Pennsylvania · Applied AI

AI knowledge base in Philadelphia

Internal AI knowledge base, built for businesses operating in Philadelphia.

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What AI knowledge base actually does

Your team's tribal knowledge, finally searchable. Upload your SOPs, training videos, past emails, and Slack threads – your team asks questions and gets answers with citations.

Most of our Philadelphia engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI knowledge base is then designed against the detail, not the shape.

Built on: Claude Pinecone Vercel AI SDK Postgres MCP

Why Philadelphia businesses choose this

Philadelphia runs on healthcare, education and a manufacturing base that never fully left – AI here means modernising operations built up over decades, not starting from a blank slate.

What's different about doing this work in Philadelphia.

One of the largest hospital and university networks on the East Coast, alongside a manufacturing and logistics base with real history. Philadelphia businesses want AI that fits into how things already run, not a rip-and-replace.

We work with teams across Philadelphia: Center City · University City · Fishtown · Manayunk · Old City · South Philly.

How we build AI knowledge base for a Philadelphia team

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Philadelphia business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.

Internal AI knowledge base.

The outcome for Philadelphia teams

We'd call the engagement a success when Philadelphia teams are using the system without thinking about us. New staff get to productive 3x faster – less senior-team interruption.

New staff get to productive 3x faster – less senior-team interruption.

AI knowledge base in Philadelphia – common questions

How long does AI knowledge base take to ship for Philadelphia businesses?

We aim for a working pilot inside 4-6 weeks – narrow scope, real Philadelphia businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

Anyone else in this space using AI knowledge base?

Plenty. New staff get to productive 3x faster – less senior-team interruption. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.

Who owns the code and the model setup?

You do, on delivery. We deploy AI knowledge base into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too – we don't operate it from ours.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.