We design AI systems that are self-improving.
Esguil designs and measures AI systems built around your specific use case, deployed on your own infrastructure. No overengineering. No 500 agents running for nothing. AI goes in where it earns its place, and only there.
Your data stays on your infrastructure. Always.
What we believe
Three principles that shape every system we design.
On-premise by design
Your data never leaves your infrastructure. Privacy isn't a feature we bolt on, it's where the design starts.
We measure, not guess
Before AI goes into a process, we measure whether it actually improves it. Not because it looked good in a demo.
Right-sized, not trend-sized
A small, well configured model beats a large one badly applied. We design for the problem, not the spec sheet.
How we work
We understand your use case
Your workflows, your bottlenecks, your data. Not a generic template.
We design the minimum system that works
Which parts need AI and which don't. Traceable and explainable at every step.
We deploy and measure
Clear metrics on what improved and why, not a feeling that things got better.
We leave something that lasts
Self-improving where it makes sense. Built to keep working even as the technology underneath changes.
Case study
"A support team was drowning in inbound emails. We built a classifier that routes only the ambiguous cases to a human and auto-drafts the rest — no large model, no dozens of agents."
Case study
"A team was quoting suppliers by hand — reading requests, emailing back and forth, building budgets one by one. We built a pipeline that drafts the outreach, tracks the negotiation, and generates the quote — a human checks it, doesn't build it."
Case study
"A marketing team was A/B testing ad copy one variant at a time. We built an LLM-guided loop that generates, tests, and refines copy against real performance — weeks of testing, down to days."
Project
"An industrial line relied on hand-tuned heuristics. We built a self-improving search loop, evolving heuristics against real production data — readable, auditable, no black box."
Got a process that you'd actually like to automate?
Tell us what workflow or piece of the job is costing you time. We'll tell you honestly whether AI belongs there.