For eight years, we've been building procurement infrastructure: understanding how properties work, what assets are needed, and how to connect the right products to the right situations. This foundation positioned us perfectly when AI capabilities matured in 2025.
We could not be prouder of what we've accomplished this year. Creating a feedback loop between user needs and product development accelerated our capabilities in how we build and what we develop.
We started this year with the goal to build better procurement tools for streamlining how our users handle purchasing in their supply chains. Through constant iteration on Smart Jobs, launching Buscar in response to data accessibility challenges, and tackling supply chain complexities that felt impossible but were made possible through data and automation, we built something different.
Our users across property operations kept bringing us new problems to solve. We kept solving them rapidly. The tech industry kept releasing new capabilities. We added them to our tech stack to give our users another edge in their workflows.
The results were significant. With Sibi, property operations teams cut replacement times by 48%, completed orders 53% faster. We're most excited about our integrations platform, which has become one of the fastest-growing ways to order. Our goal: iterate fast enough to stay ahead of operational problems users didn't realize they had.
What we discovered through continuous iteration
We realized that even the most sophisticated organizations in the property operations industry were constrained by workflows that demanded more manual work than necessary. Companies were modernizing workflows but not addressing the underlying inefficiencies (disconnected tools, manual coordination, constant context switching).
Our approach needed to be different. Rather than automating existing processes, we developed intelligent infrastructure. When procurement is seamless and intuitive, operation teams complete tasks without friction or confusion. Instead of reactive solutions, we built systems that anticipated and prevented operational friction.
Our users became active collaborators in this development process. Each implementation shined the light on more workflow gaps, manual processes that served no purpose, and assumptions about "industry standards" that needed to be challenged.
What we shipped (and learned from, and iterated on)
Smart Jobs: From browsing to buying, eliminating procurement research
We started Smart Jobs first to tackle paint procurement inefficiencies. Paint ordering was a mess of manual lookups: checking property square footage, researching coverage requirements, cross-referencing product specs. Teams were spending more time researching than actually ordering. Without good procurement tools, they ended up defaulting to whatever general contractors recommended, losing control of their own projects.
Once we saw it working for paint, we explored more ways to bring this contextual intelligence to other categories. First appliances, then HVAC.
HVAC isn't just complex, it's a compatibility nightmare. Regional compliance rules, utility connection requirements, sizing calculations that vary by property type, AHRI certification matching, heat kit compatibility matrices. One wrong specification and the entire system fails.
Automating HVAC has been widely avoided because the complexity feels unsolvable. We solved it because we had the procurement intelligence foundation: years of understanding property requirements, asset specifications, and vendor relationships that let us automate what others handle manually. We failed at this four times before getting it right. Each attempt taught us something new about the complexity, until we finally built something that actually solved the problem.
That's when we built Smart Jobs for HVAC. Instead of avoiding the complexity, we automated it. Smart Jobs handles the sizing calculations, certification matching, and compatibility verification that used to require manual work and specialized knowledge.
Through each iteration, we learned that procurement intelligence needed to understand multiple layers of context (property requirements, compliance parameters, asset history) and deliver precisely what teams needed at decision points.
Teams using Smart Jobs achieved 53% faster order completion, not through process acceleration, but through process elimination. The right information appeared automatically, removing friction rather than optimizing around it.
Before Smart Jobs, you needed to be a tradesman or category expert to pick configurations that would actually work. Now that expertise is built into the system, reducing orders needing support by half and revealing inefficiencies teams didn’t even realize existed.
Why this matters: Property managers, builders, and insurance providers can focus on decisions that matter while the system handles the details that used to consume time and create errors.
Explore Smart Jobs for your operations →
Buscar: Making decisions faster, not just data accessible
We recognized a common pattern: teams had extensive procurement data but struggled to make decisions quickly. Teams were spending hours building reports to answer simple questions, turning quick operational decisions into research projects.
What if answering operational questions took seconds instead of hours?
"Show me the top GE Appliance SKUs by market." "Which projects are running behind this week?" "What orders need warranty coverage?"
Buscar launched with a simple premise: operational decisions shouldn't require data analysis projects. The real benefit isn't talking to your data, it's making decisions faster. Instead of spending hours building reports to answer simple questions, you get answers instantly.
Quick decisions became the default, not data analysis projects.
See how Buscar works with your data →
Integrations: When users become co-developers
The most significant development this year emerged from our integration strategy. Watching companies like Mynd, Lessen, and Invitation Homes to name a few, take our integrations and build precisely what their operations required demonstrated the power of embedded procurement.
Take Mynd for example. Their teams were spending hours on manual ordering, jumping between systems, chasing down updates. They had great internal tools, but procurement lived completely outside their workflows.
So Mynd used our APIs and webhooks and integrated them into their system of work. When Mynd's system approves a replacement, the order is automatically placed on Sibi. When items are delivered, asset records update without intervention. When warranties are about to expire, the system flags coverage before unnecessary orders happen.
We proved that procurement could become completely invisible infrastructure, embedded right into how teams already work. See the complete Mynd case study →
Lessen is building their own solutions using our APIs, from AI-powered product recommendations to automated invoice reconciliation. Each integration solves different operational challenges.
Now we are building APIs, webhooks, and events for everything on Sibi. We're enabling our users to build custom solutions that work for their specific use cases using our building blocks.
Explore our integration capabilities →
What we're looking forward to
This year taught us that the most important products, features, and enhancements come from discovering them together with our users.
The foundation we built in 2025 of intelligent infrastructure, embedded workflows, and seamless automation is just the beginning. This foundation enables everything from cutting operational costs to improving resident and policy holder satisfaction.
Our goal for 2026 is to continue building the intelligence that works behind every property decision our users make, reducing decision fatigue while ensuring the right materials reach the right projects.
We're seeing users push toward automatic portfolio optimization, predictive maintenance, seamless material coordination, and proactive cost control. The direction for 2026 will be shaped by the challenges they bring us and the workflows they need to transform.
Thanks for building with us
Everything we've created and shipped this year came from users who pushed us beyond "that's just how procurement works." Teams who shared their messiest workflows, tested our roughest features, and helped us figure out what autonomous procurement actually needed to look like.
You didn't just use what we built. You helped us build it.
When planning for 2026, we're excited about the future of autonomous procurement and the role our platform will play in that transformation. Faster repairs, smoother maintenance, and seamless operations ultimately mean better experiences for residents and more efficient, scaling operations.
Want to continue the conversation? We’d love to hear about your operations and what you’re working on.
