We build AI systems that handle your administrative work — deployed on your infrastructure, with your data, under your control. You get the benefits. We handle the technology. Then we hand you the keys.
There's a skill for that.
Serving non-profits, schools, churches, unions, and startups — nationwide.
You want the advantages. You don't want the homework. That's exactly where we come in.
Every unanswered inquiry is a person who needed you and moved on.
Invoices, contracts, grant reports, intake forms — hours a week, every week.
Coordinating people, rooms, and time is a full-time job on top of your real job.
Client and member history lives in someone's head — until they leave.
Data privacy, security, vendor lock-in — the risks feel bigger than the reward.
You're already stretched. The last thing you need is another platform to master.
Before managed IT providers existed, small organizations either couldn't afford an in-house tech department or muddled through alone. MSPs showed up with a simple pitch: we'll manage your servers, backups, security, and helpdesk — you don't need to understand any of it, you just need to trust us and pay a predictable fee. That industry is now worth well over $150 billion, built almost entirely on trust rather than technical evaluation.
Think about the last time your organization set up a new office suite, installed the apps everyone actually needed, configured the network, or loaded years of records into new accounting software. Chances are you didn't do that alone — you brought in a specialist, they handled it, and you got back to your actual work. AI workflows are no different. You could spend weeks figuring out which tools fit your organization and stitching them together yourself, or you could bring in a specialist to get you up and running.
That's the model we're bringing to AI. Call it AI IT.
| Traditional Managed IT | Infosoul "AI IT" |
|---|---|
| Servers & networks managed for you | AI systems managed for you |
| Helpdesk when something breaks | On-call consultant when something breaks |
| Data backups & security monitoring | Data privacy & security-first builds |
| Predictable monthly fee | Predictable setup fee, retainer optional |
| You don't need to understand networking | You don't need to understand AI |
"You don't hire a managed IT provider because you understand networking. You hire them because you trust they'll handle it. That's exactly how we want you to think about AI."
Every sector has its own administrative burden. We build AI appliances for each one.
"We help non-profits reclaim time for their mission, not their inbox."
"We give your principals and teachers back 50+ hours a semester."
"We handle the admin so you can focus on ministry."
"Members get answers 24/7 — not a hold queue."
"You had the idea. We handle the rest."
Most clients arrive wanting one thing fixed. Some need a packaged appliance; some need software written, a pipeline built, or an honest opinion about whether AI is the answer at all. We do the whole range, and we say which one you actually need.
What to automate, what to leave alone, what it will cost and what it will not do. Often the deliverable is a decision, not a system.
Prototypes against your own data and your own questions, built to be evaluated rather than demonstrated.
Front to back — interface, service, database, deployment. Built to be handed over and maintained by somebody else.
Getting a straight answer out of the records you already keep. Cleaning, joining and reporting on data that was never designed to be analysed.
Assessment and hardening for organisations that hold sensitive records and cannot afford a breach or a headline.
When the off-the-shelf tool nearly fits and the gap is the whole job.
Wiring models into the systems you already run — your CRM, your inbox, your case management — instead of adding one more place to log in.
The repeated, boring, error-prone sequence, done the same way every time without somebody remembering to do it.
Explainers, welcome films, narration and score, produced in-house with open tools. See Overground.
Putting a record online that exists only on paper, film or a dead hard drive — in its existing format. We index it; we do not edit it. Built for community newspapers, congregations and historical societies whose own archive is unreachable. Nothing is reformatted without being asked.
Every one of these runs on the same rule as the appliances: deployed on your infrastructure, with your data, under your control. We set you up and you keep the keys.
You don't need to know how it works. You load it, press the button, and it handles the task. There's a skill for that — here's the current menu.
Scans, extracts, and routes contracts, invoices, and forms.
See it in action →Remembers every client or member detail and surfaces it instantly.
See it in action →Monitors systems and flags vulnerabilities before they're exploited.
See it in action →A branded AI voice and face for welcome videos, training, and multilingual announcements.
