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Your Operations, Running on Autopilot

Built for ops teams, CTOs & founders

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.

Shipped 4 production AI systems in the last year
Stack Python · LangChain · Azure AI · React · FastAPI
Timeline 6–10 weeks from kickoff to production
Ayman Santeer — Founder of Elanova AI
Ayman Santeer Founder & AI Engineer
Production-grade,
not prototype-grade
Direct access
to the engineer
The full system,
not just the model
30 days post-launch
support included

How We
Work

1

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.

2

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.

3

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.

Case Studies

Results,
Not Demos

9 production deployments  ·  6 industries  ·  every number shown is real

Document Automation · Logistics

From 40 Hours of Data Entry to Zero

€155K saved annually • 99% accuracy • 85% less manual work

10,000+ invoices automated monthly. Three FTEs redirected from data entry to vendor negotiations. Error rate dropped from 12% to under 1%.

Read case study →
AI Agents · SaaS

5,000 Conversations a Day — Without Hiring

78% tickets auto-resolved • €210K headcount avoided

5,000 daily support interactions handled automatically via RAG. Complex cases still escalate. The team now chooses which problems deserve their time.

Read case study →
Process Automation · Finance

Month-End Close in 4 Days, Not 12

€175K saved annually • 8 working days recovered per close

Automated reconciliation across accounts. Exceptions flagged for human review. Audit-ready reports generated the same way, every time.

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 studies

Collaboration
Partner

Qynzoo AI automation & systems integration — Mostafa Yaghi's team joins ours on complex builds requiring n8n workflows, CRM integrations, and local AI deployments.
n8n Workflows Systems Integration Local AI Deployments End-to-End Builds
Visit Qynzoo ↗

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.

Free consultation No obligations Reply within 24h

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Let's Talk