Agents that do the work, not just the demo.
Nuvaris builds custom AI agents: assistants, automation, voice agents and multi-agent systems. Connected to your tools, supervised by your teams, never left alone on a sensitive action.
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availability
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of requests handled unaided
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to a first response
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supervised & traceable
An agent for every function
We start from your real process, not from a generic chatbot. Every agent is scoped, wired into your tools and supervised.
Customer service
Answers 24/7 on your site and channels, resolves the simple cases, escalates the rest to a human with the full context.
Talk it throughSales & prospecting
Qualifies incoming leads, follows up at the right moment, prepares quotes and updates the CRM on its own.
Talk it throughTechnical support
Sorts tickets, answers from your documentation, proposes solutions and prioritises the urgent ones.
Talk it throughHR & recruitment
Pre-sorts applications, answers candidates’ questions, prepares onboarding and paperwork.
Talk it throughFinance & admin
Extracts invoices, reconciles payments, chases unpaid bills and feeds your accounting.
Talk it throughInternal agents
Document search (RAG) across your data, summaries, assisted writing, automation of repetitive tasks.
Talk it throughSupport that never sleeps
It answers instantly, knows your orders and your policies, and knows when to hand over. Your customers are served at night, at weekends, in the middle of a campaign.
- Answers drawn from YOUR data
- Human escalation with the full context
- Multichannel: site, email, WhatsApp
- A complete, traceable history
Typical results
Customer service agent
-70 %
of level 1 tickets
< 30 s
average response time
+18 pts
satisfaction (CSAT)
No lead slips through the net
It qualifies every enquiry, follows up at the right moment with the right message, prepares the quote and alerts the sales rep when a deal heats up. The CRM stays up to date on its own.
- Automatic qualification & scoring
- Personalised follow-ups at the right moment
- Quotes drafted in advance
- Live pipeline updates
Typical results
Sales agent
+32 %
of leads qualified
x3
follow-up speed
-40 %
of manual data entry
All your knowledge, searchable
Your procedures, contracts, records and history become a base you can query in plain language. Your teams find the right answer in seconds, with the sources to back it up.
- Document search (RAG) across your data
- Sourced, verifiable answers
- Summaries & assisted writing
- Automation of repetitive tasks
Typical results
Internal agents (RAG)
-60 %
of search time
100 %
of answers sourced
0
data used to train a public model
A clear architecture, not a black box
Your data stays with you. The agent reads, reasons, acts — and every step is logged.
1 · Your data
Documents, CRM, catalogue, history — connected read-only, kept separate per client.
2 · Reasoning
LLM + RAG: the agent understands the request and retrieves the exact information, with its source.
3 · Actions (MCP)
It acts inside your tools: create a ticket, send an email, update a record.
4 · Control
Human supervision, security rules, a complete log, and everything reversible.
What an agent can handle
Beyond the job it covers, an agent is defined by what it can access and what it can read.
Voice agents
Phone reception and switchboard, with handover to a human.
Workflow automation
Tasks chained across your tools, hands-off.
Connection to your tools
Native access to your software over MCP, no manual export.
Model integration
The model is chosen for the task, not for the hype.
Document reading
Extraction and sorting from PDFs, images and scans.
Cost monitoring
Per-agent consumption tracked, caps set in advance.
Agents that work together
One agent qualifies, another writes, a third updates the CRM. An orchestrator coordinates them — like a team, continuously.
- Each agent has a precise role and its own permissions
- They pass the context along without losing information
- The orchestrator arbitrates, prioritises and logs
Try an agent
Pick a question — the agent answers as it would at your company.
A real agent, wired into the Nuvaris assistant. At your company it would also be wired into your data, supervised and kept separate.
An agent is only worth as much as your data.
Before wiring up a model, you have to know where the information lives, who is allowed to read it and which copy is authoritative. That invisible work is what separates a demo from a usable tool.
What teams ask us
Another question? We answer it directly, without jargon.
What happens to our data?
It stays confined to your instance, encrypted in transit and at rest, with named and logged access. It is never used to train a public model.
Can the agent get it wrong or make things up?
We anchor it to your data (RAG) with sourced answers, we bound its scope, and we keep a human in the loop on sensitive actions. Every decision is logged.
How long for a first agent?
A first useful agent in 2 to 4 weeks, depending on scope. We start on one precise, measurable case, then extend.
Does it integrate with our current tools?
Yes — through APIs and the MCP protocol: CRM, email, helpdesk, e-commerce, databases, Slack… If a tool has an API, we connect to it.
Who stays in control?
You do. Security rules, human approvals, a complete log and a stop button. You own the configuration and can audit everything.
What the agents are built with.
No proprietary platform: standard components your team can audit and take over.
- PHP
- JavaScript
- TypeScript
- Python
- Swift
- Kotlin
- Go
- Dart
- Laravel
- Symfony
- React
- Vue.js
- Next.js
- Node.js
- Tailwind CSS
- Livewire
- Alpine.js
- Vite
- Flutter
- PostgreSQL
- MySQL
- MariaDB
- Redis
- MongoDB
- SQLite
- Docker
- Git
- GitHub
- GitLab
- Linux
- Nginx
- Vercel
- Cloudflare
- Ubuntu
- Oracle
Ready to put an agent to work?
We start from one concrete, measurable case. Free audit, demo on your data, no commitment.
Get the right levers to equip your business.
Once a month: automation, security, performance and field reports from SMBs that took back control of their tools.
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