Most platforms index one of the three. SinglePoint™ makes all three sources AI-ready by unifying them, then enriching every document with your industry’s language so AI can retrieve what a source means to you.
What gets unified
Connecting your own files is table stakes. The hard part is putting them next to research you license and research you’d otherwise never be allowed to run AI over.
Your content
Past studies, internal reports, meeting notes, decks, and the colleagues who know the history. Connected from SharePoint and shared drives, or uploaded directly, and always permission-aware.
Our collections
Business news, global patents, corporate financials, thought-leader reports, social and hiring signals, and deep industry literature. Curated, deduplicated, and refreshed, with no open-web ingestion.
Their paywalled research
150+ licensed providers, each with AI use-rights negotiated one contract at a time. This is the content ChatGPT and Copilot can’t touch, and the reason an answer here can cite a report you already pay for.
Content pipeline
One pipeline, tuned per source, and every claim cited. The same eight stages handle every collection: news stories, patents, corporate filings, conference abstracts, analyst research, and your internal documents.
The enrichment difference
Anyone can point an AI at a folder. What decides whether the answer is any good is whether the system knows what the words in that folder mean in your industry. SinglePoint enriches every document before a question is ever asked.
Example in practice
Generic index
Keyword matches. The document surfaces if you already guessed the right words, and means nothing in particular once it does.
Life sciences lens
Read as a therapeutic-area signal, tagged to mechanisms, indications, and pipeline stage, and connected to the trial literature around it.
Financial services lens
Read as a competitive and IP-portfolio signal, tagged to issuers and sectors, and connected to the filings and analyst coverage around it.
Same file. Same platform. Two customers get the answer their team would actually have written.
Taxonomy & indexing
SinglePoint tags and indexes everything you license and own, because AI answers are only as trustworthy as the index underneath them.
Northern Light builds and maintains controlled vocabularies, taxonomies, facets, and customer-defined lists, tuned to your industry.
The index covers everything: licensed vendors, your internal research, and collections we build ourselves, from patents and filings to conference abstracts.
The classification engine indexes each document as it lands: topics, entities, and document type, all mapped to your taxonomy. No hand tagging, no backlog.
Each vendor ships metadata its own way. SinglePoint normalizes all of it, so one search, dashboard, or alert reads across every source you own.
Generative answers retrieve from precisely tagged content, so every claim links back to its source. The index is the hallucination protection.
The same tags drive search, dashboards, alerts, newsletters, and reading lists, and flow out through APIs and MCP so your whole stack speaks one language.
Since the 1990sIndexing at web scale before AI was a category.
Built in-houseThe patented taxonomy and classification engine are ours.
Beyond generic RAGOthers chunk and hope. We retrieve a tagged index.
No per-seat costYour data stays yours, for every user.
What it changes
The relevant document surfaces even when it never uses your phrasing, because the system knows the terms are related in your field.
Output reads like it came from someone who works in your industry, not a general assistant summarizing an unfamiliar document.
Because the system knows what each document is about, answers stay grounded in the source, with every claim cited back to its document.
Everything on this page runs inside your existing security and permissions, with zero data retention and no training on your content.
See how security and governance workCommon questions
SharePoint and shared drives, direct uploads of internal reports and past studies, the research subscriptions you already license, and the Northern Light collections. Internal experts can be surfaced alongside documents so people find the colleague as well as the file.
SinglePoint reads each document through industry-specific taxonomies, a 60,000+ term vocabulary, and 300+ linguistic rules, tagging what it is about in the language of your field. That is why the same patent means one thing to a life-sciences team and another to a financial-services team.
Because the AI use-rights were negotiated with each of the 150+ providers individually, and the documentation is audit-ready. General-purpose tools have no such rights, which is why they fall back to the open web.
Yes. Your content stays in your own tenant, is never retained, and is never used to train AI models. Access is inherited from your identity provider down to the document level, so people see only what they are already allowed to see.
Keep reading
We’ll run it live across licensed research and Northern Light collections, and show you what enrichment changes about the answer.
Book a live demo