of interaction approaches, clearly separated from the production implementations above.
Nova — Digital Human Studio
Showcase — ElevenLabs & HeyGen LiveAvatar
A voice-and-avatar showcase with a company document library, synchronized photorealistic video, typed questions, interruption controls and downloadable transcripts. Provider processing and usage costs are part of deployment planning. Knowledge instructions do not guarantee that every generated claim is grounded.
NLUI — Natural Language User Interface
In-house Research — Interactive Conversations
Research that pairs natural-language questions with trusted charts, tables, forms and choices rendered by the application. The runtime validates tool results and requires explicit confirmation before data-changing actions. It uses synthetic data and is not a production-security qualification.
Ready to deploy AI that actually understands your business?
Contact us to discuss how conversational AI — backed by our own retrieval, search, and persona technology — can transform your customer and employee experience.
Get in Touch