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.
Where AI Helps
Operational Problems
Operational Problems
We Solve
AI Systems
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.
Process Automation
End-to-end workflow engines that connect your tools, automate decisions, and eliminate repetitive tasks.
Also available
Explore →
Web Apps
Full-stack platforms with dashboards, real-time data, and seamless integrations. Built to scale.
Also available
Explore →
Websites & Landing Pages
High-performance marketing sites engineered for conversion, speed, and search visibility.
Case Studies
Results,
Results,
Not Demos
9 production case studies · 5 industries · all outcomes from live systems
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 case studies — spanning logistics, healthcare, finance, e-commerce, and more. Each case study includes the full workflow breakdown and ROI calculation.
See all 9 case studies
Process
How We
How We
Work
1
Discovery
You walk us through the process that's slowing your team down. We map the workflow, identify where AI actually adds value, and evaluate data quality, integrations, and edge cases. If AI isn't the right solution, we'll tell you.
- Feasibility assessment
- System architecture outline
- Realistic timeline & cost estimate
2
Build
We design and deploy the full system — not just the AI model. That means data pipelines, AI models or agents, integrations with your tools, and monitoring with error handling. You see progress every week through working demos.
- Data pipelines & integrations
- AI models or agents
- Monitoring & error handling
- Weekly demos & updates
Shipped in logistics, finance, healthcare, and SaaS environments. Most systems reach production in 6–10 weeks.
3
Handoff
The system runs in your infrastructure with your data. We hand over everything your team needs to own it — or stay involved for ongoing improvements if you prefer.
- Full documentation
- Deployment scripts
- Team training
- 30 days post-launch support
Runs in your infrastructure
·
Fallback mechanisms included
·
Human-in-the-loop where needed
Book a Free Strategy Call
Free 30-minute session · No commitment
Why Companies
Choose Elanova
Your team is spending thousands of hours a month on work that shouldn't require a human. Document processing. Data entry. Repetitive approvals. Status updates. Every hour burned on that is an hour not spent on the work that actually grows your business. That's not an efficiency problem — it's a competitive one.
We build the AI system that eliminates it. Not a prototype, not a proof of concept — a production system integrated into your stack, handling your real data, running reliably on a Monday morning without anyone babysitting it. Fixed price. Full source code. In production within weeks.
Case Studies
9 production systems across 5 industries
Stack
Python · LangChain · Azure AI · React · FastAPI
Timeline
6–10 weeks from kickoff to production
Your invoices. Your contracts. Your approvals.
Handled automatically — on a Monday morning, without anyone babysitting it.
Production-grade,
not prototype-grade
not prototype-grade
Direct access
to the engineer
to the engineer
The full system,
not just the model
not just the model
30 days post-launch
support included
support included
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.
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.
Visit Qynzoo ↗
Book a Free Strategy Call
Got a process that's
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.
What happens on the first call
The agenda
30 minutes. You describe the process you want to automate. We ask the questions that uncover what's actually hard — the edge cases, the data, the integrations. No slide decks on either side.
What you leave with
An honest read on whether AI is the right fit, a rough sense of scope and complexity, and a clear next step — either a written estimate or a frank "not yet, here's why."
What to bring
A description of the process (rough is fine). Volume numbers — documents, transactions, or conversations per day. And the pain point in plain language. That's enough to have a useful conversation.
Free consultation
No obligations
Reply within 24h
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