Est. 1994 · Rebuilt 2024
Built to last.
Delivered at speed.

Thirty years of enterprise software development, rebuilt for the AI era.

Primero Systems delivers production-grade software in weeks, not months, using a defined, AI-first methodology and a refined enterprise foundation. We built an entire AI-native platform with it, for ourselves, as proof.

30+ yrs
Enterprise software delivered
Days
To a working prototype
Weeks
To production-ready
1,000+ hrs
Saved per engagement by PSX
Who this is for

For the leaders who've been burned by scope creep and refuse to be again.

A good fit

  • +CTOs, VPs of Engineering, COOs, and technical founders who own the delivery risk.
  • +Organizations whose last implementation ran over budget, over schedule, or both.
  • +Systems that have to be running and trusted ten years from now.
  • +Teams who've learned that the cheapest bid costs the most in the end.
  • +Buyers who need it fast and can't afford to rebuild it in three years.

Not for us

  • ×Lowest-cost-wins procurement.
  • ×One-off throwaway builds.
  • ×Small projects without a strategic purpose.
  • ×Buyers shopping for an AI demo, not an outcome.
  • ×Teams looking for a vendor, not a partner.

Find your starting point

Starting from zero

No internal technology team. You need a partner who owns the full engagement — architecture, implementation, DevOps, and deployment — from the first line of code to production.

Augmenting your team

You have engineers. You need senior firepower in specific gaps — architecture, design, code implementation, DevOps, or QA. We step in where your team needs depth, and step back when the work is done.

Rescuing a struggling engagement

You've been through one or two vendors. Scope, schedule, and budget are the wounds. You need a firm that treats the functional description as a contract and has the methodology to honor it.

The problem

Custom enterprise software has always been slow, opaque, and hard to trust. AI changed what's possible. Most firms haven't.

Half the industry now claims to be "AI-first." The phrase has been drained of meaning by firms bolting Copilot onto a workflow that hasn't materially changed since 2015.

We rebuilt the process — not just the tooling. From first prototype through production deployment, AI is native at every layer of how Primero delivers.

If any of these describe you, you're in the right place.

How we work

The Rapid Delivery Framework.

A defined, four-stage methodology that compresses months of traditional delivery into weeks of prototype-driven, spec-anchored, AI-assisted execution.

01

Rapid Prototype

Engagements begin with working software, not a document.

02

Functional Description

A precise, plain-language contract between client intent and engineering execution.

03

Spec-Driven Development

The FD becomes a granular task spec — auditable, AI-accelerated, validated against intent.

04

AI-Assisted QA

Quality is continuous, not a phase — tests generated alongside features.

The foundation — PSX

Most firms start at zero. You won't.

Hardened, production-grade enterprise primitives — encoded from 30 years of common requirements. Already built. Already battle-tested.

Proof of methodology

We didn't write a whitepaper.
We built the platform.

Kiluma is an AI-native business operating platform: CRM, content, tasks, email, marketing, forms, automation, reporting — all unified by a shared data layer and an AI orchestration system called theConductor.

We built it ourselves, with our own team, using the Rapid Delivery Framework end to end. It's a live, production demonstration of what Primero can do — at full scale, with real users, on the same methodology we deploy for clients.

No competitor can say the equivalent.

SEE WHAT WE BUILT
conductor.kiluma
11
Apps
1
Data layer
Conductor
Range

Eight domains.
One methodology.

The Rapid Delivery Framework isn't a sector specialty. It's how we build, full stop.

Accounting

General-ledger and financial systems built for regulated finance demands. Reconciled, auditable, and still closing books decades after delivery.

Inventory Control

Real-time stock, movement, and fulfillment systems for operations where a miscount is a missed shipment and a missed shipment is a lost customer.

Laboratory Information Management Systems

LIMS platforms for diagnostic and medication-monitoring labs. Uptime isn't an SLA metric here. It's a patient outcome.

Quality Assurance

QC monitoring systems for diagnostics and life-sciences operations. A missed signal isn't a bug report — it's a recalled batch and a regulatory event.

Content Management

Purpose-built CMS platforms for organizations whose content is the product — structured, governed, and built to outlast three generations of front-end fashion.

Quality Management

QMS platforms encoding the procedures, audits, and CAPA workflows regulated manufacturers are inspected against. When the auditor arrives, the system is the evidence.

EdTech

Learning and credentialing platforms serving instructors, learners, and administrators on a single data layer. Built for scale, and for the compliance tail that never stops growing.

AI-Native Operations

Kiluma — eleven apps, one data layer, one Conductor. Built end-to-end on the Rapid Delivery Framework by our own team. We didn't just design the methodology. We live in it.

Durability in practice

Software that survives decades.

Velocity is the new story. Durability is the one a CTO can trust when the system has to outlive everyone who built it.

Travel Franchise

Still running at the largest travel-agency franchisor in North America — 30 years later.

Survived multiple acquisitions. Each one became an opportunity to prove the platform's value to a new set of stakeholders. The software evolved. The relationship held.

What it proves

Built to grow with the business — not to be replaced by it.

Start here

Let's start with a prototype.

The first engagement is intentionally low commitment and high signal. We build working software you can react to before anyone signs anything resembling an SOW. The fastest way to know if we're the right firm is to see us deliver.

Inquiry