AI Assistants That Know Your Business
We build AI assistants trained on your data — customer support bots, internal knowledge bases, and product copilots that give accurate, contextual answers.
What We Build
Assistant Types
Customer Support Bot
Handles FAQs, order queries, and escalations — reducing support volume.
Internal Knowledge Assistant
Answers employee questions from your docs, SOPs, and wikis.
Product Copilot
In-app AI that helps users navigate features and complete tasks.
Sales Assistant
Qualifies leads, answers product questions, and books demos automatically.
Document Q&A
Upload contracts, reports, or manuals and ask questions in plain English.
Voice Assistants
Speech-to-text AI assistants for call centers and voice-first interfaces.
Tech Stack
What We Use & Why
OpenAI / Anthropic
GPT-4 and Claude for reasoning, summarization, and generation tasks.
LangChain / LlamaIndex
RAG pipelines for grounding responses in your proprietary data.
Pinecone / pgvector
Vector databases for semantic search over large document sets.
Whisper
Speech-to-text for voice input and call transcription.
Next.js + Vercel AI SDK
Streaming chat UI with real-time token rendering.
LangSmith
LLM observability — trace, evaluate, and improve assistant quality.
How We Work
Our Process
01 — Use Case Definition
Identify the highest-value assistant use case and success metrics.
02 — Data Preparation
Collect, clean, and chunk your knowledge base for retrieval.
03 — RAG Pipeline Build
Build the retrieval-augmented generation pipeline with your data.
04 — Evaluation & Tuning
Test accuracy, hallucination rate, and response quality.
05 — Deploy & Monitor
Production deployment with usage analytics and continuous improvement.
Ready to get started?
Tell us what you need. We'll scope it out — free, no obligation.