Stop rentingthe wayyour business runs.
The first SaaS contract we replace funds the year of work behind it. By the end, you own the foundation that AI transformation actually runs on.
Exactly what
you want.
Not a generic SaaS template. We build around the workflows, approvals, data, and operating logic that make your business run.
All your data, one place.
Sales, finance, HR, projects, and learning stop living in separate tools. One system, one record, and for the first time the automation across your business actually works.
Yours to change.
A change that waits quarters on a vendor roadmap takes days when you own the code. The software keeps up with the business instead of holding it back.
SaaS replacement
From rented stack to owned platform.
We replace SaaS sprawl category by category with software that fits your business, connects your data, and belongs to you.
Today: rented stack
Annual run rate eliminated
$300,000
CRM
Salesforce + HubSpot
$7,800
ERP
NetSuite
$4,600
HRIS
Workday + Rippling
$5,200
Projects
Jira + Asana
$2,400
ATS
Greenhouse + Lever
$1,900
LMS
Docebo + Moodle
$1,300
Capacity
Float + Kantata
$1,100
Strategy
Ninety + Bloom Growth
$700
Tomorrow: owned platform
Your owned platform
$0
monthly license fees
Exactly what you want. Your workflows and operating logic, not a bloated template.
Zero license fees. Replace recurring seats with software you own.
Integrated data. Sales, finance, hiring, projects, and learning all talk.
AI workflows work. Cross-business automation gets practical once every system can talk.
Cost
Usability
Data
01
Open source primitives
Auth, search, queues, comments, and the pieces nobody should rebuild.
02
The Runpoint kit
Reusable modules for CRM, scorecards, pipelines, approvals, and reporting.
03
Your logic on top
The proprietary workflows that make your company run.
Our team has spent decades shipping at the intersection of strategy and engineering for companies like:
One
painful system replaced first
Start with a painful system and ship a working alternative
6+
systems mapped into a build sequence
Decide what stays, what goes, and what connects
Ongoing
improvements after launch
Model upgrades become product upgrades
Wedge.
We start where the ROI is visible: one paid contract, one painful workflow, one tool the team wishes worked differently. The first build is small enough to ship in weeks and concrete enough for the CFO to sign off on.
See it play out
AI transformation is new. A clear pattern is emerging in the companies winning at it.
We've run the same four-beat arc across tech due-diligence, creator-economy ad sales, veterinary care, HVAC, and FAA-regulated training. Different industries. None of the companies look alike. The arc does.
These are real quotes from real clients. We anonymize on the site until each one says yes to being named. Most are in the queue. References available now.
A global tech due-diligence advisor
A net-new internal tool for project staffing.
Their staffing used to live in a Slack channel — "looking for this purple unicorn." We scraped LinkedIn and resumes, built a richer matching engine, and folded it into the day.
Staffing search: hours to seconds. Win rates up.
Shipped fast, landed well, and earned the bona fides to take on a workflow-automation tool that produces real client deliverables — lowering cost-to-serve and contributing brownfield code straight into their codebases.
Transforming their software development lifecycle and product team.
Devs and QA shipping with Claude Code and automated testing. PR creation reduced from days to minutes at high accuracy.
“I don't think I've ever heard the term operator engineer, but I think it fits really well for what you guys do… I've found with you guys, I can just let you go to these meetings by yourselves. I don't even need to be there.”
An ad-sales firm for podcasters and YouTubers
A unified data hub, surfaced inside an RFP response.
Hundreds of Airtables and Sheets collapsed into one place, fed directly into the inbound RFP workflow the salespeople run every day.
Creator vetting that used to take dozens of individual emails — now done in one pass.
Hours saved per RFP. The salespeople felt the win the first day; the data plumbing got built underneath without anyone having to ask for it.
The full operating system for how they run the business.
Six modules running their day-to-day, with a Slack agent that runs RFPs end-to-end — not workflow automation anymore.
“We'd been trying to find a solution for that for years — this is perfect.”
A national operator of veterinary practices
One data platform across twenty-plus clinic systems.
Twenty-plus vendors that didn't talk to each other, funneled into a clean, governed layer the next tool could trust.
A single screen replaced the front-desk shuffle between five tabs.
The first tool that paid the foundation back. Report turnaround that used to take days, down to minutes.
Tools stacking on the same data layer, each one cheaper than the last.
Each new build sits on data the team already trusts, takes weeks instead of quarters, and works on day one.
“I can't even believe that we have something that will actually do the things that we've been wanting and dreaming about doing for a long time.”
A regional HVAC contractor
Replaced ServiceNow with software built for them.
Dispatch, work orders, and billing all in one tool, on top of a well-respected open-source CRM as the foundation. Fixed-fee project, clear-cut math.
$200K saved in the first 12 months. Hundreds of thousands more over five.
Dispatchers and field techs got their day back. The platform that was slowing the business down is now an asset on the balance sheet.
One multi-tenant platform, expanding region by region.
The custom mobile app and the AI workflows are already live in the day-to-day. Agentic dispatch and AR automation are queued behind them. Because the platform is theirs, every next thing is theirs too.
“This is the closest I've come to the conversation I was anticipating having… nobody else is leveraging AI like this.”
In flightAn FAA-regulated training provider
A 20,000-module migration from one LMS to another.
Boring on paper. Critical in practice. Either it ships, or the rest of the work doesn't get to happen.
Ten modules a week became forty. Hundreds of thousands saved.
A two-month task became a two-hour task. Same team, same deadline, four-times the throughput.
Building proprietary software on top of the new LMS.
The interesting work starts the day the migration finishes. AI-generated FAA-compliant training is the next bet queued behind it.
“You took a two-month task and turned it into a two-hour task.”
Three ways to replace the wrong software
Start with one system. Use the evidence to build the roadmap. Keep improving what ships.
Replacement sprint
Prove the model on one painful system
- • Audit SaaS spend and the internal workarounds around it
- • Pick one replacement with visible ROI and manageable risk
- • Set up the infrastructure needed to ship quickly
- • Build the first working system and put it in users' hands
A shipped replacement and a clearer path to the larger system
Operating system roadmap
Turn scattered tools into a build sequence
- • Map the current stack across data, workflows, and ownership
- • Decide which systems stay, which get replaced, and in what order
- • Identify the points where a custom tool becomes a company asset
- • Create the execution plan for the next several builds
A practical roadmap from SaaS sprawl to proprietary tooling
Managed improvement
Keep the systems getting better
- • Maintain and improve the tools we build
- • Add new model capabilities as they become useful
- • Train teams around the systems they actually use
- • Keep documentation, workflows, and adoption from going stale
Software that gets better as the models improve
Field Note: Code with Claude
Two days at Anthropic's developer conference. The brain left the box, memory got a substrate, and the agent decomposition framework finally has a name.
AI Cuts Hours Before It Rebalances Them
Alex Tabarrok's labor-hours framing is useful. The harder question is how those gains get distributed when firms are already using AI to shrink teams.
The Power of "Cloud" Agents
The most useful agent in my life is not a SaaS product. It is Hermes on an otherwise idle Mac mini, reachable from Slack, with enough access to do real work.
What We're Reading
Tweets that shaped how we think about AI, engineering, and the future of work.
See what your stack
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