Tenant-aware intelligence
AI uses the right customer context without crossing tenant boundaries.
SaaS application development
SaaS application development, built to scale — from MVP to enterprise-grade.
We design and build multi-tenant SaaS products that hold up as they grow: subscriptions, roles and permissions, tenancy, and the boring reliability that turns a demo into a business. Fast, and under your control.
The hard part of SaaS isn't the first version.
Anyone can ship a SaaS demo. The hard part is the architecture underneath it — multi-tenancy, billing, access control, uptime — the parts that decide whether the product can grow into a real business or collapses under its first hundred customers.
We build SaaS platforms with that future baked in from day one, so the version you launch and the version you scale are the same codebase, not a rewrite waiting to happen.
What we build.
Multi-tenant SaaS platforms
Tenancy, isolation, and roles designed in from the first commit.
Subscription & billing
Plans, metering, and payments wired to the systems you already use.
Admin & back-office tools
The internal software your team needs to run the product.
APIs & integrations
The connections that make your SaaS part of a customer's stack.
Analytics & reporting
Turn product usage into dashboards customers and your team trust.
MVP to enterprise-grade
Start lean, then harden for scale, security, and compliance.
AI & agent capabilities
Tenant-aware AI features and governed agent workflows designed around the same permissions and isolation as the rest of the product.
SaaS is a business model, not just an app.
We build the product so the business around it works — recurring revenue, retention, and a platform your customers can rely on.
Get to recurring revenue
Ship a product people pay for on a subscription, not a one-off project.
Scale without a rewrite
Launch and grow on one codebase built for multi-tenancy from the start.
Sell into bigger customers
Add the security, roles, and reliability enterprise buyers require.
Turn usage into insight
Instrument the product so you can see what's working and what isn't.
Build SaaS for the agentic era.
AI changes more than the feature list. It changes product architecture, permissions, usage economics, packaging, and what customers expect software to do for them.
We design those decisions into the platform instead of adding them after the SaaS model is already fixed.
Permission-aware context
Search, retrieval, and recommendations respect the same user and role permissions as the product itself.
Governed agent actions
Agents can use product tools and APIs only within explicit permissions, policies, and approval thresholds.
Usage economics
Track model consumption, latency, and cost so AI features can be priced and operated like a real SaaS capability.
Model independence
Keep application logic separate from a single model provider so the architecture can evolve as models do.
Evaluation & audit
Measure quality, record consequential actions, and know when human review is required.
AI should strengthen the SaaS business model, not quietly destroy its margins or controls.
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 — Greenbook
$500K
in pipeline after v1
We built Greenbook a multi-tenant compliance SaaS for agriculture that opened roughly $500K in pipeline shortly after v1 shipped.
Greenbook needed a compliance platform built as real multi-tenant SaaS — not a prototype. We designed and built the product; shortly after the first version shipped it had helped open around $500K in pipeline.
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.
Founders launching a SaaS product
Ship a first version that's built to grow, not a demo you'll have to rebuild.
Teams scaling past their MVP
Harden tenancy, billing, and reliability before growth exposes the cracks.
Companies moving upmarket
Add the security and controls enterprise buyers demand.
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 is SaaS application development?
SaaS application development is building software delivered as a subscription service that many customers use over the web — which means designing for multi-tenancy, billing, access control, and reliability from the start, not just the user-facing features.
Can you build our SaaS MVP and scale it later?
Yes. We build the MVP on an architecture that's ready for multi-tenancy and scale, so growing the product means adding to the same codebase rather than rewriting it.
How do you handle multi-tenancy and security?
Tenancy, isolation, and role-based access are designed in from the first commit and validated against an explicit definition of done — because retrofitting them later is where most SaaS products break.
Who owns the SaaS product 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.