Northstar
queuedSoftware studio
Quirkyops
Agentic AI, ML, cloud, and DevOps — software that feels inevitable.
Agentic AI/Machine learning/Cloud infrastructure/DevOps & CI/CD/Product engineering/Cybersecurity/
Agentic AI/Machine learning/Cloud infrastructure/DevOps & CI/CD/Product engineering/Cybersecurity/
Agentic AI/Machine learning/Cloud infrastructure/DevOps & CI/CD/Product engineering/Cybersecurity/
Agentic AI/Machine learning/Cloud infrastructure/DevOps & CI/CD/Product engineering/Cybersecurity/
Capabilities
Six pillars. One standard.
Agentic AI, machine learning, cloud, DevOps, product, and security — the systems businesses actually run on, not demos that die after the pitch.
Agentic AI
Autonomous agents, tool use, RAG pipelines, and LLM orchestration wired into real workflows.
Machine learning
Training, evaluation, and MLOps — from notebook to a model that survives production traffic.
DevOps & CI/CD
Pipelines, containers, IaC, and release automation that turn deploys into a non-event.
Cloud & platform
AWS, Azure, and Kubernetes platforms built for scale, observability, and sane cost.
Web, mobile & product
React, Next.js, Flutter, and .NET product engineering with design-grade interfaces.
Security & infrastructure
Threat modeling, hardening, system administration, and secure delivery end to end.
Full stack of work
Everything we actually do.
One studio covering the whole delivery chain — from an agent prototype on Monday to a hardened pipeline shipping it on Friday.
Agentic AI & LLM
- Autonomous agents
- Tool calling & function APIs
- RAG & vector search
- Prompt & eval pipelines
- LangChain / LlamaIndex
- OpenAI, Anthropic, local models
Machine learning
- TensorFlow & PyTorch
- Scikit-learn & Keras
- Computer vision
- NLP & speech
- Forecasting & analytics
- MLOps & model monitoring
DevOps & CI/CD
- GitHub Actions & GitLab CI
- Docker & Kubernetes
- Terraform & IaC
- Blue/green & canary releases
- Observability & alerting
- Cost and performance tuning
Cloud & data
- AWS, Azure, GCP
- Serverless & edge
- Postgres, Mongo, Redis
- ETL & data pipelines
- Event-driven architecture
- Backups & disaster recovery
Product engineering
- React & Next.js
- TypeScript & Node
- Flutter & mobile
- ASP.NET & C#
- Python & FastAPI
- Design systems & UX
Security & operations
- Threat modeling
- Penetration-informed hardening
- Kali, Ubuntu, Windows admin
- Identity & access control
- Secrets management
- Compliance-ready delivery
Agentic AI·LLM orchestration·MLOps·CI/CD·Kubernetes·Terraform·Cloud architecture·Cybersecurity·Data engineering·Mobile apps·Blockchain·Automation·
Agentic AI·LLM orchestration·MLOps·CI/CD·Kubernetes·Terraform·Cloud architecture·Cybersecurity·Data engineering·Mobile apps·Blockchain·Automation·
Agentic AI·LLM orchestration·MLOps·CI/CD·Kubernetes·Terraform·Cloud architecture·Cybersecurity·Data engineering·Mobile apps·Blockchain·Automation·
Agentic AI·LLM orchestration·MLOps·CI/CD·Kubernetes·Terraform·Cloud architecture·Cybersecurity·Data engineering·Mobile apps·Blockchain·Automation·
Process / selected work
From brief to battle-tested.
01 · Discover
02 · Build
03 · Harden
04 · Ship
01 · Agentic operations
Sentinel Mesh
Tool-using agents sit in the on-call loop: they read telemetry, draft runbooks, and update tickets. Writes stay behind human approval, so the system moves fast without going unsupervised.
Mean time to first response cut from 18 minutes to under 90 seconds.
02 · Cloud control
Atlas Plane
Infrastructure as code is the source of truth. Drift shows up as a ticket, not a surprise. Teams ship from the same map instead of five dashboards and a spreadsheet.
One control plane for clusters, cost, and deploys across AWS and Azure.
03 · Security hardening
Vaultline
We mapped the attack surface, closed the loud findings, and wired continuous scans into the pipeline. Security became a release gate, not a quarterly scramble.
Threat modeling and checks land in CI before they ever reach production.
04 · Product engineering
Northstar
The interface is the easy part. Northstar is the product sitting on hardened APIs, with access control and release discipline identical to the services behind it.
Web and mobile shipped on the same CI, identity, and observability stack.
✔ agents evaluated✔ CI/CD pipeline greenDeployed. Quietly reliable.Names are studio composites of the work we actually do — agents, cloud, security, and product — without exposing a client’s internal systems.
Delivery stack
One system, six layers.
The same stack we ship — product on agents, models, pipelines, cloud, and security. We pull it apart so you can read the architecture.
01 · Product
The surface people actually use.
Web, mobile, and APIs on the same identity and design system. The interface is the last mile of a stack that already ships.
Client notes
Reviews
Field reports, not a wall of five-star clones. Hover a line — the matching key on the tape lights.
Why Quirkyops
Precision over performance theater.
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Founded
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Focus areas
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Timezones
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Delivery modes
01
Agentic AI
Agents with a leash
We build agents that call tools, retrieve context, and act in real workflows — with evals and human gates so they cannot wander.
02
Hardening
Security as a default
03
Delivery
The whole stack, shipped
04
Studio
Remote, then everywhere
01 · Agentic AI
Agents with a leash
We build agents that call tools, retrieve context, and act in real workflows — with evals and human gates so they cannot wander.
02 · Hardening
Security as a default
Threat models, least privilege, and pipeline checks land before launch. Defense is part of the architecture, not a slide at the end.
03 · Delivery
The whole stack, shipped
Full-stack product, CI/CD, and production reliability as one system. If it cannot survive a Friday deploy, it is not done.
04 · Studio
Remote, then everywhere
A remote-first studio. We design systems meant to last years — not a demo that dies after the pitch.
Client
Product
Brief01
Agents02
Cloud03
Harden04
Ship05
Studio path
A brief becomes a system map.
Intake, constraints, and success criteria land as one operating picture — not a pile of tickets.
Agents take the loop.
Tool-using agents retrieve, draft, and route work. Writes wait on a human gate.
Cloud holds the load.
Kubernetes, IaC, and observability sit on one control plane so scale stays quiet.
Security is architecture.
Threat models, least privilege, and pipeline gates ship with the build — not after it.
One studio. Live software.
Product, agents, cloud, and defense lock into a single release — software that feels inevitable.
Questions, answered.
- Agentic AI and ML builds, product engineering, cloud/DevOps programs, and security hardening — as fixed-scope projects or ongoing retainers.
- Yes. We add agents, RAG, and LLM workflows to systems already in production, with evaluation and guardrails so they behave predictably.
- That's core work for us: pipelines, containers, infrastructure as code, observability, and release automation — including cleaning up pipelines you already have.
- Discovery usually lands in 1–2 weeks. Delivery windows depend on scope; we set clear milestones before any code ships.
- TypeScript/React and Next.js for products, Python and PyTorch for ML, AWS and Kubernetes for cloud, and pragmatic security tooling. We adapt to your stack when it makes sense.
- Yes. We are a remote-first studio and work with clients worldwide, syncing to your timezone when needed.
Contact
Start a project.
Have a brief, a half-formed idea, or a system that needs hardening? Tell us where it hurts.