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+ conversations daily, workflows that cut 85% of manual work.
The Problem
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.
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
Web Apps
Full-stack platforms with dashboards, real-time data, and seamless integrations. Built to scale.
Also available
Websites & Landing Pages
High-performance marketing sites engineered for conversion, speed, and search visibility.
Case Studies
Results,
Results,
Not Demos
9 production case studies · 6 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 →Each case study includes the full workflow breakdown and ROI calculation.
See all 9 case studies
Process
How We
How We
Work
1
Discovery
We map your workflow, identify where AI adds real value, and evaluate data quality and edge cases. If AI isn't the right fit, we'll say so.
- Feasibility assessment
- System architecture outline
- Realistic timeline & cost estimate
2
Build
We build the full system — data pipelines, AI models, integrations, and monitoring. You see progress weekly through working demos.
- Data pipelines & integrations
- AI models or agents
- Monitoring & error handling
- Weekly demos & updates
3
Handoff
The system runs in your infrastructure. We hand over everything your team needs — or stay involved 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
Why Companies
Choose Elanova
We close the gap between an AI demo and a system that reliably runs in your business — on your data, at your scale, with your edge cases handled.
Track Record
Production AI systems shipped across multiple industries
Timeline
6–10 weeks from kickoff to production
Stack
Python · LangChain · Azure AI · React · FastAPI
Production-grade,
not prototype-grade Built to handle real-world load, edge cases, and failures — not just pass a demo.
not prototype-grade Built to handle real-world load, edge cases, and failures — not just pass a demo.
Direct access
to the engineer You talk to the person building your system, not a project manager relaying messages.
to the engineer You talk to the person building your system, not a project manager relaying messages.
The full system,
not just the model Data pipelines, APIs, monitoring, and deployment — everything needed to run in production.
not just the model Data pipelines, APIs, monitoring, and deployment — everything needed to run in production.
Fixed price,
no surprises Clear scope agreed upfront. No retainers, no hourly billing, no hidden costs.
no surprises Clear scope agreed upfront. No retainers, no hourly billing, no hidden costs.
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 partner for complex builds — 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. No decks, just a straight conversation.
Free consultation
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