AI Knowledge Management Software

Pick your organization, see the questions stop repeating

Policy and guidance, answerable. Directives, manuals and program records searchable together, with every answer citing the document it came from.

Inside your boundary. On-premises, private cloud, or fully air-gapped on local models.
Cleared by role. Results are trimmed to what each person is already permitted to see.
Sources on every answer. Each response points at the material it drew on.

Caseworkers stop hunting. Eligibility rules, program manuals and prior determinations answerable in one place instead of across binders and shared drives.

Plain-language questions. No query syntax, no training on a search grammar.
Escalates when unsure. Confidence thresholds hand off rather than guess.
Own models if required. Self-hosted LLMs where data cannot leave.

Clinical and administrative knowledge, together. Protocols, formulary and policy answerable at the point of the question, with the source shown.

PHI-aware. Detection across documents, transcripts and recognised text.
In your environment. Processing stays where your governance requires.
Cited, not asserted. Every answer names the document behind it.

Guidance that changed last quarter. Product, policy and regulatory material answerable with the source attached, which is what model-risk and third-party review ask for.

Explainable by construction. Each answer names the material behind it, rather than asserting it.
Deploy where security requires. Private cloud, on-premises or air-gapped instead of shared tenancy.
Desk and contact centre. The same knowledge answers an agent on a call and an analyst at a desk.

The wording that actually applies. Forms, endorsements and claims guidelines answerable at the point of the question, so adjusters stop paging through PDFs or asking a supervisor.

Consistent across adjusters. The same question returns the same cited answer, whoever asks it.
Every format indexed. Scanned forms, recorded statements and policy documents in one index.
PII-aware. Detection across documents, transcripts and recognised text.

One place students and staff can ask. Catalog, advising, financial aid and policy answered consistently, without a person re-answering the same question.

Branded and embedded. Sits on your own site as an overlay, in your colours.
Role-appropriate. Answers respect the permissions the asker already has.
Every format indexed. Documents, recordings and lecture video in one index.

The answer is in a recording nobody will watch. Meetings, training and SOPs indexed alongside documents, so the answer surfaces regardless of what it was stored as.

Multimodal by default. Video, audio, OCR text and metadata in a single index.
Hybrid ranking. Keyword and vector retrieval together, not one or the other.
Attach and ask. Bring a file into the conversation and question it directly.

What You Get

What changes when the answer has a source

Answers carry their source

Every response names the material it drew on, so a reader can go and check it rather than take the answer on trust.

CitationsGrounded answers

Video and audio are searchable too

Transcription and OCR put recordings, scans and documents in the same index, so the answer surfaces whatever format it was stored in.

Multimodal indexOCRTranscription

People see only what they already could

Results are trimmed to each person's existing permissions, so the assistant never becomes a way around access control.

Permission-trimmedSSORBAC

Keyword and meaning, together

Hybrid ranking runs exact-match and vector retrieval side by side, so a phrase you remember and a concept you half-remember both land.

Hybrid rankingSemantic search

It can decline to answer

Confidence thresholds decide when a question gets handed to a person instead of guessed at, and workflows route it there.

Confidence thresholdsHuman in the loop

Runs where your data has to stay

On-premises, private cloud or fully air-gapped, with self-hosted models when nothing may leave the environment.

Air-gappedSelf-hosted models

How It Works

From scattered knowledge to a cited answer

Bring the knowledge in

Documents, recordings, scans and existing repositories are ingested and indexed together, with transcription and OCR making the non-text sources searchable.

Ask in plain language

Staff question the material conversationally, attach a file to interrogate it directly, and carry context across a conversation rather than starting over.

Get an answer with its source

Responses cite the material behind them, respect the asker's permissions, and escalate to a person when confidence is low.

FAQ

AI knowledge management, asked and answered

What is AI knowledge management?

It is the practice of making an organization's own documents, recordings and records answerable in natural language, with each answer grounded in a specific source rather than generated from a model's general training. Analysts and vendors also describe this as generative AI knowledge management.

How is this different from a general-purpose AI assistant?

A general assistant answers from what it was trained on. This answers from what you gave it, using retrieval-augmented generation, and shows the material each answer came from. Where it has no grounding, confidence thresholds let it decline or escalate rather than produce a plausible answer.

Does it search video and audio, or only documents?

Both. Transcription and OCR put recordings, scanned material and documents into one index, so an answer can come from a meeting recording or a training video as readily as from a policy PDF.

Can people see things they are not allowed to see?

No. Results are permission-trimmed against the access each person already holds, through SSO and role-based access control, so the assistant does not become a route around existing controls.

Do the citations mean the answer is verified?

The citation identifies the material the answer drew on. Judging whether the statement follows from that source remains the reader's job, which is why the source is shown rather than hidden.

Can it run without an internet connection?

Yes. Deployment covers on-premises, private cloud and fully air-gapped environments, with self-hosted models for cases where no data may leave your infrastructure.

What happens when it does not know?

Confidence thresholds govern the boundary. Below it, the question is handed to a person through a human-in-the-loop step rather than answered speculatively.

Answers From Your Own Knowledge, With the Source Attached