Custom software and AI.
Less manual work.

We build voice agents, custom language models, analytics tools and applications for operations teams. We use AI coding tools throughout development, with engineers responsible for the design, code review and testing.

See our work

30 minutes to discuss your workflow, assess fit, and agree on a next step.

Healthcare

Voice agents for patient check-ins and follow-up.

Lokos
Lokos AI

Selected client work

Software we have built for clients.

These projects include voice agents for patient care and machine learning for investment research.

Bonus Health

AI voice agents for obesity care

What we delivered

Built an AI voice agent for a venture-backed healthcare business, supporting obesity care for Medicare patients with a focus on making care delivery highly cost-effective.

Flagships

Machine learning for private market intelligence

What we delivered

Led development of systems that extract engagement signals from documents and apply machine learning to analyze private market activity and map those signals to capital allocation outcomes.

What we build

What could we automate for you?

Explore the services below. Each example is a project we could build around your business.

Applications built around your workflow
01 / 09

Custom solutions

Turn a manual process into software your team can use every day. We build applications that bring documents, images, audio and business rules into one workflow.

Example project

A document intake tool that reads incoming files, extracts the fields you need and routes exceptions to your team.

How it works

From first call to finished software.

Use the client portal to submit requests, review proposals, pay invoices and follow progress. You approve the scope and price before work starts. Our team handles development and sends updates as the project progresses.

  1. Book a call

    Tell us about the workflow you want to improve. We discuss fit, priorities and a practical starting point.

  2. Join the client portal

    Set up your organization and complete the master services agreement once, ready for this project and the next.

  3. Submit a request

    Describe what you need and attach context. Answer any clarifying questions in the portal so we can define the work.

  4. Sign and pay

    Review the scope, price and estimated delivery in the portal. Complete the emailed eSignature process, then pay your invoice through the portal.

  5. Follow your progress

    Our engineers build and test the software using AI coding tools. Follow your request in the portal and receive updates on milestones, delays and completion.

Know the scope before you commit. Each proposal sets out the deliverables, price and estimated timeline for your approval. Submit another request whenever you are ready.

About

About Us.

Diego Casabuena, founder of Lokos, wearing a tuxedo in a garden in front of a historic building
Est. 2024Lokos AI
Founder
Diego Casabuena
  • Trained atNYU Center for Data Science
  • PreviouslyPodz → Spotify
  • CountriesVE, ES, UK, IL, CN, US
  • HobbiesMartial arts, private aviation
The founder

Lokos was founded by Diego Casabuena. He earned a bachelor's degree from NYU with majors in Computer Science and Economics. At NYU, he was a Phi Beta Kappa member and Presidential Honors Scholar. He completed his honors thesis, “Speaking of BERT,” under Rob Fergus and trained as a researcher at the NYU Center for Data Science during the first wave of modern language model work.

Before Lokos, Diego led machine learning at Podz, where his fine-tuned podcast transcription models became the world's first audio feed and helped lead to Podz's acquisition by Spotify. Over three years at Spotify, he progressed to Senior Machine Learning Engineer and shipped podcast previews, the audio-visual translation system that translated Lex Fridman and others, and contributed to Spotify DJ and Auto-Mix.

His work spans speaker diarization, language modeling, clustering, drone calibration, large-scale ML engineering, and economic commentary. Before Lokos, he also co-founded technology companies in the United States and Spain, giving him experience applying technical research inside early-stage businesses.

The firm

A senior AI engineering team that ships production systems.

We work with your team to define the requirements, build the software and deploy it into your existing systems.

  • 01

    A small, multidisciplinary team

    Machine learning, software engineering and product experience in one team.

  • 02

    Embedded delivery

    We work directly with the people who will use the software.

  • 03

    End-to-end ownership

    Research, data, models, product, and deployment.

  • 04

    Built for production

    Code review, automated tests and checks before release.

How we work
No. 01
Start with a specific business problem.
We look for tasks that consume time, introduce errors or limit what your team can do. Together, we define what a useful result would look like.
No. 02
Build a first version. Improve it with feedback.
We deliver in stages so your team can try the software and help decide what to improve next.
No. 03
Work directly with the engineering team.
We explain the technical decisions, document the system and help your team use and maintain it.
Contact us

Tell us what problem you want to solve.

Book a 30-minute call to discuss what you need and whether we can help. You can also email us a brief. We respond within one business day.

Lower Manhattan
40.71°N · 74.00°W