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 that turns into working systems
Every experiment is tracked like a product: source data, model version, evaluation score, cost profile, and deployment notes in one clean record.
AG-Eval Run 04
Support model · production candidate
Intake
42
client datasets mapped
Evals
1.8M
test cases scored
Latency
412ms
median response time
What We're Building
Custom Model Training
ActiveFine-tuning and training proprietary models for domain-specific tasks — customer service, lead qualification, document processing, and more.
Agent Architecture
ActiveMulti-step AI agent systems that reason, plan, and execute complex business workflows autonomously.
RAG Systems
ActiveRetrieval-augmented generation pipelines that ground AI in your company data — accurate answers, zero hallucination.
Voice AI
ResearchReal-time voice agents for phone-based customer interactions — appointment booking, support triage, outbound qualification.
Self-Hosted Inference
ActiveOpen-weight models on dedicated infrastructure for clients who need data privacy, lower latency, or cost control at scale.
Evaluation & Benchmarking
ResearchFrameworks for measuring AI quality — response accuracy, latency, cost-per-query, and business outcome correlation.
Model Previews
Purpose-built models trained on real business data. Each one solves a specific problem better than any general-purpose model can.
Fine-tuned for multi-turn customer support. Handles returns, billing, and escalation routing with 94% resolution rate.
Scores and qualifies inbound leads through natural conversation. Integrates with CRM pipelines to auto-route opportunities.
Extracts structured data from invoices, contracts, and forms. Outputs clean JSON for direct database integration.
Real-time voice model for phone-based interactions. Sub-500ms response latency with natural conversational flow.
How We Build AI
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.
Use the best model for the job
Frontier APIs, open-weight models, and our own fine-tuned variants. No vendor lock-in — we pick what performs best for your use case.
Own your infrastructure
Clients who need it get self-hosted inference on dedicated hardware. Your data stays yours. Your models stay yours.
Measure everything
Every AI system ships with evaluation pipelines — accuracy, latency, cost-per-query, and business outcomes. If it can't be measured, it doesn't ship.