Generic automation tools are built for the average case. Your business isn't average. It has its own data, its own rules, its own edge cases. We build custom AI systems that work the way your business actually works. Self-hosted, no SaaS middlemen, no compromises.
Most companies selling "AI automation" are reselling subscriptions or bolting ChatGPT onto existing tools and calling it a solution. They save you hours. They don't change your business.
Great for simple if-this-then-that. The moment you need custom logic, proprietary data, or anything outside the template, you're stuck. And you're paying per task, forever.
Any prompt engineer can wrap an LLM in a form and charge $10k. Without deep integration into your actual data and workflows, it's a demo, not a system.
Third-party SaaS subscriptions pile up. One price hike, one API change, one acquisition, and your "automation" falls apart overnight. You never owned it.
Template shops don't understand your data model, your edge cases, or the exceptions that make your operation unique. They deploy a version of the same thing they sold the last client.
The tiers are real. The differences are dramatic. Know what you're buying.
| Tier | What they actually do | Setup | Monthly |
|---|---|---|---|
Tool Connectors Zapier / Make certified partners |
Drag-and-drop templates. If-this-then-that logic. No custom code, no proprietary software, no real engineering. | $1–8k | $0.5–5k |
AI Agencies ChatGPT wrappers, prompt engineers |
Generic AI tools bolted onto existing SaaS. High markup on third-party API subscriptions. Minimal actual engineering. | $5–15k | $3–10k |
Custom Dev Shops API integrations, data pipelines |
Real engineering. Custom integrations, proprietary logic, proper architecture. Rare and expensive, but most don't specialize in AI agents. | $5–50k | $8–20k |
We build AI agent networks custom-engineered around your specific data model, business rules, and edge cases. Every system runs on infrastructure you control. No third-party subscriptions in the critical path. No vendor that can raise prices, change APIs, or shut down. Just software that belongs to you.
Each one is a standalone engagement or part of a larger system. All of it runs on your infrastructure.
Agents that understand your specific data model, follow your business rules, and handle your edge cases, not a generic template deployed with your logo on it. They research, reason, decide, and act.
Core offeringWe deploy everything on your servers or private cloud. No Zapier seats, no Make subscriptions, no OpenAI markup. You pay us for the build. Everything else is yours to own and operate at cost.
Zero vendor lock-inWe connect to your actual data: CRMs, databases, internal APIs, legacy systems. Not just the clean public endpoints every Zapier template uses. The messy, real stuff that actually runs your business.
Full-stack engineeringTurn raw data into decisions. Lead scoring, market research, competitor monitoring, document extraction, built as durable pipelines that run continuously, not one-off scripts that break silently.
Data → decisionsFinance, insurance, healthcare-adjacent, legal: industries where data leaving your environment isn't an option. Self-hosted means we can build for compliance scenarios most AI agencies can't touch.
On-premise capableSoftware isn't done when it's deployed. We stay on as a technical partner, monitoring, iterating, and evolving the system as your business changes. Monthly retainers, not one-time hand-offs.
Long-term investmentThe difference between automation that changes your business and automation that breaks silently at 2am is the same as the difference between a real engineer and someone who learned Zapier on YouTube. Here's why that gap matters.
Real business data has exceptions, inconsistencies, legacy schemas, and edge cases. Generic tools assume clean inputs. A specialist builds systems that handle the actual reality of your data, including the 20% of records that don't fit the happy path.
The difference between a system that works 80% of the time and one that works 99.9% is architecture. Error handling, retry logic, fallback states, observability: these aren't features, they're what separates a tool from a production system.
When you route sensitive business data through third-party SaaS, you're trusting their security posture, their uptime, their legal team, and their pricing forever. Self-hosted means your data never leaves a server you control. That's the baseline, not a nice-to-have.
A Zapier workflow that breaks silently doesn't just cost you the automation, it costs you trust in the data it was supposed to produce. Every silent failure compounds. Proper engineering means the system tells you when something's wrong before your business does.
"A Zapier agency saves you 5 hours a week. We eliminate a role or turn a 2-person team into the output of 10. Those are different conversations, with different budgets, and different decision-makers. The question isn't whether AI automation makes sense. It's whether you're buying the version that actually changes the outcome."
Most businesses have more automatable work than they realize. The problem isn't finding the technology. It's knowing where to look. Three questions help identify almost every high-value opportunity.
Repetition is the first signal. If a person on your team does the same task on a regular schedule, that task is a candidate. The higher the frequency, the faster the ROI. Weekly reports, daily lead follow-ups, recurring data pulls: all fair game.
If someone is copying information from one place to another, looking something up to make a decision, or converting data from one format to another: that's an automation. The messier the data, the more a custom-built agent outperforms a template tool.
Most business workflows have a standard path and a set of exceptions. Generic tools handle the standard path. We build agents that handle the exceptions too: the edge cases, the weird inputs, the situations that currently require a human because "it's complicated."
That workflow can almost certainly be automated. The question is whether you build it right once or patch it together with templates that break. We've built a full catalog of what this looks like across 11 industries.
We don't drop a proposal and disappear. Every engagement follows a deliberate process built around understanding your business before touching any code.
We learn your business: the data model, the workflows, the edge cases, the exceptions that make your operation unique. Not just the surface request.
We design a system that fits your stack, your security posture, and your team. No surprises in deployment. Every decision documented before a line is written.
Custom TypeScript. Custom logic. Agents built around your actual data model and business rules. Tested against your real edge cases, not synthetic demos.
Deployed to your infrastructure. You own the code, the data, and the runtime. Full documentation and operational runbooks handed over alongside the system.
We stay on as a partner. As your business evolves, the system evolves with it. Monthly retainers or on-call support. Whatever fits your operating model.
"We could walk into a new client tomorrow and have a production-ready AI system live within days, not months. Most agencies quote 3–6 months for a first deployment because they're figuring it out as they go. We've already figured it out. Your engagement starts at the finish line of theirs."
If your business is ready to move beyond templates and subscriptions and want AI that's actually built for how your operation works, let's have a conversation. No pitch deck required. Just tell us what you're trying to do.
We respond within one business day. Typical first call is 30 minutes.