Technology scales.
Relationships win.
We help companies harness AI and modern tools by combining adaptive technology with an embedded partnership. We handle the stack so you can focus on what humans do best — connect.
It's time to redefine.
Redefining SaaS
The technology landscape is shifting fast and keeping up requires teamwork. AI platforms, enterprise agents, connectors, automation tools — they're powerful, but they don't implement themselves.
For enterprise AI pilots to succeed and deliver ROI requires a strategic approach to the integration, training, and ongoing adaptation. The world's biggest AI companies — Anthropic, OpenAI, Google — have all concluded the same thing: they need integrated partnerships to reach the finish line.
We are your partner throughout that effort.
Success today isn't about which platform you pick. It's about who helps you make it actually work.
Redefining Partnership
The companies delivering the best outcomes aren't the ones with the most features or the biggest AI model. They're the ones most deeply embedded in their clients' operations — understanding workflows, anticipating needs, and staying proactive.
We don't sell software and walk away. We don't fly in for a consulting engagement and leave a PowerPoint. We embed with your team, connect your tools, configure AI to your operations, train your people, and keep adapting as your business evolves.
The partnership isn't a bonus — it's the product.
A New Approach
From fragmented to orchestrated.
Most companies today are stuck between rigid SaaS platforms that don't fit and AI tools that are powerful but disconnected. They're paying for software licenses, implementation consultants, support contracts, and training — all from different vendors who don't talk to each other.
Adaptive growth.
Our approach replaces the fragmented vendor model with one partner who handles everything: assessing your current tech stack, connecting AI and modern tools to your operations, configuring them for your specific workflows, training your team, and continuously adapting as your business evolves.
Unlike traditional vendors who ship a product and walk away, or consultants who deliver a strategy and disappear, we stay in the room and keep building.
What We're NOT
A SaaS platform. A Big 4 consultancy. A staffing agency. A one-time implementation shop.
Platform & Partner
A new layer is forming in the enterprise technology stack — between the AI platforms above and the systems of record below. We operate in that layer.
AI Platforms (Top Layer)
Claude, OpenAI, Gemini — The intelligence layer. These provide reasoning, synthesis, and task execution.
Adaptive Integration (Partnership Layer)
We assess, connect, configure, train, and adapt. This is where technology meets your business.
Systems of Record (Bottom Layer)
Procore, Sage, Workday, QuickBooks, etc. — Your existing tools that store data, enforce rules, and manage compliance.
AI platforms provide the brain. Your existing software provides the body. We're the nervous system that makes them work together — and the partner who keeps them evolving.
The Partnership Factor
Establish regular, immersive, effective communication protocols
Listen, translate and document client needs
Prioritize development of custom software with client
The Result
Build it fast enough that it compounds before the competition figures out what's happening.
The Adaptive Model
An adaptive model built to scale with you.
Core Platform Access
Full access to the platform, all current modules, ongoing updates and maintenance. Always included.
Monthly Development Allocation
Dedicated engineering hours to build, refine, and expand your custom modules each month. Always included.
Expedited Sprint Solutions
When projects have greater urgency, expedited plans are available to ensure operational success.
HOW WE BUILD
Software, Roadmaps &
The Adaptive Advantage
How the adaptive model fundamentally changes engineering economics as you scale.
Product Architecture
Think of it like an iPhone: a stable OS with infinitely extensible apps on top.
Every client shares the same core foundation. Industry-specific logic is built once and reused across the vertical. Client-specific extensions are funded by the retainer and owned entirely by the relationship. The result is a system that compounds in value the longer we work together.
1
Core Platform
Universal foundation for all clients — the stable OS every layer builds on. ~100% reuse rate.
2
Vertical Modules
Industry-specific logic built once per vertical, reused across every client in that space. ~70% reuse rate.
3
Client Extensions
Unique workflows and edge cases floating on top — ~0% reuse
unique per client, impossible to replicate.
THE ARCHITECTURE
Modular layers enable client agility.
Traditional SaaS runs one monolithic codebase for all clients. We separate shared infrastructure from industry logic from client-specific work — each with its own funding model, reuse rate, and deployment cadence. This is why our engineering costs scale linearly while theirs scale exponentially.
Core Platform
Built once. Shared by all.
Amortized across entire client base
cost structure
REAL EXAMPLES — CONSTRUCTION VERTICAL
Vertical Layer
Industry logic. Reused per vertical.
Built once per industry, compounds with every new client
cost structure
REAL EXAMPLES — CONSTRUCTION VERTICAL
Client-Specific
Partnership-built systems.
Defined in partnership with client — never competes with shared roadmap
cost structure
REAL EXAMPLES — CONSTRUCTION VERTICAL
The Divergence
Traditional engineering costs grow exponentially with clients. Ours grow linearly.
0.9×
At 20 Clients
Models are nearly equal — Traditional SaaS is slightly leaner early on
2.6×
At 100 Clients
Traditional SaaS requires 2.6× more engineering effort
4.3×
At 200 Clients
Traditional SaaS requires 4.3× more engineering effort — and growing
*All figures are illustrative estimates for comparison purposes.
