AI Engineering & Consulting
We build AI systems that
actually ship to production.
Octaforce Digital applies senior engineering expertise to AI — federated learning, secure ML infrastructure, and AI-augmented engineering — for teams who need hands-on expertise, not a deck. Backed by experience leading mobile and platform engineering at Goldman Sachs and security review at HackerOne.
01 · AI Services
AI engineering, end to end
We focus on AI — and bring Cybersecurity, Mobile, Backend and Infrastructure expertise to make sure what we build is secure, scalable, and actually ships.
Federated & Privacy-Preserving ML
Multi-party model training where raw data never leaves the client — fraud detection, risk scoring, outbreak detection, built on Flock.io and custom FL pipelines.
Applied AI & ML Systems
From prototype to production: model training, evaluation, serving, and the APIs and pipelines that keep them running reliably.
AI-Augmented Engineering
Integrating AI tooling into engineering workflows to raise code quality and velocity — proven across Mobile, Web, Backend and Data Science teams.
Cybersecurity
Security reviews and hardening for AI and backend systems — informed by hands-on code review work at HackerOne.
Mobile
Native iOS & Android, Kotlin Multiplatform — for AI products that need a real client experience.
Backend & Infrastructure
APIs, Kubernetes, CI/CD — the platform an AI system needs to run reliably at scale.
02 · Approach
Senior engineering, not a slide deck
Privacy by design
Federated learning and on-chain infrastructure so sensitive data never has to be centralized to get value from it.
Production-first
We build for the system that has to run next year, not the demo that has to run tomorrow — clean architecture, tested, monitored.
Security-reviewed
Every system gets the same scrutiny we apply reviewing code for global engineering teams at HackerOne.
Hands-on, senior-led
No account managers relaying to junior teams — you work directly with senior engineering, end to end.
03 · Work
Open-source AI projects
Federated learning, on-chain protocols and privacy-preserving AI — built and published on GitHub.
FIFN
Decentralized fraud detection — small insurers collaboratively train a shared model on private claims data via Flock.io's on-chain federated learning.
View project ↗flock-health-cluster
Federated disease cluster detection — privacy-preserving outbreak alerts without moving patient data between providers.
View project ↗EquiLearn
Federated learning for student risk prediction, built with Flock SDK, scikit-learn and Flask.
View project ↗sui-market-forecast
AI-assisted prediction market protocol on SUI, with on-chain trading powered by DeepBook.
View project ↗04 · Contact
Let's build your AI system
Open for AI engineering engagements — federated learning, applied ML, AI infrastructure and AI-augmented engineering reviews.