Healthcare & Life Sciences
Streamlined hospital workflows and better outcomes for every patient.
ExploreTurn AI pilots into everyday business tools
Our engineers work with your team to connect AI models to your systems, data, and workflows until they run reliably.
Talk to an FDE lead
IN NUMBERS01
Our proof in numbers
20+
Years in industry
Two decades of engineering resilience into enterprise systems, across industries, platforms, and transformation cycles.
550+
Technology consultants
Our delivery model is structured for accountability, by design. Over 35% of our talent has more than 9 years of experience.
600+
Projects delivered
Across Salesforce, Odoo, cloud, data, and custom enterprise applications for mid-market and enterprise teams.
07
Global offices
Our global offices bring us closer to our clients, enabling faster decisions, local alignment, and seamless real-time delivery.
What we do02
What our FDE pod can help
Each pod brings together two to five senior engineers, working side by side with your own developers and operators.
Deployment engineering
We take models that work in testing into your production systems, sorting out logins, permissions, and response times along the way.
Integration and orchestration
Our team links AI to your data, tools, and approval steps, so it fits into the processes your people follow today.
Data plumbing
Sedin’s engineers build secure pipelines from your databases to the model, with privacy and access rules set before data leaves your network.
Platform and MLOps
We set up the testing and release tools your team needs, so the second and third models take less time and money than the first.
Adoption engineering
Our engineers sit with the people who’ll use the system, notice where it slows them down, and make changes until it’s easy to use.
Hardening and handover
Before we leave, we add monitoring, write clear operating guides, and train your engineers to run the system on their own.
Two-day deployment gap review
Two of our engineers will spend two days inside your environment and come back with the specific reasons your AI has not reached daily use.
How we work03
How a deployment runs
Our team sets one clear goal with you in writing before the pod starts, so there’s no confusion about what success looks like.
STEPS
Week 1
Understanding the context
The first week is spent with your operators, watching the process and reading through the systems.
Weeks 2 to 4
Build inside your systems
Our engineers write code in your setup, follow your standards, and use your review process, so their work is approved without rework.
Weeks 4 to 8
Bring people on board
We roll the system out to a handful of users first, then widen access as feedback comes in and usage grows week by week.
Weeks 8 to 12
Harden and hand over
Your team gradually takes the lead while our engineers step back. By the final week, your people manage it without any help.
Why sedin04
Why clients choose Sedin
Proven deployment experience
Our engineers have deployed AI systems across many industries, so they know where deployments typically go wrong.
Inside your constraints
Building under your security policies from day one brings hidden restrictions to light early, long before they can delay a launch.
A fixed end date
Every pod has a set finish date in the contract, which means you can plan your budget with confidence and avoid open-ended costs.
More expertise when you need it
If the problem is bigger than expected, the pod can call on Sedin’s 550+ consultants, including platform, data, and security specialists.
Industries05
Industries we serve
Each sector brings its own regulations, shift patterns, and ways of working and our engineers plan around them in every deployment.
Music
Manufacturing
Energy & Utilities
Retail & Ecommerce
Platforms and partners06
Tools and platforms we work with
Every pod works with the model providers and cloud platforms your security team has already approved.
Proof07
Client stories
View all
Fersa
A headless eCommerce transformation that brought greater flexibility to Fersa’s multi-brand operations, complex product catalog, and B2B buying experience.
Manufacturing20,000 Products on a single, searchable platform
17,000 accounts managed with its own pricing and access
Multiple brands run from one setup without separate stores
VIEW CASE STUDY
GRT Global Logistics
Cutting weekly regression testing from 80 hours to 16 without adding headcount.
Logistics80% testing time saved
1,000+ test cases automated
10 min max execution time
VIEW CASE STUDY
Clinical Minds
A scalable Selenium + Cucumber framework, integrated into CI/CD.
Healthcare1,000+ test cases created
80% E2E UI automation
75% test cases automated
VIEW CASE STUDY
FAQ08
Frequently asked questions
A senior engineer who works inside your company instead of from a remote delivery center. They use your systems, join your reviews, and see problems that are hard to spot from the outside.
Staff augmentation fills a role on your team, and you direct the work. An FDE pod takes responsibility for the outcome and decides how to get there. You sign off on the result, not a list of tasks.
Usually two to three months. If you want to tackle a second goal afterward, we plan and price it as a separate engagement.
On site for the first few weeks, since that’s where most of the unwritten knowledge is. After that, it’s usually a mix of on-site and remote work.
Get in touch09