Your Operations, Running on Autopilot
We build the AI behind it — document processing at 99% accuracy, agents handling 5,000+ daily conversations, workflows that cut manual work by 85%. You focus on growing the business.
Why I Built
Elanova
I'm Ayman. I started Elanova after watching companies throw money at AI pilots that never left the prototype stage. The problem was rarely the AI itself, it was that nobody was engineering the systems around it. The data pipelines. The error handling. The monitoring. The boring, critical infrastructure that decides whether an AI project actually works on a Tuesday morning when real data hits it.
That's what we do. We build the full system — not just the model — and we stay until it's running in production without us. If it can be automated with AI, we've probably shipped something like it.
not prototype-grade
to the engineer
not just the model
support included
What We
Build
AI Agents &
Chatbots
Conversational AI that handles 5,000+ daily interactions, resolving 78% without a human. Grounded in your docs via RAG.
Explore →Document Automation
Extract, classify, and process documents at scale — invoices, contracts, reports. Zero manual data entry.
Explore →Process Automation
End-to-end workflow engines that connect your tools, automate decisions, and eliminate repetitive tasks.
Explore →Web Apps
Full-stack platforms with dashboards, real-time data, and seamless integrations. Built to scale.
Explore →Websites & Landing Pages
High-performance marketing sites engineered for conversion, speed, and search visibility.
Explore →How We
Work
Discovery
You tell us what's broken. We dig in, ask the uncomfortable questions, and figure out whether AI is the right fix — or if something simpler will do.
Build
We design and ship the system. You get weekly updates, working demos, and no surprises. Most projects go from kickoff to production in 6–10 weeks.
Handoff
It runs in your environment, with your data. We document everything, train your team, and stick around for 30 days after launch to make sure it holds.
Results,
Not Demos
9 production deployments · 6 industries · every number shown is real
5,000 Conversations a Day — Without Hiring
Read case study →Month-End Close in 4 Days, Not 12
Read case study →Three snapshots from nine production deployments — spanning logistics, healthcare, finance, e-commerce, and more. Each case study includes the full workflow breakdown and ROI calculation.
See all 9 case studiesCollaboration
Partner
Common Questions
How long does a typical project take?
Most projects land between 6 and 10 weeks, from the first call to running in production. It depends on scope — a document automation pipeline is usually faster than a multi-agent system. We'll give you a realistic timeline before any work starts, and we won't pad it.
Do you work with early-stage startups?
Yes — if the problem is clear. We've worked with teams of 5 and teams of 500. What matters isn't company size, it's whether there's a real process that AI can genuinely improve. If there isn't, we'll tell you that upfront and save you the money.
What if we don't have clean data?
That's normal. Nobody does, really. Part of what we do is build the data pipeline — the ingestion, cleaning, and structuring — before the AI layer even comes in. Messy data is the starting point for most of our projects, not a blocker.
What happens after the project ships?
We don't disappear. Every project includes 30 days of post-launch support — bug fixes, tuning, answering questions from your team. After that, we can set up a lighter ongoing support arrangement if you want one, or hand everything off completely. Your call.
How much does a project cost?
We work on fixed-price quotes — no hourly billing, no surprise invoices. Every project is scoped individually; the investment depends on complexity, integrations, and processing volume. See how we price for a full breakdown of what shapes the number — then get in touch for a scoped estimate.
Do you sign NDAs?
Yes. We're happy to sign your NDA before any conversation that involves confidential information. If you don't have one, we can provide ours. Discretion is a baseline, not an add-on.
Who owns the code and IP?
You do. Once a project is delivered and paid for, all source code, models, documentation, and infrastructure templates are yours — fully. We don't retain licenses, lock you into proprietary tools, or charge for ongoing usage. It's your system.
Got a process that's
eating your team alive? Let's fix it.
Tell us what's broken — we'll tell you honestly whether AI can fix it and what it would take. No decks. No 12-slide proposals. Just a straight conversation.
Prefer to reach out directly?
Usually reply within 24 hours.