See it in action →A branded AI voice and face — used for welcome videos, training content, and multilingual announcements — built once, reused whenever you need it.
| Frontier (ElevenLabs + Nano Banana) | Open-Source (Self-Hosted) |
|---|---|
| Highest realism, fastest to stand up | Slower to set up, no per-use vendor fees |
| Voice and likeness processed by a third-party vendor | Voice and likeness stay on infrastructure you control |
| Best for one-off or occasional content | Best for organizations generating content regularly |
This isn't a mockup. The face was generated by Segmind Tiny-SD (Apache 2.0), the voice by Piper (MIT), and the mouth movement by Wav2Lip — all open-source, self-hosted, no cloud API involved. The face is entirely synthetic and fictional; no real person's likeness was used. Hover over it — every frame of lip motion was generated from the audio, not a canned animation or a volume pulse.
Generated using open-source components we'd deploy the same way for you: Piper for voice (MIT), Wav2Lip for lip-sync (CC BY-NC 4.0 — non-commercial; a real deployment would use a commercially-licensed lip-sync engine instead). We couldn't run any of this inside our own demo sandbox — it has no GPU and its network is deliberately locked down — so we ran it on ordinary consumer hardware (a 4GB GPU) instead and pulled the result in. That's the honest version of what a real deployment looks like: matching the model to the hardware you actually have, which is exactly what our Hardware Fit tool above helps you plan for.
Before we build one: we get written consent from anyone whose voice or likeness is used, and every generated video is clearly labeled as AI-generated. That's non-negotiable — trust is the whole point.
Animation, video and audio production, done the way we do everything else: with open tools, on hardware you control, and handed over with the keys. Below is an example of what that looks like — Overground, a teaching tool for exploring the Milky Way, running live in your browser.
The planets where they actually are tonight. Five thousand real stars in their true directions, the constellations in three dimensions, Voyager and the other probes at today’s distances, and a flight out to the centre of the galaxy. Every number on every card is the real one; only the distances are squeezed so the whole sky fits in one room, and it says so. Made for classrooms, libraries, congregations and anyone who wants to look up. Click a world to fly to it.
Stop-motion in code: puppets, sets and film grain generated rather than downloaded, so there is nothing to license and nothing to lose. Character work, motion capture, and a director’s camera, rendered in a browser or to a video file.
Welcome films, explainers, training pieces and teaching tools like the one above. Title cards, a film look, and highlight reels cut automatically from a recording — without a production company’s invoice, and without your footage leaving your building.
Narration from open-source speech models, in any language your community speaks. Sound effects and score synthesised in code for the piece, not licensed for it. The same voices power our digital spokesperson.
Overground is a desktop-browser piece and takes a moment to build itself on first load. It works best with a mouse: click a world or a name to fly there, drag to look round, roll the wheel to close in.
Pick a task. Choose which kind of AI answers it. Every response below is real, generated output — not scripted copy — from an actual frontier model and an actual self-hosted open-source model.
The frontier response was generated by Claude (Anthropic) directly in this conversation. The open-source response was generated by Qwen3 8B (Apache 2.0), running locally via Ollama on ordinary consumer hardware — no cloud calls, and the timing shown is the model's actual measured generation time. Both were generated once and verified, not simulated on each page load. In a live engagement, responses run against your real data, inside a sandboxed environment tailored to your systems.
We help you choose — and we'll tell you honestly when one is a better fit than the other.
| Factor | Frontier (OpenAI / Claude / Gemini) | Open-Source (Self-Hosted) |
|---|---|---|
| Best for | Complex reasoning, fastest setup | High-volume, routine, data-sensitive work |
| Where your data goes | Vendor's servers | Stays on your infrastructure |
| Cost as you grow | Scales with usage / seats | Predictable, fixed infrastructure cost |
| Vendor lock-in | Higher | None |
| Setup effort | Low | Higher — we handle it for you |
Think of this like a device-agnostic repair shop — we don't care what hardware you're running or which vendor it came from. Tell us what you've got, and we'll tell you honestly what fits locally, and what's better left to a frontier API.
A directional estimate, not a benchmark. Our diagnostic session includes a full technical assessment of your actual environment.
