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Artificial Intelligence

Conversational AI

The difference between a chatbot and an AI assistant is what's behind it. Ours are backed by CogniGraph for knowledge retrieval, FusionSearch for hybrid search, PersonaForge for behavioral consistency, and TinyCrew/IronCrew for multi-agent orchestration. The LLM is the last mile — everything before it is what makes the answer right.

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 the assistant to your actual data — documents, databases, APIs. CogniGraph provides graph-augmented retrieval that follows relationships in your knowledge. FusionSearch delivers hybrid dense+sparse search with sub-200ms latency. Every answer is grounded and citable.

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 (Anthropic's 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 citations on every response
  • 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 for function calling and Assistants API
  • 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 — Anthropic's protocol for tool 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
  • GDPR/HIPAA compliance infrastructure

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.

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