Inefficiencies of Traditional SaaS
#1 Rigid Roadmaps
What Vendors Say
Our product roadmap is packed with features coming soon.
What You Experience
Features you need today are deprioritized for 18 months while the vendor waits for enough other clients to agree. Your operation compromises to fit someone else's product vision.
The Real Cost
Your operation compromises to fit someone else's product vision.
#2 Implementation Is the Hidden Product
What Vendors Say
"Our implementation team will get you set up."
What You Experience
Professional services teams manually mapping your systems to theirs. The implementation IS the product — it was never truly ready out of the box.
The Real Cost
You pay for the software license AND the labor to make it actually work.
#3 Built for the Average Client
What Vendors Say
Our platform handles enterprise workforce management.
What You Experience
A generic platform built for the median customer. If you've carved out a real niche, you're constantly compromising.
The Real Cost
Your competitive differentiation is blunted by software that doesn't reflect it.
Ideal Client Profile
Who They Are
  • Companies managing 50–5,000+ external contractors
  • Multiple departments or regions with differing requirements
  • Real compliance and credentialing burden
  • Currently using spreadsheets, legacy software, or an expensive SaaS that doesn't quite fit
Their Mindset
  • Ops or HR leader frustrated with their current solution's rigidity
  • Has been burned by a "we'll build that" promise that never materialized
  • Values speed and responsiveness over feature count
  • Knows their operation is genuinely different — and is tired of software that doesn't reflect it
Why Construction First
Large Contractor Workforces
The core use case — exactly what we're built for.
Historically Underserved
Many firms still using spreadsheets. Software gap is real and wide.
Real Compliance Needs
Without the labyrinthine complexity of medical. Willingness to pay is real — contractor mismanagement is expensive.
Transferable Modules
Construction modules transfer readily to technology, government, and legal verticals.
Pricing Model
How It Works
Monthly retainer model. The base retainer of $8–12K/month covers three things: core platform access, a monthly allocation of development hours, and ongoing support. Clients are not counting seats or paying per user. They are investing in a dedicated engineering partner.
Flexibility Built In
If a client needs work beyond their monthly allocation — a faster timeline, a larger build — sprint packages are available at transparent rates. The retainer itself stays stable unless the client's core operational scope fundamentally shifts, and even then, it is a conversation, not an automatic escalation.
Revenue Model
1
Base Retainer
$8–12K/month per client — primary recurring revenue. Core platform access, monthly development allocation, and ongoing support.
2
Sprint Upcharges
Additional development beyond monthly allocation. Transparent rates, available on demand — expansion revenue on top of the stable base.
3
Natural Tier Expansion
As client complexity grows, retainer adjusts upward through a shared conversation — not a surprise invoice.
Revenue Model & Unit Economics
$10K
Avg. Monthly Retainer
Base recurring revenue per client
40%
Sprint Upside
Expansion revenue on top of base retainer
65%
Target Gross Margin
AI-assisted dev means 3–5x engineer productivity
167
Clients to $20M ARR
At $10K/month average retainer
Path to $20M ARR
Sprint and expansion revenue adds 30–40% on top of base retainer revenue. 100 clients at $15K/month base = $18M + $5–7M expansion = $23–25M ARR.
How We Compare
Objection Handling
"We already have a platform."
Are you getting features when you need them, or waiting on their roadmap? We don't have a roadmap. We have a team. Tell us what you need.
"This sounds expensive."
Compare it to your current spend: license + implementation + professional services + support. We wrap all of that into one retainer — and we actually keep building.
"What if you haven't built it yet?"
That's exactly the point. We build it for you. That's what the retainer is for.
"Will you still be around in 3 years?"
You are funding our growth. Every client on retainer is recurring revenue. We are dependent on doing good work — which we control.
Why We Win
Compete on Fit
Not features. No roadmap argument to win.
Compounding Advantage
We get better with every client we serve in a vertical.
Never Stop Building
There is no natural end to the relationship. You pay monthly. We keep building.
By the Numbers
What Development Actually Looks Like at Scale
A story point is a standard unit of engineering effort — roughly half a day of focused work. The charts below show the real volume of open work a product engineering team must manage at 100 clients.
8.8×
More Story Points
Traditional SaaS requires 8.8× more engineering story points than the Adaptive model at 100 clients.
75 vs 9
Engineers Needed
Traditional SaaS requires ~75 engineers to manage backlog at 100 clients. Adaptive model requires ~9.
2,100+
Competing Feature Requests
Traditional SaaS accumulates 2,100+ story points in feature requests alone — all competing on a shared roadmap.
Traditional SaaS
A single shared product backlog where every customer's need competes for the same engineering capacity. As clients grow, so does everything — simultaneously.
Backlog distribution
Adaptive Model (Our Model)
Work is organized by layer, not by customer. Core and vertical work is shared across all clients. Client-specific work is contained and never competes with the shared roadmap.
Backlog distribution
Engineer estimate based on ~80 story points per engineer per month. All figures are illustrative estimates for comparison purposes.