Improve accuracy, efficiency, and scale of AI systems
LLM APIs and AI agents can perform well when implemented right. They can automate advanced workflows and solve puzzling problems. Building an accurate pipeline of prompts, however, is not a simple task. Prompt build-up and complexities will slow down the system and compromize the output quality.
Most AI systems work fine in development. It's when they hit real usage — varied inputs, edge cases, volume — that the cracks appear.
We don't guess at what's wrong. We start with a structured audit, then apply targeted solutions to real bottlenecks.
We analyze where your current LLM stack breaks down — prompt architecture, retrieval design, agent routing, cost structure, and output quality.
Smart use of LLMs, APIs, and your existing tools — we map out what to connect, what to replace, and what to leave alone.
Focused solutions for real bottlenecks — not a full rebuild. We deliver targeted improvements that have measurable impact on speed, accuracy, and cost.
We don't disappear post-launch — we keep improving. Your AI system gets better over time as usage patterns reveal new optimization opportunities.
Optimization without diagnosis is guesswork. We follow a structured process to find the real problems before writing a single line of new code.
We map your current AI pipeline end to end — prompts, tools, retrieval, latency, cost, and output quality — and produce a prioritized list of what to fix first.
We build focused solutions for your highest-impact bottlenecks. No unnecessary rewrites. Every change is tested against your real-world data and usage patterns.
We deploy improvements, instrument your system for ongoing visibility, and iterate as real-world usage reveals the next set of opportunities.
"… translated a bold, abstract idea into a working foundation, offering a simple yet elegant solution."
"Glissando AI provided the generative AI expertise that our company needed."
"Amin is great to work with, very knowledgeable, and delivered a great product."
"Great quality work, exactly what we were looking for — professional, knowledgeable, and reliable."
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