AI Integration
Claude, OpenAI, and Gemini wired into your real business data. AI as a working layer in your operation, not a demo.
AI · Database · Automation · Web
Lenunu engineers AI, databases, and the modern web into one connected operation — architected before it’s built, supported long after it ships.
The problem
Most businesses run on tools that were never designed to talk to each other. The problem is rarely one bad app — it’s the handoffs between them: duplicated data, fragile syncs, and reports that live in one person’s head.
There’s a better way to build.
What we build
Claude, OpenAI, and Gemini wired into your real business data. AI as a working layer in your operation, not a demo.
Custom database platforms — built new, or extended from what you already trust — with architecture that holds up for a decade.
Production React and TypeScript apps deployed on Vercel and backed by modern databases — fast enough to feel native.
Bidirectional sync between your database and your CRMs, dashboards, and APIs. The silo finally breaks.
Notion, Google Sheets, n8n, and custom tooling fused into one coherent operating layer. Fewer clicks, fewer errors.
Hardened database hosting with a 99.9% uptime SLA, automated backups, monitoring — and humans who actually answer.
Integrations
We specialize in wiring AI into the systems you already run — databases, cloud services, automation tools. If it has an API, we’ll connect it.
How we work
A focused 30-minute call about your systems, your bottlenecks, and what done looks like. Honest scoping — zero sales pitch.
We map the whole solution before writing a line of code: data models, API contracts, integration points. Designed before built.
Two-week cycles with working demos — real progress you can click, not status updates. AI, database, and web built in parallel by one coordinated team.
Production launch on infrastructure you trust, with monitoring, documentation, and ongoing support. We don’t vanish after go-live.
Proof
“Lenunu didn’t just build what we asked for. They built the operating system our team actually needed — AI, database, and automation working together without the daily friction.”
Dan Kaplan — CEO, LDP Inc.
Built with
FAQ
Most projects ship in 6–12 weeks. Discovery and architecture take 1–2 weeks, build runs in two-week cycles you review at the end of each, and we plan a hand-off window before go-live. Larger platform rewrites stretch longer — we’ll tell you what’s realistic before you commit.
Both. About two thirds of our work is fixing, extending, or modernising solutions that already exist. We start with an audit, surface what’s brittle, and propose the smallest set of changes that gets you to a stable, integration-ready base.
We treat AI as an interface or a transform, not a feature. Examples: turning unstructured notes into structured records, summarising long records on demand, classifying inbound data, drafting outbound copy. Calls live in a thin service layer so you can swap providers without touching the rest of your system.
Your choice. We deploy to your existing infrastructure, a managed cloud (AWS / GCP / Hetzner), or a hardened Linux box. Sensitive workloads stay in your region with full audit logs. We don’t take custody of your production data unless explicitly contracted to.
Fixed-scope projects get a fixed price after the architecture phase. Open-ended platform work is a weekly retainer with a published rate. You’ll see the scope, the budget, and the milestones in writing before any code lands.
Yes — month-to-month, no lock-in. Tiers cover monitoring, patch releases, small enhancements, and an SLA for incident response. If you bring your own internal team online, we hand the keys over and step back.
Contact
Starting from scratch, or fixing a system that’s grown past its limits — we’d like to hear about it. No commitment, no pitch deck. Just a conversation.