One ring fence per domain
Keep product lines, sites, or subjects in their own ring fences. A question about one never drags in the noise of another, so answers stay sharp as your library grows.
Paddock turns your manuals, policies, and internal knowledge into answers your team can trust, with the exact page cited every time. Run it against a cloud model, or keep it fully private on hardware you control.
A wrong answer from a document assistant is worse than no answer, because someone acts on it. Paddock is built for the questions where the number has to be right.
Each answer links to the page it came from. Your engineer clicks through and reads the source in one step, instead of trusting a paragraph and hoping. Citations open the original document at the right place, figures included.
Ask for a torque value, a weight limit, a fault code, a part number. Paddock returns the exact figure from the table with its page, not a paraphrase that rounds it or reads the wrong row. This is where generic document search quietly fails, and where technical teams get burned.
Paddock answers from your documents and cites them. When the answer is not in your material, it says so rather than inventing one. For a maintenance manual or a policy set, an honest "not found" is the safe answer, and the one your auditors want.
Schematics, wiring diagrams, and charts are indexed alongside the text. A question about the forward power schematic returns the figure, as a thumbnail you can open, not a sentence describing where it might be.
Yours can be a topic, a moment in time, or a single tenant. Draw the ring fence and every question stays inside it.
Keep product lines, sites, or subjects in their own ring fences. A question about one never drags in the noise of another, so answers stay sharp as your library grows.
"What did the maintenance manual require on the day of the incident?" Paddock answers from the revision that was current then, not the one you hold today. Point-in-time recall for aviation effectivity, insurance claims, and legal discovery, where the date is the whole question.
A patient, an employee, a policyholder. Their records live in a fence of their own, reachable only by the roles you grant, and removable in one operation the day the obligation ends.
Access is granted fence by fence. A team outside the grant has no index to search, so there is nothing to leak. Ethical walls, need-to-know, and clean teams become structure, not policy.
Serve many customers or business units from a single install, with hard separation between them. Each ring fence holds its own knowledge and no one else's, so nobody's query reaches another's documents.
A ring fence is not a filter over one big store. It is a shard: a complete, self-contained index you can permission, freeze, hand back, or delete, and prove all four. How shards work.
Paddock keeps your library, your indexes, and your citations on infrastructure you control. The model that reads them is your call.
Start on a cloud model, or keep the whole thing private. Same product, your decision.
Run it on-premise. When the data cannot leave, Paddock runs the model on hardware you control, air-gapped, with nothing going out. A Mac appliance that runs everything on one machine, in a hangar, a branch, a ship, a bank. This is the shape we specialise in.
Run it in your cloud. Containers your platform team drops into its own stack as infrastructure as code. Your cloud account, your region, your keys. Your library and indexes live on volumes you own, and can sit in whatever residency the rules require.
Or let us run it. On our managed SaaS you get the same product with the same ring fences, one isolated shard set per tenant, and you are answering questions in days. Because shards are portable, starting on SaaS never locks you in: move on-premise later and take your indexes with you.
| On-premise | Mac appliance or your servers · air-gapped · 0 outbound |
|---|---|
| Your cloud | Containers, infrastructure as code, your VPC and keys |
| SaaS | Managed by us, one fenced shard set per tenant |
| The AI model | Your cloud endpoint, or fully private on your hardware |
| Portability | Shards move with you, SaaS to cloud to metal |
Point Paddock at the documents you keep today. It reads them where they are, keeps web sources in sync, and gives every source its own settings.
| Source | What it handles |
|---|---|
| Manuals and reports, including dense technical tables | |
| Websites | Support portals and docs sites, crawled and re-synced on a schedule |
| HTML / Markdown / text | Knowledge bases and internal notes |
| CSV / JSON | Structured records and exports |
| You get back | |
|---|---|
| Exact value | The figure from the table, with its page |
| Grounded prose | An answer built from your passages, cited |
| Figure | The diagram itself, as a clickable thumbnail |
| Honest miss | "Not in these documents," when it isn't |
Retrieval is where it starts. Paddock lets your people interrogate the whole corpus, weigh what different sources say, and surface the evidence behind a call, without a document ever leaving your control.
Put one question to your entire ring-fenced library. Paddock gathers the relevant passages from every source that bears on it and lays out what they actually say, so an analyst starts from the evidence instead of hunting for it.
Every claim carries the citation it came from. A recommendation traces back to the exact page that justified it, so the people who sign off can see the ground it stands on.
The analysis runs where your data lives. Your knowledge is never shipped to someone else's model to be reasoned over, unless you decide it should be. The intelligence comes to your data, not the other way round.
Regulations like GDPR do not ask you to try. They ask you to prove. Paddock gives every individual, team, or customer their own ring-fenced store, so personal data is isolated by construction rather than by policy.
Each person's data sits in its own ring fence. A query inside one can never reach another, so there is no shared index quietly mixing records that should never meet.
A patient withdraws consent, an employee departs, a retention clock runs out. Remove that individual's ring fence and their data is gone in one operation, with nothing left bleeding into a shared store. The erasure is complete because the separation was real to begin with.
Keep each store on the hardware, in the region, or under the tenant the rules require. Data residency stops being a promise and becomes an address you can show an auditor.
Paddock grows by sharding. Your knowledge splits into independent shards, and a question only touches the ones that hold the answer, so recall stays fast and sharp whether the library is a thousand pages or ten million.
Split knowledge by topic, tenant, or time. Each shard is self-contained, so adding to one never slows the rest, and a query is routed only to the shards that matter.
Our patent-pending binary search finds the right passages using up to 60x less storage than a traditional RAG system. The same knowledge fits on a fraction of the hardware, so a corpus that used to demand a cluster runs on a box you already own.
Retrieval time holds steady as the library grows. Paddock searches shards in parallel and skips the ones a question does not need, so the last document lands as quickly as the first.
Paddock is one engine, tuned end to end. The models, the search, and the index were built together over years of our own research. That is why the answers land where generic tools guess.
Merino is our family of embedding and reranker models, built and tuned for the documents enterprises actually keep: dense tables, technical manuals, contracts. Generic models were trained on the open web. Ours were shaped for this.
Our patent-pending binary search is why Paddock stays fast and light as the library grows. How it works stays ours. What it gives you is exact answers on a fraction of the hardware.
On our own benchmarks Paddock puts the right source in its top results more than 95% of the time, and says so plainly when the answer is not there. Every claim here traces to a number we can show you.
Bring us a manual set, a policy library, or a support site. We will stand up a ring-fenced, cited, on-prem answer engine on hardware you control.