AI Software · Custom AI Tools
AI tools built for the work only your business does.
Reviewed by Adam Segall, Founder & CEOUpdated
Custom AI applications that read your data and answer, draft, and process the work your team does by hand today.
01The problem
Generic AI stops at the edge of your workflow.
A public AI tool does not know your pricing, your documents, your past jobs, or your process. It gives confident, generic answers that are close enough to sound right and wrong enough to burn you. So your team fact-checks it, copies bits into other tabs, and the promised time savings evaporate.
The gap between a demo and a dependable tool is engineering. Grounding the model in your real data with retrieval, connecting it to your systems, constraining what it can do, and testing it against real cases. That is software, not a subscription, and it is the difference between a toy and a tool your team relies on.
02Why it matters
Why a custom tool wins.
Answers from your data
The tool reads your documents and records, so it responds about your business with your facts, not a plausible guess.
Built for one job, done well
We shape the tool around a specific task your team does often, so it fits the workflow instead of being a general chatbot.
Accurate and constrained
Retrieval, guardrails, and testing keep it reliable, so your team can trust the output instead of re-checking every line.
Yours to keep
You own the tool, the logic, and the data behind it, with no per-seat pricing on a black box you cannot inspect.
03How we do it
How we build your AI tool.
A repeatable process, run by the same in-house team from kickoff to launch.
- Step 01
Pin the use case
We pick a specific, high-value task your team repeats and define what good output looks like, so we build for a real job.
- Step 02
Ground and build
We connect the model to your data with retrieval, build the interface, and constrain what it can access and do.
- Step 03
Evaluate and ship
We test it against real cases, measure accuracy, add checkpoints where it matters, then launch it into your workflow.
04What you get
What you get.
- 01
A working AI application
A tool built for your task, grounded in your data, with an interface your team can use without training on prompts.
- 02
Retrieval over your content
The model connected to your documents and records, so answers come from your business instead of the open internet.
- 03
Evaluation and guardrails
A test suite, accuracy checks, and constraints on what the tool can do, so it stays reliable once your team depends on it.
05Results
Proof, not promises.
Verified results from live client builds: rankings, AI citations and tracked inquiries, not projections.
06Questions
Custom AI tool questions we answer.
What kinds of tools can you build?
Tools that answer from your own documents, draft content in your voice, summarize or classify records, extract data from messy inputs, and process the repetitive language work your team does by hand. We start from the task costing you the most time and build for that, not a general-purpose chatbot.
How do you stop it from making things up?
We ground the model in your real data with retrieval so it answers from actual sources, constrain what it is allowed to do, and test it against real cases before launch. Where mistakes are costly, we add a human checkpoint. Accuracy is designed in, not hoped for.
Is my data exposed to the AI provider?
We architect around your privacy requirements and keep your data under your control, which is a core reason to build custom instead of pasting sensitive information into a public tool. We scope exactly what the model can access and how, and design the data flow deliberately.
One team. Every channel.
Websites, search, ads, content, CRM and AI software built by one in-house team, so every piece works with the others.
Let's build the tool your team keeps wishing existed.
Tell us the task your team repeats most and we will tell you what a custom AI tool could do with it.