Enterprise AI · SaaS · Platform modernization
PrimeObjects is a senior-only technology practice. For twenty years we've built enterprise platforms from scratch, modernized the ones that outgrew their architecture, and repositioned the ones the market moved past — inside Fortune 500 companies, as founders, and as CTOs of public companies. We write the strategy and the code.
Four ventures built · Four acquired · Two industry awards
Who our work reaches
A partial list of the enterprises whose teams and customers run on systems our principals designed, built, or modernized — directly or through the platforms we shipped.
We don't publish client names. Every organization above is described by what it is rather than who it is, because the work routinely touches security architecture, proprietary methodology, and pivots that hadn't been announced yet. Your engagement would get exactly the same discretion.
What we do
We're engaged when the answer isn't more people — it's better judgment applied fast. No junior bench, no discovery theatre, no hundred-slide deck that ends where the hard part begins.
Your product works. The market moved. We find the position you can actually win from where you already stand — the assets you're undervaluing, the segment that's underserved — and write the technical and commercial plan to get there. Then we help you execute it.
Legacy systems into cloud-native platforms — multi-tenancy, delivery pipelines, security posture, and the structural debt that quietly sets your release cadence. Incrementally, in production, without a big-bang rewrite or a two-quarter feature freeze.
Generative and agentic systems built for environments where a wrong answer is a liability. Retrieval grounded in your own sources, tool calls scoped to the caller's permissions, secrets that never reach a prompt, and an audit trail from every output back to its evidence.
New products from blank page to signed enterprise customer. We've done this as founders with our own capital at risk, which changes what you build first: the smallest system that proves someone will pay, not the biggest one that proves you can build.
Selected work
Names withheld, as always. The problems, the decisions, and the outcomes are exactly as they happened.
A decade of institutional knowledge sat in tickets, engineering docs, and the heads of people who were about to retire. Support and engineering teams burned their week re-answering questions the organization had already answered. Every off-the-shelf assistant they trialled died in security review, and correctly so — none could say where an answer came from or prove it hadn't leaked something it shouldn't have.
We built the version that passes. Every response traces to a source document. Every tool call runs inside the caller's own permissions rather than a shared service account. Credentials resolve server-side and never enter a prompt. Then we did the unglamorous half — integrating it into the systems where the work actually happens, so adoption didn't depend on anyone changing their habits.
The platform worked — that was the problem. Years of per-client customization had been absorbed into the core, and scale, compliance, and tenant-specific behavior had started fighting each other. Every new customer made the next one more expensive. The board wanted a rewrite; a rewrite would have meant eighteen months of shipping nothing.
We re-architected the tenancy model underneath a live system, modernized the delivery pipeline so releases stopped being events, and retired the structural debt in a sequence that kept revenue features flowing the entire time. The company was acquired with the platform as a demonstrated asset rather than a disclosed risk.
Market research forces a trade: deep qualitative interviews with thirty people, or a shallow survey of thirty thousand. Nobody got both, because depth was bounded by how many trained human interviewers you could put in a room.
We helped design and build a multi-tenant platform that removes the bound — an AI interviewer that probes, follows up, and adapts its line of questioning per respondent, running at survey scale. The engineering problem wasn't the model; it was making conversation quality hold steady across tenants, languages, and concurrency, and doing it inside the data-handling standards that global consumer brands audit for.
A public company with a competent mobile payments product in a category that had already been won — by banks on one side and platform giants on the other. Fighting for that ground meant losing slowly in full view of the market.
We led the technology and product pivot. The same core assets — the mobile client, the merchant relationships, the transaction backbone — turned out to be worth far more pointed at ordering, loyalty, and gamified engagement, where the incumbents weren't and the merchants were asking. Same engineering investment, defensible position.
The company sold inspections and billed by the hour, which capped it at the number of experts it could hire. But the expertise wasn't really in the hours — it was in the methodology underneath: the checklists, the data model, the way senior people made judgment calls that juniors couldn't.
We productized the methodology. Platform architecture, product strategy, pricing, and the first enterprise customers, inside two quarters — turning a linear headcount business into a recurring-revenue one, and turning the firm's best people from a bottleneck into leverage.
An engineering consultancy's most valuable asset was its accumulated understanding of how buildings age and fail — and it lived in spreadsheets, report archives, and the memory of senior engineers. Every project rebuilt it from scratch, and none of it compounded.
We designed and delivered a building asset-management platform that captured the firm's methodology as software, giving owners a live view of their portfolio's condition and capital planning. It opened a software-enabled service line the firm could sell alongside consulting — and changed the client relationship from project-by-project to continuous.
Engagements delivered by our principals in executive, founding, advisory, and consulting capacities across two decades. Figures are as reported by the companies involved.
How we work
We're not trying to become a line item on your budget forever. The goal of every engagement is a capability your own team can run without us.
We read the actual code, sit with your engineers, and talk to the customers who nearly churned. The constraint is almost never where the org thinks it is.
One written document: what to build, what to kill, what it costs, what it's worth, and what we'd be wrong about. Specific enough to disagree with.
We ship to production alongside your team — not a parallel skunkworks that gets thrown over a wall. Your engineers review our pull requests.
Architecture decisions written down, runbooks that work, and your people trained to extend it. If you still need us in a year, we designed it wrong.
Partners & platforms
Cloud-portable by default, model-agnostic by design. We architect so that a change of provider is a configuration decision — never a rewrite — because in this market the right model in eighteen months may not be the right one today.
In their words
Gary is one of those rare SaaS consultants and dev managers who knows how to construct a bridge across the chasm that often separates the technical team (that develops software) and the decision-making team (that seeks to optimize business requirements).
Gary is a very hard worker, has a deep technical understanding of software architecture, is a terrific mentor for developers and our customers love him. Simply put, he is probably the finest R&D executive I have ever had the pleasure to work with.
I had an incredible opportunity to work in an R&D team led by Gary. He is an experienced professional who can efficiently lead a team, design software architectures, and generate innovative solutions for a wide range of challenges. I am very grateful for the knowledge and wisdom he shared with me.
Who we are
PrimeObjects is led by Gary Zhang — enterprise AI and SaaS executive, CTO, and hands-on architect with more than twenty years across Fortune 500 organizations, publicly traded companies, and growth-stage ventures.
He has been the founding technical member of a consultancy that grew from five people to thirty-five, the co-builder of an award-winning enterprise SaaS company that raised $10 million in venture funding, and the CTO brought in when a public company needed to change direction. He still writes code, and he'll be in your first meeting and your last one.
Start here
The first conversation costs nothing and usually takes thirty minutes. Bring whatever you can't get a straight answer on — the product you want to build, the platform that's due for a rebuild, the AI pilot that won't clear security. You'll leave with a point of view, whether or not you hire us.
