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  • Bonus Health
  • Infusense
  • Flagships

Trusted by teams in healthcare, law and finance

Turn manual work into working software.Faster.

Custom apps, AI agents and automations, built by senior engineers.

Cloud options
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Minutes to set up your account
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Week turnaround for your first project
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Owned by you on delivery
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Teams we have built for

About

About Us.

Diego Casabuena, founder of Lokos, wearing a tuxedo in a garden in front of a historic building
Est. 2024Lokos AI
Trained at
NYU Center for Data Science
Previously
Podz → Spotify
Countries
VE, ES, UK, IL, CN, US
Hobbies
Martial arts, private aviation

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.

Read recent observations from Diego and the Lokos team.

Selected work

Built for real business workflows.

Examples of software and AI systems we've delivered. Each engagement starts with the problem, then the appropriate technology.

Swipe to see more

  • Bonus Health

    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

  • Infusense

    Cannabis product analysis

    Built a platform and machine learning algorithms for Infusense to analyze cannabis product composition and support safety in the industry.

    Machine learning | Product analysis

  • Flagships

    Private market intelligence

    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

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

The tools your business actually needs.

From a single repetitive task to a full internal platform, we build software around how your business operates.

  • 01WorkflowsBusiness process automation

    Replace manual intake, document handling, data reconciliation, approvals, and reporting with connected workflows.

    Example deliverable
    An intake flow that collects documents, extracts information, and routes exceptions for review.
    What the first statement of work could include
    One intake workflow, agreed data fields and an exception review step.

    Common problems Manual intake, scattered documents and slow approvals.

  • 02ApplicationsCustom applications & portals

    Build the dashboards, client portals, internal tools, and operational software that off-the-shelf products don't quite cover.

    Example deliverable
    A case-management or operations portal tailored to your team's process.
    What the first statement of work could include
    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 intelligent workflows

    Use AI where it genuinely helps: answering routine questions, working with documents, supporting follow-ups, and assisting staff in reviewing information.

    Example deliverable
    An AI assistant that prepares information for a person to verify.
    What the first statement of work could include
    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 continuous improvements

    Connect existing systems, eliminate duplicate work, and keep improving software without restarting the vendor selection process every time.

    Example deliverable
    A workflow that keeps your CRM and internal tools synchronized.
    What the first statement of work could include
    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

One portal, from request to delivery.

Everything happens in your client portal: you describe what you need, approve a scoped and priced statement of work, pay, and follow delivery.

Sign an MSA onceOne master services agreement covers every project after it.
  1. Request software

  2. Add clarifications

  3. Receive and eSign your SOW

  4. Pay your invoice

  5. Follow project status

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.

Already a client? Open your portal

Why Lokos

Modern tools. Experienced engineering. Accountable delivery.

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.

  • Engineering ownership, not just generated code.
  • Build around the workflow, not around a fashionable technology.
  • Start small, validate, and extend what works.

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.

Is everything built entirely by AI?

No. We use AI-powered development tools to improve efficiency, while our engineers remain responsible for technical decisions, code review, testing, and delivery.

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 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

What would you automate first?

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.

Email us your brief

A short conversation to assess fit. No obligation to start a project.