AI-supported behavioral therapy
Developed agentic intensive behavioral therapy for Medicare patients with Bonus Health.
Agentic AI | Medicare | Healthcare
Trusted by teams in healthcare, law and finance
Custom software for your operations.Built. Tested. Delivered.
Custom applications, AI agents and integrations from a senior team across software, data and machine learning. Start with a defined scope, fixed price and delivery plan.
- Defined scope
- Agreed project price
- Senior engineering
- Delivery plan
Teams we have built for
Selected work
Software built around real operations.
Selected engagements across healthcare, product analysis and private markets. See what Lokos contributed to each project.
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Cannabis product analysis
Built a platform and machine learning algorithms to analyze cannabis product composition.
Machine learning | Product analysis
Private market intelligence
Led development of systems that extract document engagement signals and use machine learning to analyze private market activity.
Machine learning | Private markets
The Lokos approach
Useful software, without unnecessary overhead.
Free your team from repetitive work.
Automate document intake, data entry, reporting, handoffs, and other routine workflows so your team can focus on decisions and customers.
Start seeing value sooner.
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.
Know what you're buying.
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
One approach, many industries.
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
What should your software handle next?
Start with a workflow, application or integration your team needs. We help define a first deliverable and the work required to build it.
01WorkflowsWorkflow automation
Connect intake, document processing, approvals and reporting so information moves between systems with fewer manual handoffs.
- Example deliverable
- An intake flow that collects documents, extracts information, and routes exceptions for review.
- A possible first project
- One intake workflow, agreed data fields and an exception review step.
Common problems Manual intake, scattered documents and slow approvals.
02ApplicationsCustom applications and portals
Build the internal tools, dashboards and client portals your team needs to manage its work.
- Example deliverable
- A case-management or operations portal tailored to your team's process.
- A possible first project
- One core workflow, defined user roles and the screens needed to support it.
Common problems Work managed across spreadsheets and disconnected tools.
03AI assistanceAI agents and document workflows
Build assistants that answer questions from approved sources, extract information from documents and support follow-up tasks, with review and escalation rules defined for the workflow.
- Example deliverable
- An AI assistant that prepares information for a person to verify.
- A possible first project
- One bounded assistant task, agreed information sources and human review criteria.
Common problems Routine questions, document review and follow-ups that consume staff time.
04Connected systemsIntegrations and ongoing development
Connect your existing tools and extend your software as your business changes, through additional projects or an agreed ongoing engagement.
- Example deliverable
- A workflow that keeps your CRM and internal tools synchronized.
- A possible first project
- One integration, agreed field mappings and checks for synchronization errors.
Common problems Duplicate data entry and systems that do not share information.
How it works
From your first request to your next improvement.
Use your client portal to submit requests, review proposals, pay invoices and follow progress. Our team handles scoping, engineering and delivery.
Put the working agreement in placeWe arrange a master services agreement for the relationship. Each project has its own statement of work.
Describe what you need
Define the first deliverable
Review and sign your proposal
Pay your invoice
Follow delivery
Request the next improvementReturn with another request as your needs evolve. We agree the scope, price and delivery plan before additional work begins.
Start with a clear scope and a fixed project price.
Why Lokos
An AI software factory, led by engineers.
We combine AI coding tools, reusable engineering tools and a structured delivery process. Projects move through scope, approval, implementation, testing and delivery, with senior engineers responsible for the result. You work directly with the team building your software and can return with the next improvement as your needs evolve.
- Software, data and machine learning expertise in one team.
- Defined deliverables and acceptance criteria before development.
- Engineer-reviewed code, testing and deployment.
About
About Us.
- Trained at
- NYU Center for Data Science
- Previously
- Podz → Spotify
- Countries
- VE, ES, UK, IL, CN, US
- Hobbies
- Martial arts, private aviation
- in/dlcasabuena
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.
Questions, answered
A clear path to your first project.
Do you charge by the hour?
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.
Can we start with one small project?
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.
How do you estimate the price?
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.
What happens if our requirements change?
We document changes and provide an updated or additional scope and price before beginning work outside the original agreement.
How do you use AI to build our software?
We use AI coding tools to support implementation, testing and investigation. Our engineers define the architecture, review the code and verify the system against the agreed requirements. AI also supports parts of our scoping and delivery process.
Can you work with existing software and data?
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.
How do payments work?
Payment milestones and any upfront payment are specified in each statement of work. Clients can review agreements and manage payments through the portal.
Do you offer ongoing development?
Yes. You can start additional projects 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
What is slowing your team down?
Tell us about a manual workflow, disconnected system or application you need. We'll discuss a practical first project and what we need to scope it.
Start with a conversation. Receive a proposal after we understand the work.
- maria@lokos.ai
- @lokos.ai
- 19 Dutch St, New York, NY 10038
