Healthcare & Life Sciences
Streamlined hospital workflows and better outcomes for every patient.
ExploreGo from AI to ROAI
Sedin helps turn AI ideas into working solutions, focusing on use cases that deliver a real return on investment.
Consult an AI expert
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.
10+
Industries served
Including healthcare, finance, energy, and retail, where governance and accuracy requirements shape every design decision.
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
How we can help
Some clients come to us with a long list of AI ideas. Others have a pilot that hasn’t moved in months. These services cover both, and everything in between.
AI readiness assessment
Our team looks at your data, systems, and in-house skills to see what’s ready for AI today, then list the gaps in the order they need to be fixed.
Strategy and roadmap
We help your leadership rank AI ideas by expected value and effort. The roadmap usually starts with two or three that can show results quickly.
Generative AI builds
Sedin builds chat assistants, smart search, and document tools on your company’s own knowledge, with regular checks to keep answers accurate.
AI governance
Our consultants help you set clear AI rules on who can access what, and how decisions are recorded, making approvals easy for your legal and risk teams.
Model integration
We connect AI models to the software your teams already rely on, like your ERP and CRM, so answers show up inside the process instead of beside it.
Production support
After launch, our engineers keep an eye on accuracy and response quality, and update the models as your data changes over time.
AI readiness score in five minutes
Answer twelve questions about your data, your platform, and your use cases. You get a maturity score and the one use-case worth building first.
How we work03
How we take AI to production
A four-stage process designed to validate feasibility early, ensuring we only scale the use cases that prove their value.
STEPS
Weeks 1 to 3
Score the foundations
Our team reviews your data quality and access, then compares each AI idea against what your systems can support today.
Weeks 3 to 6
Test with your data
We build a small prototype on a sample of your records and share the results openly, including where it falls short.
Weeks 6 to 14
Get ready for launch
Our engineers add the safeguards, testing, and monitoring a live system need, then run a final review with your team before launch.
Ongoing
Measure and expand
We report on accuracy and adoption at regular intervals. Once the first use case is running smoothly, we help you plan the next one.
Why sedin04
What sets our AI consulting apart
Built by engineers
Our AI advice comes from people who build and maintain production systems every day, which keeps every plan grounded in what’s practical.
Skills that stay with you
Our engineers share what they know as they build, so your team gains AI skills it can use on future projects.
Governance from the start
Privacy, security, and audit controls are designed in from the start, which matters most in healthcare and other regulated sectors.
A clear return on AI
We track cost per task and hours saved before and after launch, reported in terms your finance team cares about.
Industries05
Industries we serve
Each sector has its own rules and risks around data and automation. Our team brings that context into every AI project to make sure the outputs are useful and safe to act on.
Music
Manufacturing
Energy & Utilities
Retail & Ecommerce
Platforms and partners06
Models and platforms we work with
We’re not tied to a single AI provider. Our engineers recommend the model and platform that best fit your use case, budget, and data rules.
Proof07
Client stories
View all
Gaea Global
Replacing manual slotting guesswork with an engine that tells warehouse teams exactly where each product should sit, before it even arrives.
Supply chain & logistics40% Reduction in processing costs
10,000+ Paper reports digitized
3x Faster document turnaround
VIEW CASE STUDY
Enphase
Firmware updates and real-time monitoring for a fleet of millions of distributed energy devices.
Energy<2 hrs fault resolution time
95% dynamic system configuration
100% country-level compliance
VIEW CASE STUDY
CPG
A mobile-first rebuild with real-time pricing, multi-state compliance, and automation-ready foundations.
Energy10 days mobile MVP shipped
40% mobile traffic served
0 manual pricing uploads
VIEW CASE STUDY
FAQ08
Frequently asked questions
A focused use case built on data you have today can go live in eight to fourteen weeks. If your data or systems need groundwork first, it takes longer. In that case, we plan a smaller early win for the first quarter while the groundwork continues.
Not all of it. Only the data behind your first use case needs to be complete, current, and easy to trace. Our team fixes any gaps there as part of the build, so there’s no need to pause for a company-wide cleanup.
Before launch, we build a set of test questions from your own examples and check every update against them. In daily use, the model answers only from approved sources, every response is logged, and anything uncertain goes to a person to review.
Yes, and it is the most common shape. Your team has usually built prototypes and needs the production layer, which means pipelines, evaluation, monitoring, and governance. We document as we build, so ownership sits with your engineers when we leave.
Get in touch09