Model gateways
Route model access through a controlled layer rather than scattering provider logic across the application.
Cloud, platform & backend engineering
Cloud, platform and backend engineering built for scale, security, and intelligent products.
We build the APIs, services, data infrastructure, and cloud systems your product runs on — including the foundations behind production AI and agentic workflows. Engineered for load, secured for real data, and operated with the discipline that keeps critical software up.
The backend is where products keep their promises.
Every product feature is a promise, and the backend is where those promises are kept or broken — under load, at scale, with real data and real consequences. Good backend engineering is invisible when it works and impossible to ignore when it doesn't.
We design and build APIs, services, data pipelines, and cloud infrastructure that scale cleanly and stay secure — including regulated, compliance-heavy environments where the cost of getting it wrong is high.
What we build.
APIs & SDKs
Clean, documented interfaces other products and teams build on.
Scalable backends
Services engineered for load, resilience, and uptime.
Cloud infrastructure
Cloud-native architecture on AWS, GCP, or Azure.
Data pipelines
Move and transform data reliably at scale.
Secure & compliant systems
HIPAA and other regulated environments, done properly.
Serverless & edge
Modern, cost-efficient architectures where they fit.
AI platform infrastructure
Model access, retrieval, tools, evaluation, observability, and controls behind production AI systems.
Production AI is an infrastructure problem.
A model API is easy to call. A production system needs far more around it: context, permissions, tools, evaluation, monitoring, cost controls, failure handling, and an audit trail.
We engineer that infrastructure as part of the platform, not as an experiment sitting beside it.
Context & retrieval
Deliver the right structured and unstructured information to the model with permissions intact.
Agent tools
Expose APIs and business capabilities as bounded tools agents can use safely.
Identity & permissions
Carry user identity and authorization through the agent and into every downstream system it touches.
Evaluation & observability
Measure output quality, tool use, failures, latency, and model behaviour in production.
Cost & performance
Track inference cost, caching, routing, and latency as first-class platform concerns.
Human control
Route consequential actions to approval queues and escalation paths when the workflow requires it.
Audit & rollback
Record actions, preserve version context, and make it possible to stop or reverse behaviour safely.
Identity and authorization must travel with the action.
- User
- Agent
- Tool
- Enterprise system
Infrastructure is a business risk you can engineer down.
Downtime, breaches, and systems that can't scale are business problems before they're technical ones. We build the backend so those risks stay small.
Scale without falling over
Architecture that grows with demand instead of buckling under it.
Protect real data
Security and compliance built in, including HIPAA-grade environments.
Become a platform others build on
APIs and SDKs that turn your product into infrastructure.
Cut cloud waste
Right-sized, modern architecture that controls cost as you grow.
Fast doesn't have to mean unpredictable.
The reason software runs late and over budget is rarely the code — it's the chaos around it. We plan before we build, run the work as Missions you can watch, validate every change against an explicit definition of done, and review it before it ships. You get the speed of AI with the discipline that keeps software maintainable for years.
Proven on software companies actually depend on.
14 years building production software for
Proof — Human API
We built Human API a scalable, HIPAA-compliant health-data platform — the API and SDKs other health products build on.
Human API needed to move sensitive health data through a clean, reliable interface at scale. We built the HIPAA-compliant API platform and SDKs across multiple client platforms — the backend layer other health products depend on to connect to health data safely.
A 14-year playbook, enforced by software.
Across more than 200 products, the difference between projects that ship clean and projects that spiral came down to a few disciplines. We turned them into how Cortex runs every build — so they happen every time, not just when someone remembers.
Plan in Missions
Every build starts as a plan a human approves — scope, definition of done, and boundaries — before a line of code is written.
Trace every commit
Each change is tied back to the plan it came from, so you can always see what was built, why, and by whom.
Test the contract
Work is validated against an explicit definition of done, not a demo — proven correct before it ever ships.
From COBOL to serverless.
We build on a modern stack and we read the old one before we replace it. Over a decade across enterprises means we're as comfortable in a legacy monolith as we are on the edge.
Modern stack
- React & TypeScript
- Node.js, Python & Go
- Serverless & edge
- Cloud-native (AWS / GCP / Azure)
- Postgres & modern data stores
- AI / LLM application layers
Legacy we speak
- COBOL & mainframe logic
- Java & .NET monoliths
- Legacy relational databases
- On-prem & regulated environments
- Undocumented internal APIs
- Systems no one wants to touch
Who it's for.
Products becoming a platform
Expose clean APIs and SDKs so others can build on what you've built.
Teams hitting a scaling wall
Re-architect a backend that can't keep up with growth.
Regulated & data-sensitive businesses
Build backends that meet HIPAA and other compliance bars from the start.
Not a typical software company.
Forward-deployed engineers, not juniors
Every engagement is led by engineers who've shipped production software for years.
AI speed, with the controls
Validation and human review are built into the process, not bolted on at the end.
Fully yours, fully accountable
Full IP assignment, an NDA from the first conversation, and an audit trail that outlives the project.
Questions, answered.
What does cloud and backend development include?
It covers the parts of your product users don't see directly: APIs, services, databases, data pipelines, and the cloud infrastructure they run on — engineered for scale, security, and uptime.
Can you build HIPAA-compliant or regulated systems?
Yes. We've built HIPAA-compliant health-data infrastructure, and we design regulated systems so compliance is engineered in and provable, not bolted on afterward.
Do you work with our existing cloud and stack?
Yes. We work across AWS, GCP, and Azure and integrate with the systems and services you already run, rather than forcing a rebuild.
Who owns the infrastructure and code you build?
You do, completely. Every engagement includes full IP assignment and is covered by an NDA from the first conversation.
Start with a clear-eyed look at your build.
Whether you're starting fresh or improving something that exists, begin with a free Agent Readiness Assessment — a concrete read on where AI-assisted delivery is safe, where it's risky, and where the leverage is. The report is yours either way.
This service is available as a Cortex Pod — scoped to an outcome, governed end to end.