
Customer support AI for a bank
One agent on WhatsApp and voice. Around 42,000 conversations a month, roughly 74% resolved end to end. Customers rate it above the human team.
LangGraph, Bedrock and Claude, LiveKit voice
We design, build, and run LLM agents, voice AI, and the security around them.
42,000
support conversations a month, handled by one agent we built and run
74%
resolved end to end by AI, no human handover
3.95 vs 2.93
CSAT score, AI agent vs human baseline

One agent on WhatsApp and voice. Around 42,000 conversations a month, roughly 74% resolved end to end. Customers rate it above the human team.
LangGraph, Bedrock and Claude, LiveKit voice

Authorised VAPT across roughly 500,000 lines of banking code, with custom static-analysis tooling and board-grade reporting.
VAPT, custom SAST, DFIR

A 10,000+ user vehicle-care app in Germany, Hungary, and Luxembourg. AI dispatch with route optimization; operators talk to the planner through an MCP tool.
AWS CDK, Google Route Optimization, Bedrock

It answers tenants on WhatsApp and voice, triages and troubleshoots repairs, and writes work orders back to the PMS. In production for a UK lettings agency.
LangGraph, Next.js and Amplify, WhatsApp Business
A stylized replay of what our support agent does 42,000 times a month.
Deep agents for support, operations, and internal tools. Designed with evals, shipped with observability, run at scale.
Real-time voice agents on LiveKit, Deepgram, and Twilio.
Retrieval that holds up, measured with published evaluation methods.
Use-case prioritization, provider due diligence, and roadmaps that survive contact with production.
Full products end to end: web, mobile, cloud, and the App Store.
Authorised penetration testing, AI-system security reviews, and audits held to a regulated-bank bar.
Tell us what you are building. We reply within two working days.