Build
AI & ML applications
Purpose-built intelligent features—recommendation, ranking, vision, NLP, assistants, and automation—wired into your product roadmap and release cycle.
Design, training integration, evaluation, monitoring
AI · Machine learning · Web
For product and platform teams—globally distributed eng, clear procurement, and production SLAs.
We design and ship AI & ML applications—and the web experiences that surround them.
Cubicle Square is a software partner for teams that want real product outcomes: intelligent features, reliable web apps, APIs, and integrations—without the myth of a magic in-house foundation model.
- Custom AI/ML apps, copilots, and automation
- Modern web apps, dashboards, and public APIs
- Cloud deployment, observability, and ongoing support
Live service health
Inference API · p95 under target · errors trending down
Who we partner with
Product and platform teams that need shipping discipline—especially where AI features sit next to serious web and API surfaces.
Enterprise SaaSFintechHealth & life sciencesIndustrial & logisticsMedia & platforms
Data handling follows your policies—we sign NDAs, support VPC / private connectivity, and document retention in our agreements. Details: Privacy · Terms
Delivery posture
Built for teams that ship
Concrete ranges and expectations—not vanity metrics. Final numbers depend on scope; we baseline and track together.
2–8 wk
Typical discovery → first vertical slice (scope-dependent)
99.9%+
Target posture for APIs we operate with clients (design + SLO)
AWS · GCP · Azure
Where we deploy most often—plus hybrid when policy requires
Partner-led
Your roadmap drives priority; we bring senior ICs and clear handoffs
Services
What we build with you
We are not a hosted model provider. We are the team that helps you choose the right tools—open-source, cloud APIs, or your vendors—and turn them into software your users feel.
Ship
Web apps & APIs
Responsive web platforms, internal tools, customer dashboards, and well-documented APIs your partners and clients can trust.
Performance, security, accessibility, scalability
Operate
Integration & lifecycle
Glue work that makes ML real: data connectors, batch and real-time pipelines, CI/CD, cloud infra, observability, and runbooks.
AWS/GCP/Azure, Kubernetes, observability stacks
How we work
From clarity to production
Engagement models adapt—fixed milestones, embedded pods, or advisory—but the spine is the same: transparent trade-offs, measurable slices, and systems you can run.
Align & scope
Workshops with product and engineering to define outcomes, constraints, data reality, and success metrics.
Build & integrate
Iterative releases with demos your stakeholders can touch—models, APIs, web surfaces, observability hooks.
Launch & operate
Rollout plans, monitoring, tuning, documentation, and optional ongoing support until your team owns the runway.
Why teams bring us in
◇
Product-minded engineering
Clear milestones, pragmatic trade-offs, and demos you can put in front of stakeholders—not endless research loops.
◎
Secure, modern web
Authentication, APIs, and frontends built with patterns that hold up under real traffic and audits.
◈
ML that fits your reality
We integrate the models and services that match your budget and latency—without pretending one vendor solves everything.
✦
Partnership through launch
We stay hands-on through rollout: monitoring, tuning, handoffs, and optional ongoing support.
From workshops to production
Tell us where you are—idea, prototype, or scaling pain—and we shape an engagement around outcomes: clearer UX, faster releases, measurable quality.
Product
Camo ERP
Unified institution management system for attendance, outpasses, and exams across mobile and web.
Visit product →Product
Cubicle Square
Mobile-first library and coworking seat booking platform with partner tools for bookings, analytics, and payments.
Visit product →Approach
AI & web delivery, end to end
Discovery and architecture workshops, iterative builds, hardening for production, and documentation your team can own. No proprietary LLM subscription required—just engineering aligned with your roadmap.
FAQ
Common questions
Straight answers before the first call—then we go deeper on your stack and constraints.
Do you train a proprietary foundation model for us?
Usually no. We integrate the models and services that fit your latency, budget, and compliance story—fine-tuning or RAG when it makes sense—without locking you into a magic black box.
What does a typical first engagement look like?
A focused discovery period, a thin vertical slice to production or pre-prod, then expansion. Timelines vary; we quote in weeks, not vague quarters.
Who owns IP and models after delivery?
Artifacts we build for you—code, infra, documented configs—transfer per your agreement. Third-party licenses (cloud, model APIs) remain with their vendors; we spell this out before kickoff.
Can you work with our security and procurement process?
Yes. We expect reviews, VPC constraints, and data-handling questionnaires. Tell us early so architecture and contracts line up.
Where are you located? Do you work remotely?
We operate as a distributed engineering partner and align on time zones and on-site needs per project.
Still unsure? Contact us with your timeline and scope.