AI Solutions
AI That Works On Your Data, Without Handing It Over
Every software vendor seems to have an AI feature now. Most of them work the same way: your data leaves your systems, gets processed somewhere else, and comes back as an answer you can't fully verify. For a lot of Connecticut businesses, that's a problem — not because AI isn't useful, but because those generic add-ons don't know your business, your documents, or your workflows.
We build AI systems that are grounded in your actual content and, when it matters, run entirely on your own hardware. No per-seat SaaS fees, no third party holding your customer data, and no black-box tool that confidently gives wrong answers. Just a focused system that does one job well.
Private Document Search
Pilot $3,000 · Full deployment $15,000–30,000
Law firms and any team sitting on a document archive
Ask questions in plain language across thousands of documents and get answers with citations to the specific file and page. Runs on hardware you control, so privileged material never leaves your network. The pilot proves it on a slice of your real documents before you commit to the full deployment.
Document Data Extraction
$2,500–6,000 build · $150–400/month to run
Anyone re-keying invoices, forms, or reports by hand
Pull structured fields out of invoices, purchase orders, intake forms, and scanned paperwork, then push them into the system that needs them. Priced as a build plus a monthly run cost, because extraction pipelines need monitoring and occasional retuning as your documents change.
Workflow Automation with AI
Discovery $750 · Projects $2,500–10,000
Teams whose manual steps need judgment, not just rules
Free-text understanding on intake forms, auto-categorization of support inboxes, intelligent routing. The $750 discovery is a fixed-price scoping engagement — you get a written assessment of what's automatable and what it costs, and you can take that document to anyone.
AI Use & Data Security Assessment
$1,500–3,500
Businesses where AI is already in use, sanctioned or not
Advisory only: architecture review, data-flow mapping, and written policy recommendations covering which tools your team is using, where your data ends up, and what to change. No active testing of any kind, and no penetration testing — this is a document, not an engagement against your systems.
What We Don't Do
Knowing where someone stops is usually more useful than another list of things they claim to do.
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Fine-tuning
Retrieval over your documents beats fine-tuning for almost every business use case, at a fraction of the cost. If your problem genuinely needs a fine-tuned model, we'll tell you and point you elsewhere.
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Custom model training
Training a model from scratch is a research budget, not a small-business one. We build on open-weight and commercial models that already exist.
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Unsupervised agents
We don't build systems that take consequential actions — sending money, emailing customers, changing records — without a human approving the step. The failure modes aren't worth the time saved.
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Security testing
The security assessment above is advisory only — architecture review, data-flow mapping, and written recommendations. We don't run penetration tests or any other active testing against your systems.
Why This Starts With Law Firms
Document search is the offer we've built most deliberately around one kind of buyer, because legal work has three constraints at once that most tools handle badly.
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Privilege is not negotiable
Sending client documents to a third-party AI service is a problem no feature list solves. On-premises deployment isn't a nice-to-have here — it's the only version of this that's usable.
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Access is per-matter
A firm-wide search box that ignores matter boundaries is worse than no search at all. Access control has to be built in from the start, along with an audit log of who asked what.
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An answer without a citation is worthless
A confident summary you can't trace back to a source document is a liability. The system cites the file and page for every claim, or it declines to answer.
Nothing above is a claim about firms we've worked with. It's a description of the problem, and the reason the architecture looks the way it does. If your practice has the same three constraints, the pilot is the cheapest way to find out whether it works on your documents.
Custom AI vs. Off-the-Shelf AI Add-Ons
| Feature | Custom-Built AI | Generic SaaS AI |
|---|---|---|
| Data Residency | Stays on your servers | Sent to third-party cloud |
| Per-User Fees | None — you own it | $20–50/user/month adds up fast |
| Customization | Trained on your data and workflows | One-size-fits-all |
| Vendor Lock-In | You own the code and models | Dependent on provider's roadmap |
| Privacy & Compliance | Full control — your data never leaves your infrastructure | Shared infrastructure, limited guarantees |
Your Data, Your Servers, Your Rules
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On-Premises
Deploy on your own hardware. Your data never leaves your building. Ideal for regulated industries, compliance-driven organizations, and teams that need full physical control.
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Your Cloud
We build it; you host it on your AWS, Azure, or GCP account. You own the infrastructure, the data, and the keys. We handle setup and can provide ongoing support.
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Fully Managed Options
We can also host and maintain everything on your behalf on global cloud infrastructure. You focus on your business — we handle uptime, security, and updates.
Questions We Hear Before a First Call
- Can AI actually help my 15-person company?
- What stops the AI from making things up?
- Does our data leave our servers?
- How is this different from just using ChatGPT?
- What does this cost compared to hiring someone?
- We're not a tech company — can we actually maintain this?
From First Call to Running System
Most proof-of-concept demos are ready in 2–3 weeks.
- 01
Discovery Call
We ask about your workflows, your data, and the problems you want to solve. If AI isn't the right fit, we'll tell you that too.
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Proof of Concept
We build a working demo on a slice of your real data. You see exactly how the system behaves before any significant investment. Typically ready in 2–3 weeks.
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Build & Deploy
We build the full system, integrate it with your existing tools, and deploy it to your chosen infrastructure — on your servers, your cloud account, or ours.
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Monitor & Improve
We monitor performance, catch edge cases, and refine the system as your business evolves. You're not left alone once it's live.
Frequently Asked Questions
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Does our data leave our servers?
Not if you don't want it to. We offer fully on-premises deployments where all processing happens on your hardware. For managed deployments, we use isolated infrastructure — your data is never shared or used for training.
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Which AI models do you use?
We select the best model for your use case — that might be an open-source model running locally, or a commercial API when privacy requirements allow it. We're not locked to any single vendor.
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How do you prevent hallucinations?
We use retrieval-augmented generation (RAG) — the AI pulls answers from your actual documents rather than generating from memory. We also build in citation requirements so you can verify every response.
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Can this run without internet access?
Yes. On-premises deployments run entirely on your local network with no external dependencies. This is especially important for air-gapped environments in legal, healthcare, and financial services.
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How much does this cost compared to hiring?
Projects are scoped individually based on complexity. A focused automation typically costs less than a single employee's quarterly salary and runs 24/7 without breaks. We provide a detailed quote after a free discovery call.
See If AI Fits Your Business
Book a free 20-minute call. We'll ask about your workflows, identify where AI could help, and tell you honestly if it's worth pursuing.
Book a 20-Minute AI Fit Call
Ready To Transform Your Business?
We build fast websites, custom software, workflow automations, integrations, and AI solutions for Connecticut businesses. Let's discuss how we can help streamline your operations and grow your business.
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