Agentic IBT for Medicare
Built agentic IBT for Bonus Health to help improve the life expectancy of over 20 million Americans.
Agentic AI | Medicare | Healthcare
Teams we have built for
About
The founder
Diego Casabuena founded Lokos after leading machine learning at Podz and building AI products at Spotify. A published researcher and holder of granted U.S. patents, he brings experience across AI research, early-stage businesses, and large-scale production systems.
At Podz, Diego developed fine-tuned podcast transcription models that powered its audio discovery feed before Spotify acquired the company. Over three years at Spotify, he progressed to Senior Machine Learning Engineer. He shipped podcast previews and AI voice translation for podcasters including Lex Fridman, and contributed to Spotify DJ and Automix.
Diego earned his bachelor’s degree from NYU, majoring in Computer Science and Economics, and was a Phi Beta Kappa member and Presidential Honors Scholar. He conducted honors research under Rob Fergus and trained as a researcher at the NYU Center for Data Science.
His technical work spans language modeling, speaker diarization, clustering, drone calibration, and large-scale machine learning engineering. He also co-founded technology companies in the United States and Spain.
Selected work
Examples of software and AI systems we've delivered. Each engagement starts with the problem, then the appropriate technology.
Swipe to see more
Built agentic IBT for Bonus Health to help improve the life expectancy of over 20 million Americans.
Agentic AI | Medicare | Healthcare
Built a platform and machine learning algorithms for Infusense to analyze cannabis product composition and support safety in the industry.
Machine learning | Product analysis
Built systems for Flagships that use machine learning to analyze document engagement and connect private market signals to capital allocation outcomes.
Machine learning | Private markets
The Lokos approach
Automate document intake, data entry, reporting, handoffs, and other routine workflows so your team can focus on decisions and customers.
Begin with a useful first deliverable, put it in your team's hands, and improve it in focused iterations rather than waiting for one enormous launch.
Review the deliverables, price, and estimated timeline before work begins. When you need something new, request and approve the next scope separately.
Where it applies
Healthcare
Voice agents for patient check-ins and follow-up.
Law
Document search and legal research tools.
Finance
Financial analysis and automated reporting.
Logistics
Demand forecasts and shipment tracking.
Crypto
Transaction analysis and exception monitoring.
Industrial automation
Quality checks using camera and sensor data.
Space
Telemetry analysis and anomaly detection.
Cannabis
Product composition analysis and quality checks.
What we build
From a single repetitive task to a full internal platform, we build software around how your business operates.
Replace manual intake, document handling, data reconciliation, approvals, and reporting with connected workflows.
Common problems Manual intake, scattered documents and slow approvals.
Build the dashboards, client portals, internal tools, and operational software that off-the-shelf products don't quite cover.
Common problems Work managed across spreadsheets and disconnected tools.
Use AI where it genuinely helps: answering routine questions, working with documents, supporting follow-ups, and assisting staff in reviewing information.
Common problems Routine questions, document review and follow-ups that consume staff time.
Connect existing systems, eliminate duplicate work, and keep improving software without restarting the vendor selection process every time.
Common problems Duplicate data entry and systems that do not share information.
How it works
Everything happens in your client portal: you describe what you need, approve a scoped and priced statement of work, pay, and follow delivery.
Repeat for your next software requestEach request becomes its own scoped, priced project under the same agreement.
Start with a clear scope and a fixed project price.
Why Lokos
AI changes the economics of software development, but useful software still requires good judgment. We combine AI-assisted development with experienced engineers responsible for architecture, review, testing, and delivery. The result is a practical way to build what your business needs, one defined project at a time.
Questions, answered
Yes. Both fixed-price projects and hourly engagements work well. Initial scopes are always fixed cost, with agreed deliverables, a project fee, and acceptance criteria before work begins. For ongoing work, we agree whether a new fixed-price scope or hourly pricing best fits your needs. Existing hourly engagements remain available.
Yes. We often recommend a focused first deliverable, then expanding after your team has reviewed the result. We'll help define a sensible starting point.
We review what the software needs to do, its integrations, risks, and acceptance criteria. Then we propose a defined scope, price, and estimated timeline for your approval.
We document changes and provide an updated or additional scope and price before beginning work outside the original agreement.
No. We use AI-powered development tools to improve efficiency, while our engineers remain responsible for technical decisions, code review, testing, and delivery.
Often, yes. We can evaluate integrations with your current tools as part of scoping. Feasibility and any third-party costs are confirmed before they are included in a proposal.
Payment milestones and any upfront payment are specified in each statement of work. Clients can review agreements and manage payments through the portal.
Yes. You can submit additional requests as your needs evolve. For clients with regular development needs, we can also discuss a recurring development arrangement with clearly defined scope and capacity.
Contact us
Tell us where your team is losing time. We'll discuss a practical first project and outline the next step toward a scoped, priced proposal.
A short conversation to assess fit. No obligation to start a project.
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