AnovaAI Labs

Research & Documentation

We don't just use AI — we build it. AnovaAI Labs is our research arm focused on custom models, agent systems, and applied AI that solves real business problems.

Research Focus

What We're Building

Custom Model Training

Active

Fine-tuning and training proprietary models for domain-specific tasks — customer service, lead qualification, document processing, and more.

Fine-tuningLoRADomain Adaptation

Agent Architecture

Active

Building multi-step AI agent systems that can reason, plan, and execute complex business workflows autonomously.

Tool UsePlanningMulti-Agent

RAG Systems

Active

Retrieval-augmented generation pipelines that ground AI responses in your company data — accurate answers, zero hallucination.

Vector SearchEmbeddingsKnowledge Bases

Voice AI

Research

Real-time voice agents for phone-based customer interactions — appointment booking, support triage, and outbound qualification.

Speech-to-TextTTSReal-Time

Self-Hosted Inference

Active

Running open-weight models on dedicated infrastructure for clients who need data privacy, lower latency, or cost control at scale.

vLLMQuantizationGPU Optimization

Evaluation & Benchmarking

Research

Internal frameworks for measuring AI system quality — response accuracy, latency, cost-per-query, and business outcome correlation.

EvalsMetricsQuality Assurance
Model Registry

Model Previews

Purpose-built models trained on real business data. Each one solves a specific problem better than any general-purpose model can.

AG-Support-v1Customer Service Agent

Fine-tuned for multi-turn customer support conversations. Handles returns, billing questions, and escalation routing with 94% resolution rate.

Production
AG-Qualify-v2Lead Qualification Agent

Scores and qualifies inbound leads through natural conversation. Integrates with CRM pipelines to auto-route qualified opportunities.

Production
AG-Extract-v1Document Processing

Extracts structured data from invoices, contracts, and forms. Outputs clean JSON for direct database integration.

Beta
AG-Voice-v0Voice Agent (Preview)

Experimental real-time voice model for phone-based interactions. Sub-500ms response latency with natural conversational flow.

Preview
Our Approach

How We Build AI

01

Start with the problem, not the model

We evaluate whether AI is even the right tool before building anything. Sometimes a well-designed workflow beats a neural network.

02

Use the best model for the job

We work with frontier API models, open-weight models, and our own fine-tuned variants. No vendor lock-in — we pick what performs best for your use case.

03

Own your infrastructure

Clients who need it get self-hosted inference on dedicated hardware. Your data stays yours. Your models stay yours.

04

Measure everything

Every AI system we ship includes evaluation pipelines — accuracy, latency, cost-per-query, and business outcomes. If it can't be measured, it doesn't ship.

Interested in what we're building?

Whether you need a custom AI model, want to explore self-hosted inference, or just want to talk about what's possible — we're here.

Talk to Our TeamRead Our Blog