Natural-language query agents
Agents that answer real questions against a live database — confirming customer queries, pulling records, and responding accurately instead of guessing.
AI, LLM & NLP Solutions
AI agents that query your real data, not a demo database
Eonovate builds production AI agents and natural-language query systems — sales assistants, co-pilots, and domain-specific AI — powered by leading LLMs and connected to your live business data.
The problem
Most "AI features" are demos, not production systems
It's easy to wire up a chatbot that sounds smart in a sales call. It's harder to build one that actually knows your inventory, your customers, your pricing, and can be trusted to answer correctly — in production, against live data, every day.
What we build
Agents built for a specific job, not a general demo
Sales agents & co-pilots
Task-specific agents — a sales AI that qualifies and engages leads, a co-pilot that assists your team through real workflows, built around what your business actually needs done.
Domain-specific AI assistants
Industry-trained assistants built for specialized terminology and workflows — like a veterinary AI assistant built for a livestock operation's specific needs.
Voice assistants & smart analytics
Voice-driven interaction and natural-language analytics on top of the same agent infrastructure, so your team can ask questions instead of building reports.
Featured project
AI Suite: a multi-agent system built for a livestock business
Our AI Suite deployment combined a Co-Pilot Agent, a Sales AI, a domain-specific Vet AI, Smart Analytics, a Voice Assistant, and media tools — all answering real queries against a live database, built on Claude, Llama 3.3, and Groq. It's a working example of what "AI-powered" means in production, not in a pitch deck.
A multi-agent suite — Co-Pilot, Sales AI, Vet AI, Smart Analytics, Voice Assistant — built on Claude, Llama 3.3, and Groq, confirming real customer queries against a live database.
3
LLMs in production: Claude, Llama 3.3, Groq
6
Agents in one suite
FAQ
Common questions about AI & LLM agent builds
Which AI models do you work with?
We build on leading LLMs rather than locking you into one — our AI Suite work has shipped with Claude, Llama 3.3, and Groq (for low-latency inference), choosing whichever model fits the task, cost, and response-time needs best.
Can the AI agent actually access and query our own data?
Yes — that's the core of what we build. Rather than a standalone chatbot, our agents connect to a live database so they can answer real questions about your actual business data, confirm customer queries, and take action, not just talk about it.
Is this just a chatbot, or something more?
More. A generic chatbot answers generic questions. What we build are task-specific agents — a sales agent that qualifies leads, a co-pilot that assists staff with real workflows, a domain-specific assistant (like a veterinary AI for a livestock business) — each connected to live data and built for a specific job.
Can you build an AI assistant specific to our industry?
Yes. One of our AI Suite deployments included a domain-specific "Vet AI" built for a livestock business alongside a general sales agent and co-pilot — the same approach works for any industry with specialized terminology or workflows.
Do you build voice assistants as well as text-based agents?
Yes, voice assistant capability has been part of our AI Suite deployments alongside text-based agents, smart analytics, and natural-language query tools — the right interface depends on how your team or customers actually want to interact with it.