10 proven use cases, not hypothetical demos.
These are the AI systems we build most often. Each has a reference timeline, cost range, and outcome data — based on production engagements.
AI copilot for SaaS dashboards
Embed a conversational copilot that lets users query, act, and automate inside your product.
AI customer support automation
Deflect tier-1 tickets, auto-route tier-2, and free your human team for complex work.
RAG knowledge base for internal teams
Instant semantic search across all your internal docs, tickets, and tribal knowledge.
Voice AI agents for inbound calls
Handle bookings, FAQs, and routing fully autonomously. Escalate with full context.
Document intelligence for contracts and PDFs
Extract, classify, and summarize thousands of documents with structured output.
Real-time product recommendations
Personalize product discovery across homepage, cart, and email at sub-50ms latency.
AI lead qualification and routing
Score, route, and enrich leads automatically — with human-readable reasoning.
Natural language data analytics
Let non-technical users query your data warehouse in plain English with trusted SQL.
LLM cost optimization for existing AI stack
Audit, reroute, and cache your way to 40-60% cost reduction — without changing outputs.
AI-powered product search
Replace brittle keyword search with semantic + hybrid retrieval that actually understands intent.
Your use case not listed?
We take on novel patterns every quarter. Tell us what you're trying to build.