Early Access
Pivotal

Knowledge that compounds.

Enterprise knowledge platform powered by your choice of LLM. Not stateless RAG: documents are ingested, entities and concepts extracted, and a persistent wiki built that grows with your organisation. Knowledge stays current, searchable and auditable.

Traditional RAG
  • Stateless: every query starts cold
  • No accumulated understanding
  • No relationship between documents
  • Knowledge doesn't compound
  • No staleness detection
Pivotal
  • Persistent wiki grows over time
  • Entities and concepts extracted and linked
  • Knowledge graph shows relationships
  • Every ingestion adds to understanding
  • Grounding score + staleness audit

Platform Capabilities

Pivotal handles ingestion, extraction, organisation and retrieval. Your team focuses on using knowledge, not maintaining it.

Agentic Wiki

Not stateless RAG. Pivotal builds a persistent wiki from your documents. Typed pages such as entities, concepts, people and decisions accumulate and organise knowledge automatically. Curators can lock a placement so the LLM cannot override it.

LLM-Powered Extraction

On ingestion, your chosen LLM extracts entities, concepts and relationships automatically. The wiki builds itself as documents flow in, without manual curation overhead.

Agentic Workflows

Define agents as ordered recipes of skills - read, search, synthesise, propose edits, route to people. They run on a schedule, on demand or when knowledge events fire, and every proposed change passes through a human review queue before it reaches the wiki.

Proactive Insights

Pivotal surfaces what is missing: topics referenced across many documents with no page, people mentioned often but never profiled, and under-represented knowledge areas. Turn any insight into a wiki stub with one click.

Source Grounding & Audit

Every page carries a grounding score - the fraction of its citations that remain valid after reingest. A nightly LLM audit adds findings for contradictions and stale facts, so you can see at a glance which pages to trust and which need attention.

Knowledge Graph

Entities and concepts connect in a browsable graph and topic map. Explore relationships visually, trace concepts across documents and understand how knowledge is distributed.

Hybrid Search

Keyword and semantic search run together across both wiki pages and source documents, then results are reranked, finding answers buried across hundreds of documents with the precision of structured retrieval.

Chat with Citations

Ask questions in plain language and follow up as you go. Answers are grounded in your wiki and documents, with inline citations that link back to the source. Research and Compare modes cover longer memos and side-by-side comparisons.

See the state of your knowledge at a glance

The dashboard shows what has been ingested, how much of the wiki is backed by its sources and where the pipeline is up to, scoped to the space you are working in.

  • Document, wiki page and entity counts for the selected space
  • Grounding, freshness, audit and coverage tiles on every space
  • Ingestion pipeline status from queue to ingested, with failures called out
The dashboard on a fictional engineering wiki

Pages that show their working

Each wiki page is typed, summarised and linked to the pages it relates to. A grounding badge and a sources tab show which documents back it, so you know how far to trust it.

  • Entity, concept, decision, person and summary pages with a short lead summary
  • Cross-links between related pages, a table of contents, history and a timeline tab
  • Sources tab listing the documents behind the page
An entity page with a grounding badge and links to related pages

Ask questions, get answers with sources

Ask in plain language and follow up as you go. Answers draw on the wiki and the documents behind it, and every claim points back to the page or document it came from.

  • Numbered citations in the answer link to the wiki page or document, with the supporting excerpt in the sources list
  • Follow-up questions keep the thread, so you can ask who owns something or what depends on it without repeating yourself
  • Scope a question to one space or ask across all of them, and pick a conversation up again later
A two-question conversation on a fictional engineering wiki, with sources expanded

Piece related facts together

Research mode writes a longer memo from more sources. Compare puts two wiki pages side by side, such as two decisions, services or people, optionally focused on one aspect.

  • Pick any two wiki pages and get a structured comparison with a table, similarities and differences
  • Every statement is cited back to the pages being compared
  • Search mode skips the written answer and shows ranked wiki pages and documents
Comparing two decisions, with citations back to each page

Explore how it all connects

The connections view draws the wiki as a graph. Filter by page type, search for a node and cluster by section to see how services, decisions, concepts and people relate.

  • Colour-coded by page type: entities, decisions, concepts, summaries and people
  • Find a node, filter by type or cluster by section
  • Scoped to a single space or across the whole organisation
The connections graph for the seeded engineering wiki

Find the gaps before someone asks

Insights look across what has been ingested and surface what is missing: topics mentioned across many documents with no page, people referenced often but never profiled, and under-covered areas.

