FDE support, commissioning AI projects, corporate training, API integration and co-hosted tech events. Echo sets out the requirements and acceptance criteria first, then FDEs and teams from our community build it and get it running on site. We deliver things you can use, not proposals.
For: companies that want to move ahead with AI adoption
01/05
Five ways to work with us, each set out under the same headings so you can compare them.
01.1
AI engineers work inside your operations and build and run what you need on the spot.
01.2
Echo sets out the requirements and acceptance criteria, then assigns the work to a team in our community.
01.3
From using AI models to rolling AI out across a company. A completion exam checks what participants have learned.
01.4
Multiple models through one API.
01.5
For AI model providers. We hold tech events with developers at Echo AI Cafe.
02/05
Who it's for, duration, estimated budget, billing method, deliverables, acceptance, what Echo does, and related case studies. All prices include tax.
02.1
An AI engineer who works inside your operations (a Forward Deployed Engineer) sits alongside your staff, finds where AI can take over, then builds, deploys and runs it on the spot.
02.2
For companies with an AI tool or system they want built. Echo takes on the project, sets out the requirements and acceptance criteria, then assigns it to a team in our community.
02.3
We offer Echo University courses to companies. Participants learn step by step, from using AI models and building agents to rolling AI out across a company, and a completion exam checks what they have learned.
02.4
Use multiple models ([Supported models]) through one API. API keys and usage details are managed in the developer console (a separate site).
Example call (the domain and model name are placeholders)
02.5
For AI model providers that want to get their models and APIs to developers. We hold tech events with developers and founders from our community at Echo AI Cafe locations.
03/05
Forward Deployed Engineer = an AI engineer deployed to the front line.
Headcount
Duration
Cost
| Item | Before | After |
|---|---|---|
| Headcount | 30 people | 9 people |
| Duration | 30 days | 10 days |
| Cost | ¥10 million or more | ¥3 million |
From discovering needs to improving company workflows.
Engineers who work inside the client's operations, not just write code in an office.
They sit alongside the staff, watch the daily workflow, find where AI can take over, then build, deploy and run it on the spot. The results show up in numbers.
More about FDEs04/05
Companies already know they should use AI.
What's missing is people who make it work on the ground.
They don't know where to start. People who understand the technology don't know the business, and people who know the business don't understand the technology. No one has been standing in between. The FDE is that person. The role was born at Palantir and spread by OpenAI and Anthropic. In Japan, few people fill this role yet.
99.7% of companies in Japan are small and medium-sized businesses. The less a company can afford a dedicated AI engineer, the more an FDE working inside its operations can help.
Source: Small and Medium Enterprise Agency (a Japanese government agency), “Number of Small and Medium-Sized Enterprises and Micro Businesses (as of June 2021): Tabulated Results” (published December 13, 2023). Small and medium-sized businesses: 3.365 million; all companies: 3.375 million.
05/05
Seven stages, from your first inquiry to the report on results.
Start by talking to us.
Talk to usA member of our team will get back to you within [Typical reply time].Not proposals, but things you can use.
We sit alongside your staff and build and run it on the spot. Results are confirmed in numbers.
