Proof
Not pilots. Deployed proof.
The enterprise does not need another AI demo. It needs systems that cross departments, connect to real data, pass review, integrate into workflows, and create measurable progress. That is what Taller builds.
Featured case studies
Systems built to ship.
Aviation · RAG · Multi-Agent Workflows
Enterprise GenAI Framework for a Major Airline
Taller designed and built a generative AI solutions framework capable of supporting multi-agent workflows across departments — multi-agent orchestration, graph-based RAG, knowledge graph retrieval, re-ranking, and enterprise-scale deployment. From no unified enterprise AI capability to a scalable framework for applied generative AI across the organization.
Read the case study →Technology · Custom ML · Data Extraction
Custom ML Models for Intelligence
Custom machine learning models for intelligence and data extraction at scale.
Read the case study →Results we measure
The metrics that matter after the demo.
Requirement-to-code acceleration
Manual rework reduction
First-pass accuracy
Cycle-time compression
Release quality
Integration success
Security evidence
Business outcome movement
Output density
Revenue per team member
Time to validated release
The future services dashboard does not ask, “How many people worked on this?” It asks, “What changed, how fast, how safely, and with what proof?”