You inherited them. We redesign them.
Nobody designed your processes — they piled up, one on top of another. We redesign them as a system, eliminating before automating, and then we build.
You can't automate a process nobody can describe.
You grew by accretion. Every step solved yesterday's problem; none was designed as part of a system.
You decide to adopt AI and find there's no foundation to automate against.
You automate anyway. Now you have the same mess — faster, and harder to change.
Order matters more than tooling
Automation is stage 04, not 01Eliminate
What shouldn't exist goes first. Maximum impact, zero cost.
Simplify
Fewer steps is more reliable, not just faster.
Optimize
We tune what's left, now without dead weight.
Automate
Only now. AI on a simple process multiplies.
Measure
In business terms, not hours.
The diagnosis of where your value leaks.
Rx is an agentic system that explores your company and produces a diagnosis: where value is lost, what it costs, and what to fix first. It isn't a separate service — it's how we always start.
problem frequency × cost per occurrence × time horizon = cost of the status quo
Every term comes from your operation, not from benchmarks. When the data doesn't exist, we state the range and the assumption instead of inventing the number.
A fossil process isn't old. It's designed for an era that no longer exists. We name it, even when that's uncomfortable.
The diagnosis decides what to build. It's rarely what the client asked for on day one.
We don't show up with a catalog. We show up with a diagnosis, and the diagnosis decides.
We run the company the way we tell you to run yours.
Elytra isn't a consultancy that uses AI. It's an AI-native operation. Our knowledge lives as a version-controlled system that our agents read from and write to. Delivery capacity scales with compute, not headcount.
Client context, processes and technical decisions live version-controlled and machine-readable.
They read and write per domain, with permissions earned as they prove reliable.
Scales with compute, not headcount. Small team, high judgment.
The proof is that we're an AI-native company selling you on becoming one. That's evidence, not a testimonial.
Two situations. The same underlying problem.
The company that grew by accretion
Small or mid-sized, running more operation than its processes can carry. When it tries to adopt AI, it finds there's nothing to automate against: nobody can describe how the work happens today.
The independent professional at their time ceiling
Successful and stuck: they are the bottleneck. Processes live in their head, delegating means transferring tacit knowledge, and the business plateaus at the limit of one person's bandwidth.
The underlying problem is the same. And it can be systematized.
The method, applied and quantified.
First sale from the new prospecting engine, in an industry where the cycle typically runs up to 6 months. Individual close, not a pipeline average.
Before: hours or days, depending on the founder's availability. Economic measurement in progress.
A biotechnology PhD and a process engineer, redesigning together.
Sergio Moreno
Leads sales and co-leads strategy. Biotechnology Engineer, PhD and MSc in Productive Biotechnology. The business, decision and client-relationship front.
Román Parra
Co-leads strategy and leads the build. Industrial Production Engineer. Designs and builds the systems, the AI-native architecture and the agents.
One answers why and for whom. The other, how and with what.
Start by knowing what it costs you not to change.
The Rx diagnostic quantifies the cost of your status quo and tells you what to fix first — with auditable assumptions.