Three things we bring to the table
Healthcare depth
Senior, certified delivery
Cost-Disciplined Builds
What we build
AI
Healthcare AI and ML to production.
MLOps, model governance, and agentic AI workflows
Staff augmentation
Databricks staff augmentation and embedded pods.
Senior, healthcare-fluent Databricks engineers who join your stack and your standups
ETL
Legacy data migration and modernization.
Moving off a warehouse-first setup or an underused Databricks investment into a governed lakehouse built for regulated workloads.
How an engagement actually works
A short, structured read of where your data platform stands: whether you're standing Databricks up, fixing what's fragile, or scaling a setup that already works. Delivered as a written assessment you can act on.
A concrete plan tied to a first milestone: a migrated pipeline, a live FHIR integration, or a model moved out of pilot. No open-ended statement of work.
Delivery flexes to how your team is set up. If you already have engineers and an architecture, we embed a senior pod in your stack, repo, and standups, and you keep architectural ownership. If you're starting from zero, we run the build end to end as a product team and hand back a documented architecture. Senior engineers ship against the plan in scoped increments either way.
Unity Catalog, lineage, and access control are documented and handed to your team, not left as tribal knowledge held by the vendor.
Some engagements continue as a standing pod. Others end with a clean handoff and a team that no longer needs us in the room.
Choosing a Databricks partner in the healthcare industry
The Databricks partner directory is led by firms that win on headcount, not healthcare depth: Accenture, Deloitte, Persistent, Perficient. Few of them have shipped a HIPAA-compliant pipeline or debugged an HL7 feed
What you need to evaluate
Healthcare and compliance fluency
Platform advice
Engagement model
FHIR/HL7 integration depth
Generalist SI engagement
Learned on your project, billed to your timeline
Incentivized to recommend the platform they sell
Fixed-scope statement of work, change orders for anything unplanned
General data engineering background, healthcare context built during the project
Light-it healthcare-native service
PHI, claims, and clinical terminologies as existing practice; HIPAA and SOC 2 built in from day one
Platform-honest: we also run Databricks' and Snowflake's healthcare implementations, so the recommendation is based on your data, not our backlog
Flexible based on each of our clients’ needs.
FHIR, HL7, X12, and NCPDP as default fluency
Where this shows up in practice
Healthcare AI/ML that reaches production
The gap between a promising pilot and a model running in a live clinical or payer workflow is where most healthcare AI projects stall. We build the MLOps, monitoring, and governance layer.
Real-world evidence for life sciences
Pharma and medtech teams building RWE studies need drug and device lifecycle data that holds up to regulatory scrutiny and moves fast on a launch timeline.
Patient lifecycle mapping
For multi-site provider groups, a patient's journey through raw clinical, claims, and device data needs to be traceable end to end, through to whatever metric ends up in a board deck.
Governance via Unity Catalog
For platform and infrastructure companies, lineage, access control, and audit-ready data are not optional. They are what a payer's security review and a HIPAA audit both ask for first.
Frequently Asked Questions
Learn everything about us and the way we work
Databricks healthcare consulting is specialized implementation work that turns clinical, claims, and device data into a governed Databricks lakehouse built for HIPAA and payer security review. It covers medallion architecture, Unity Catalog governance, FHIR and HL7 integration, and moving healthcare AI models from pilot into production.
It typically means restructuring clinical, claims, or device data into a Delta Lake medallion architecture, with Unity Catalog governing access and lineage, so the data is usable for analytics and AI while staying audit-ready for HIPAA and payer security reviews.
Databricks supports HIPAA-compliant configurations, but compliance depends on how the platform is implemented: encryption, access controls, audit logging, and a signed BAA all have to be configured correctly. A HIPAA-ready Databricks environment is a build decision, not a default setting.
It depends on data volume and existing pipeline complexity, but most engagements are scoped in 30/60 day increments, with the first migrated pipeline or integration typically live inside the first 60 days.
Both support HIPAA-compliant, governed healthcare data platforms. The right choice depends on your existing stack, your team's AI/ML roadmap, and your consumption model. A platform-honest partner should be able to make that recommendation before proposing either migration.
Cost depends on scope: a lakehouse health check, a single FHIR integration, and a full data warehouse-to-lakehouse migration are different engagements with different price points. Most clients start with a scoped 30/60/90-day plan rather than an open-ended retainer.
Yes. Light-it is an official Databricks partner in the Brickbuilder Partner Network. For a HIPAA-grade data project, partner status is table stakes, so the question that actually protects your timeline is who's building and whether they understand healthcare. That's where our depth is. We've spent years building software for regulated healthcare environments, and we run HIPAA-compliant AI products in production today, including CompliantChatGPT and ClinicFrame. Databricks is the platform we bring that experience to. Hold any partner to that same test: not the badge, but the healthcare and compliance track record behind it.
Our services
What services do we offer?
- End-to-End Product Development: including product strategy, UX/UI design, software development, and integrations. You can hire Light-it for the whole process, or just for one of this specific services.
- Staff Augmentation: we can augment your tech team with our talent.
- Emerging Technologies: we can help you discover and implement new technologies like Generative AI and VR to your product.
