AI development that solves real business bottlenecks.

We don't build generic chatbot demos. We engineer production-grade AI agents, autonomous decision pipelines, and secure RAG systems integrated into your operational software.

See AI case studies

Enterprise AI

AI capabilities built for production resilience.

Autonomous Multi-Agent Systems

Agents that execute multi-step workflows: verifying invoices, analyzing documents, checking inventory, and invoking external APIs with deterministic human guardrails.

Enterprise RAG & Knowledge Retrieval

Ground large language models on your internal PDFs, databases, and wikis with vector embeddings (pgvector, Pinecone) ensuring zero data leakage and hallucination protection.

Real-Time Voice AI Agents

Low-latency bidirectional voice agents that handle customer phone support, qualify inbound leads, schedule appointments, and sync data straight to your CRM.

Engineering Rigor

Moving beyond prompt engineering to deterministic AI pipelines.

Building an AI proof-of-concept with a consumer LLM API takes an afternoon. Shipping a production AI system that processes thousands of customer queries, verifies compliance with internal policies, preserves PII privacy, and reliably triggers database transactions requires sophisticated systems engineering.

Wadecheryl engineers enterprise AI architectures designed around three non-negotiable principles: low-latency streaming responses, deterministic guardrails against hallucination, and isolated data boundaries that ensure proprietary customer information is never used to train external public foundation models.

RAG ARCHITECTURE

Hybrid Search & Reranking

Dense vector embeddings combined with BM25 sparse keyword retrieval and cross-encoder rerankers, ensuring 99%+ context accuracy.

VOICE AGENTS

< 500ms Audio Latency

WebRTC audio streaming with continuous voice activity detection (VAD), interruption handling, and natural conversational pacing.

SECURITY

PII Masking & Guardrails

Automated redaction of sensitive payment details, social security numbers, and health records before prompts touch model endpoints.

Have an AI use case you need to deploy?

Book a technical consultation with an AI solutions architect to evaluate feasibility, latency, and costs.