ChatGPT (OpenAI) and Claude (Anthropic) are genuinely impressive general-purpose AI assistants. We often build on the same underlying models. The difference is what happens after you open the tab.
| ChatGPT / Claude, on their own | Infosoul "AI IT" |
|---|---|
| One conversation at a time | Runs continuously in the background |
| You do the typing, prompting, and copy-pasting | Built once so no one has to prompt anything |
| Doesn't know your donor list, roster, or invoices | Wired directly into your actual data and workflows |
| You manage the account, the risk, the setup | We manage security, privacy, and uptime for you |
| A great starting point | A finished system that just works |
We're not affiliated with OpenAI or Anthropic. We simply build, secure, and maintain the systems on top of their models — or open-source alternatives — so your team never has to.
No jargon, no lock-in, no learning curve required.
A short conversation about what's wasting your time or costing you money.
We design and deploy the AI appliance that solves it — on your infrastructure, with your data.
You own the code, the data, and the infrastructure. Nothing is held hostage.
Forget us. Keep us on call. Or bring us on as an ongoing partner. Your call, always.
It's your system. We don't believe in locking you in.
If we can crack it, we can patch it.
Our background is in systems security: understanding how things break, where the weak points are, and how to close them. We bring that same mindset to every AI system we build — so you get something that's not just functional, but defensible.
We're independent. We're not tied to a single model vendor, and we don't profit from locking you into one.
We're pursuing formal certification on both platforms we build with, so "we know this stack" is something we can prove, not just say.
This is a layout mockup, not a claim — we don't hold either certification yet. When we do, the real badges (independently verifiable through Credly, not a graphic we made ourselves) will replace this placeholder.
Most of our work happens remotely — video calls, shared documentation, ongoing support. In-person consultations are available on request for discovery sessions, training, or handoff (a travel fee may apply).
Location isn't a barrier. It's just a detail.
Before an organization buys anything, somebody has to explain the thing. This is that explanation, given in your room, to your people — and it is the way most clients meet us. No background assumed. The room asks the questions, and watches the machine get one wrong.
The rooms it is built for. Photographs from open-licence galleries, credited in media/CREDITS.md; they are not our events.
What AI is, what it gets wrong, who owns it, and what a room of ordinary people can run themselves. The evening edition takes the word superintelligence apart: what is actually being built, who profits, and what you keep.
The room puts its own questions to a model, watches it get one wrong, and learns how to check. Laptops or phones, or two to a screen.
Everyone makes something real for their organisation: the newsletter, the flyer, the grant paragraph, the announcement in two languages and in a spoken voice. Built in advance from three of your own documents, so the exercises are yours. Models come from the open-source galleries, Hugging Face and the Ollama library, free to download and keep.
Install an open-source model from Hugging Face or the Ollama library on your organisation’s own laptop and leave with it working. No subscription, and nothing leaves the building.
The talk, then the two workshops, then the build. The room that heard the explanation is the room that leaves running its own machine.
The same session for the people who work there, with a policy conversation added: what the organisation will and will not use these tools for, written down before you leave.
Presented by Brock Satter, Director of Infosoul Laboratories
(LinkedIn).
BA, Comparative Studies of Science, Technology and Culture, University of Minnesota, 1993
— an individually designed major across information technology, biotechnology and
artificial intelligence, thirty years before the current wave. The same year the MIT Media
Lab turned down his application to its science, technology and society programme, which he
mentions so you know how long he has been at this: in 1985 he was writing BASIC to automate
the Players Handbook and Dungeon Masters Guide, and then TSR’s
Top Secret and Marvel Super Heroes, and in 1987 a text-based slam-dunk contest
game. He builds these systems for a living, is
not a futurist, and is not selling anything from the stage. If an appliance is the right
answer for your organization we will say so afterwards, in private, and you are free to
ignore it.
Six short chapters, one sitting: a brief history and why it arrived all at once; the tech, broken down, no maths; using it, with the real cases from the talk; what it gets wrong; who owns it and what it means for work; and run your own, the half-day as a written walkthrough, with the one-page guide as the appendix.
For hosts: a copy for every seat can be added to any booking at cost. Say so in the booking form.
One email when it is published. Nothing else.
Pick the session, give us two dates, and we reply within one business day with a confirmation and the invoice. No deposit.
Tell us what's wasting your time. We'll tell you honestly whether AI can fix it.
We reply within one business day. No pressure, no obligation.