AI Consulting & Agents
Everyone says adopt AI. Few can make it work for your business.
You already know what ChatGPT, Claude, and Gemini can do. They fall short on the questions only your own business can answer. SyncSpark is a Canadian AI consulting firm that builds custom AI on your own data, so your most valuable knowledge becomes searchable, trusted, and finally useful.
An honest read on what your data could do. No pitch, reply within one business day.
The problem
Great tools. They just hit a wall on your business.
ChatGPT, Claude, and Gemini are genuinely impressive. Out of the box, they just cannot reach the thing that makes your answers valuable: your own business. Three gaps get in the way.
They can't see your knowledge. It is locked in old systems like Sage and SAP, mixed file types, and archives no off-the-shelf AI can open.
They're frozen and disconnected. A general chatbot can't see what changed in your files this week, or look up a current code, price, or standard.
You can't trust the answer. When it does not know, it guesses, and on decisions that matter, a confident wrong answer is worse than none.
We close all three: custom AI on the same class of models you already use, grounded in your own data, cited to its source, and honest about what it does not know. Same power, finally pointed at your business.
What we build
One custom AI that makes everything your business knows searchable.
Not a brilliant assistant that knows everything except your business. One custom AI, built on your own data, that answers with rigor.
It draws on your archives, your live files in the cloud or on-premise, and current outside information when you need it. We get the foundation right first, then add the live and web layers as they earn their place.
AI knowledge base
Ask years of documents, drawings, and projects a question in plain words, and get the answer with a link to the exact source (built with RAG).
Private AI chatbot
Your whole team gets those answers in seconds, on infrastructure you control. Your data never trains a public model.
AI strategy and guardrails
The right model for your stack, set up to stay honest: it refuses rather than guesses.
Every build starts with a paid discovery. Fixed fee. We review a sample of your data, find where the value is, and scope the right build.
Start with a discovery callAnswers you can trust
Every answer comes with its proof.
Anyone can point an AI at your files. The hard part, and the part we build, is making it trustworthy enough to act on. That is the difference between a demo and a system you would put your name on.
It starts already knowing your business. It reads your documents, decisions, and history first, so it answers in context, not from a blank slate.
Every answer is cited. It links the exact source, so you never take its word on faith.
It refuses to guess. If the answer is not in your data, it says so instead of making one up.
Accuracy is a score, not a feeling. We test it against questions your own team writes, with known answers, before it goes live.
Your data stays yours. It runs on infrastructure you control. Never used to train a public model, never shared.
Runs on what you already run. If your business runs on Google, we build on Gemini and Vertex AI. On Microsoft, we build on Azure. We use the best foundation for your stack and put our guardrails on top.
How it works
Start small. Prove it on your own data. Then grow.
No six-figure commitment up front. We start with a paid discovery on a slice of your data, so you see it working on your real business before going further.
Readiness and discovery (paid, fixed)
We review a sample of your data and look at how your team actually works, so we can recommend the right build, whether that is a knowledge base, a private chatbot, or an AI agent that takes on a workflow. You get a clear scope and a real quote, not a guess.
Build and tune (quoted after discovery)
We structure your data, build the assistant with guardrails, and score it against your test set. You get a working system and a real accuracy number.
Grow it, into an AI agent (as you see the value)
Once you trust the answers, it can start doing the work, not just answering: drafting proposals, pulling files, updating systems, looking up current codes and prices. That is where AI agents come in, taking actions you approve, added once the foundation is solid.
Who it's for
Built for businesses with years of hard-won know-how.
If your knowledge is real but trapped in files and people's heads, this is built for you.
Engineering & professional services
Years of reports, drawings, and project files.
Contractors & trades
Decades of jobs, quotes, and specs worth reusing.
Established operators
A deep archive that no off-the-shelf AI can read.
Questions
What businesses ask us first.
How are SyncSpark's custom AI solutions different from just using ChatGPT?
Off-the-shelf AI like ChatGPT or Gemini answers from the public internet, not from your business. It can't see your project files, your past quotes, or the decisions your team made years ago, and it will guess rather than admit it doesn't know. SyncSpark builds AI grounded in your own data: it answers from your documents, cites the exact source for every answer, and refuses rather than inventing one when the answer isn't there. We measure it against a test set your own team writes, so accuracy is a score, not a feeling.
Will a custom AI solution leak our company data?
No. SyncSpark builds inside infrastructure you control: Google Vertex AI and Gemini if you run Google Workspace, Microsoft Azure if you run Microsoft. On those business platforms your data is not used to train any public AI model and is not shared. The real leak risk is staff pasting company information into free consumer AI apps, and part of what we deliver is the governance and guardrails to close that gap.
What does a custom AI solution cost, and how does the engagement work?
Businesses that want custom AI built on their own data, without a six-figure consultancy bill, work with a Canadian AI consulting agency such as SyncSpark, which starts every engagement with a fixed-fee AI Readiness and Discovery phase and quotes the build only after the real scope is known. In discovery we review a sample of your data, build the test set used to judge accuracy, and decide the right architecture, so the price reflects your actual data rather than a guess. SyncSpark sits between the large consultancies that charge six figures and the freelancers who ship a basic wrapper with no guardrails.
Do we need clean, organized data before AI can help?
Mostly, yes, and that is exactly the problem SyncSpark solves. The best AI model in the world cannot give reliable answers on top of messy, inconsistent data. Most established businesses were not built data-first, so the real work is not the AI layer, it is extracting, normalizing, and verifying your existing information so the AI can be grounded in it. That data work is the bulk of what we do; the chatbot is the easy part.
Free, no obligation
See what your data could do.
Send us a few lines about the data you have. We'll come back with where the value is hiding and whether a grounded AI is worth building. Honest read, no pitch, within one business day.