How personalized are your services?
- 100% personalized. At Light-it, we work as partners, and our goal will be to provide the best service according to your needs.
- Our technology and healthcare expertise will allow us to understand your business and help you make decisions in every aspect of your project, from product, to tech stack, we have you covered!
- Once we have a clear understanding of your needs, we will assemble a team that fits the requirements.
Can you provide references?
- Yes, we can provide reference contacts from previous clients during sales processes.
Do you just work in the healthcare industry?
- Yes. We currently work exclusively for the healthcare industry.
I have a project from another industry, can I contact you anyway?
- Contact us and we’ll refer you to one of our awesome partners.
Starting a project
How soon can Light-it start my project?
- We’ll set a timeline that fits your requirements. On our end, it can take up to two-weeks to put the team together.
Can we adjust the initial plan if my preferences (budget, time, features, etc.) change?
- Yes. We’re used to working with startups and know that needs and priorities change. If that happens, let’s talk and see how we can adapt to your new situation.
Do I have to buy the whole service from zero to launch, or can you start working on a project at any stage?
- We can start working on your project at any stage. Whether you are in need of product discovery, UX UI design, or development, we can help you!
I have already built my product with another vendor, but want to continue building it with you. Can you do it?
- Yes. We will likely start with a code review to assess the quality of the code, to then continue building on top of what you have.
Can you assist with defining the scope and requirements of my project?
- Of course! We’ll help you scope the project during the sales process, and the product strategy phase.
During the project
How do I know what the team is working on?
- We have a shared slack channel between our team and yours.
- You’ll have access to the Jira board with the progress for each sprint.
- You’re invited to the sprint plannings, reviews, and daily meetings, in case you want to join!
- You’ll have recurring meetings with an account manager.
Where is Light-it’s development team located? Who are they?
- Our HQ are in Montevideo, Uruguay (UTC-3) and we have an office in Buenos Aires, Argentina (UTC-3). Do you want to visit us in Uruguay? Check out our guide!
How do you ensure the quality of the deliverables?
- We involve Quality Engineers in all of our projects to test and ensure the best quality possible for all use cases. They conduct thorough testing and follow industry best practices to make sure our products work well and provide a great user experience.
After the project
Who will be the software code's final owner once the project is finished?
- Once the development of your software is finished, you’ll have complete ownership of the product.
Do you offer maintenance services after the product is released?
- Yes, we offer maintenance services if required.
What happens if I don't want to continue the partnership? Can I cancel later on?
- Yes. In the contracts you’ll have a set notice-period to cancel the project.
Finances & timeline
How do you define the price for my project?
- We work with Time and Materials contracts, meaning we will charge per hour per professional.
- We will estimate the number of hours based on your scope, during the sales process.
- If you need a different type of contract liked fixed price, please feel free to schedule a consultation.
- You can get a quote for your project here.
What is your minimum project size?
- We’re open to discuss projects from all sizes as long as we trust our client’s mission.
What happens if the scope isn't completed within the estimated timeframe, either finishing it before or after the expected deadline?
- At Light-it, we work with estimated timelines that allow flexibility for adjustments based on evolving needs or potential challenges. If the project progresses faster than expected, we can incorporate additional scope to enhance the initial plan. If it takes longer, we will maintain clear communication with the client to address any issues and collaboratively determine the focus for the next iteration, ensuring transparency and alignment throughout the process.
Legal
How do you assure digital health products' privacy, security and risk management?
- Our team follows strict HIPAA Guidelines to ensure privacy and security of PHI. Feel free to contact us to receive a copy of our guideline.
What legal and medical-legal compliance do you follow?
- Our team is trained in HIPAA Compliance, PIPAA Compliance, SOC2 Compliance, and ISO.
Do you sign BAAs?
- Yes, we can sign BAAs.
- We work on existing / legacy applications. Usually, we begin with a code audit to evaluate the code’s quality, and plan a development roadmap.
Do you have a HIPAA Policy in place?
- Yes. Our HIPAA Policy includes guidelines, background checks for all of our employees, trainings, and more. Contact us to learn more.
- We can also adapt our HIPAA Policy and proceses to our clients if needed.
Can Light-it sign my NDA instead of your standard NDA?
- Yes.
Collaborations
Do you collaborate with other technology or healthcare companies?
- Yes! We have partnership programs with third-party providers, products, and agency. Check our partnership site and contact us to collaborate.
Has light-it built their own products?
- Light-it's Innovation Lab has built several AI-powered products for healthcare, including CompliantChatGPT, Lumia, and a gamified CPR training kiosk, alongside client platforms like ClinicFrame. Each one tackles a specific problem in digital health, from clinical documentation to mental wellness to hands-on emergency training.ClinicFrame: an AI medical scribe that automates clinical documentation for healthcare providers.CompliantChatGPT: a medical AI copilot that supports healthcare teams with daily clinical tasks.Lumia: one of the first AI-powered meditation apps, delivering personalized mindfulness experiences through generative AI.Gamified CPR Kiosk: an interactive kiosk that links a training manikin to a real-time feedback screen to teach proper CPR technique.
