janyl

Put AI at the heart of your business

janyl is a Forward Deployed Engineering agency that builds production-grade AI agents for SMEs.

get started

Your agents work where your team talks

Forward Deployed Engineering

A new essential role in any business.

Forward Deployed Engineer (FDE) job listings on Indeed rose 729% in the year to April 2026. A FDE embeds in teams, understands how they work, and helps them apply AI more effectively.

The median FDE base salary in the UK is about EUR 127k, and frontier labs charge far more: their FDE engagements reportedly start at $10 million.

Our mission at janyl is to offer top-tier FDE to Europe's 1.8 million SMEs, nearly one in five of which already use AI. If you're thinking about onboarding a FDE, consider janyl. We build production grade agents on a timetable and budget that's adapted to the demands of SMEs.

our method

An engineer turning a laptop towards three colleagues at a table.

Agents

What our agents do daily

Three colleagues whose speech bubbles are joined by a tangled thread being straightened into a binder.

Team management

Our agents monitor team chats. They proactively unblock conflicts, move tacit information into official sources, and boost team morale.

A toppling stack of app windows on one end of a desk, one person at a single chat window on the other.

SaaS replacement

Most workflows in companies go through SaaS. Our agents help companies consolidate and replace SaaS with agentic workflows that are tailor made for their business.

A small chat screen with a clipboard standing at a meeting-room door as a colleague walks in.

Security, roles, and agreements

Our agents remember and enforce decisions made online or in meetings as well as written and informal company policies, making sure that work stays safe and on-task.

Our clients

The sectors we work across

Method

Our method, refined over numerous FDE engagements

Audit

We do a deep dive into how your teams are organized, choosing one that will become a logical internal champion. We get to know the people, their culture, their processes and their tools.

Agent 1.0

We deploy an initial agent in a matter of days that learns from and with a team. It proactively asks questions, builds a model for how things work, and slowly offers to insert itself into workflows where it can add value.

Grow and maintain

The agent grows through its internal champion, linking logically to other teams through day-to-day work. In this way, the process is bottom-up, never top down, and adoption is a natural outgrowth from collaboration.

Case study

An agent that joined a regulated software team

A European software company working under medical-device regulation brought Otto into its team channels. Within weeks Otto was auditing quality procedures, checking adverse-event exports row by row, and answering infrastructure questions for live clinical trials.

read the case study

An engineer checking a printed table row by row, a chat screen reading along.

risk review

colleaguegreat that there was clearly only 2 that Otto tagged, we have done good job with our risks

colleagueYeah seems really good! Of course good to go through manually quickly too if wanted/needed (depending how precise it is) but I've found that Otto is quite good with these

deal decision

colleagueGreat done! We are moving forward with this deal. Thanks!

agentLet's go.

research summary

colleagueThis is a pretty amazing summary. Do you store my notes / this discussion? Can we easily get back to this at some point?

Praise

What our clients are saying

Our clients love their agents. They congratulate them when they do a good job, use them as sparring partners, and trust them with mission critical tasks every day.

We regularly get word of celebrations big and small with agents. That's what keeps us going at janyl.

58% of French SME leaders say AI will be important to their survival within five years.

Move early and get a head start.

get started