  • Knowledge health score built from freshness, coverage, connectivity and completeness
  • Proactive insights with a confidence level and the number of documents behind each one
  • Mark an insight as handled, dismiss it or create a wiki page from it
Proactive insights surfaced from the seeded documents

Agents propose, people decide

Agents can draft new pages or edits, for example turning a gap into a grounded page. Nothing lands in the wiki until a person approves it from the review queue.

  • Built-in agents for filling gaps, digesting meeting transcripts and a daily digest
  • Proposed content, confidence and citations shown before you approve or reject
  • Run on a schedule, on demand or when knowledge events fire
The review queue: approve or reject what agents propose

Where early access stands

  • Runs on your own infrastructure, with your choice of LLM provider, including a local model.
  • Each install serves one organisation today, and sign-in and per-user access control are still being built. Early access installs are deployed inside your network.

Built for Knowledge-Intensive Work

Pivotal is purpose-built for teams where institutional memory is a competitive advantage.

Consulting & Advisory

Accumulate project learnings, client context and methodologies. Every engagement enriches the knowledge base.

Legal & Compliance

Precedents, policies and regulatory knowledge linked and searchable. Never lose a decision or its rationale.

Financial Services

Research, analysis and investment theses organised by entity. Analysts find context without hunting through archives.

Professional Services

Technical expertise and project history preserved and retrievable.

How Pivotal Fits the Stack

Pivotal is a knowledge application. It sits above the gateway and inference layers, using LLMs to build and query organisational memory.

Alloy logo

Pivotal and Alloy

App + Gateway

Pivotal is an LLM-powered application. Alloy can sit in front as the gateway, managing which providers Pivotal uses, enforcing cost budgets and capturing audit logs of every inference call.

Kaizen logo

Pivotal vs Kaizen

Knowledge vs Coding

Kaizen is an AI coding agent for software teams. Pivotal is an organisational knowledge platform for any knowledge-intensive team. Both are LLM-powered applications; neither is a gateway or inference engine.

AgentOS logo

Pivotal vs AgentOS

Knowledge vs Orchestration

Pivotal focuses on building and querying organisational knowledge. AgentOS orchestrates autonomous agents across enterprise workflows.

Frequently Asked Questions

What is Pivotal?

Pivotal is an agentic enterprise knowledge platform. It ingests documents such as PDFs and DOCX files, uses your chosen LLM to extract entities, concepts and relationships, and builds a persistent wiki of typed pages that compounds over time. Unlike stateless RAG, every document that flows in adds to a shared knowledge structure your team can search, browse and audit.

Who is Pivotal designed for?

Pivotal is designed for knowledge-intensive teams in consulting, legal, financial services and professional services where institutional memory is a competitive advantage. It suits organisations that struggle to find decisions, precedents or expertise buried in document archives, or that lose knowledge when team members move on.

When will Pivotal be available?

Pivotal 4 shipped in Q2 2026 and is in Early Access now, with Pivotal 5 due in Q1 2027. It runs on your own infrastructure, and access control is still being built, so early access installs are deployed inside your network. Join the waitlist to get the current early access build.

How does Pivotal differ from standard RAG?

Standard RAG is stateless: every query searches documents cold with no accumulated understanding. Pivotal builds a persistent wiki from your documents, extracting typed pages such as entities, concepts, decisions and summaries. Knowledge compounds with every ingestion, a grounding score tracks citation validity, and a nightly LLM audit flags contradictions and stale facts so you know which pages to trust.

What are Pivotal's key technical capabilities?

Pivotal features LLM-powered entity and concept extraction on ingestion, an agentic workflow engine with skill-based recipes and a human review queue, hybrid keyword and semantic search with reranking, a knowledge graph and topic map for visual exploration, multi-space support for organisation and project spaces, and chat with follow-up questions, research memos and side-by-side comparisons, all with inline citations grounded in your own documents.

How do I get early access to Pivotal?

Join the Pivotal early access waitlist to register for the current access build. Join Early Access.

Build Your Organisation's Memory

Pivotal is in early access. Join the waitlist to be among the first teams to deploy a knowledge base that compounds.