Connect Seekra to your existing document stores — and your contracts, policies, case files, and scans become a private assistant you can ask, search by image, or speak to in Arabic or English. Every answer cited to its source, every PII masked, every action auditable, every document scoped to your organization.
Critical information lives inside thousands of PDFs, scans, and Office documents that no one can effectively search. Staff spend hours locating a single clause, and institutional knowledge walks out the door when experienced employees leave.
Mainstream AI assistants ask you to upload your documents to their servers. For government, legal, healthcare, and financial work, that is often non-negotiable — the data cannot leave your jurisdiction or your network.
When an AI produces an answer with no link to where the information came from, it cannot be verified. In regulated environments, an unverifiable answer is the same as no answer at all.
Staff type a question in plain language and Seekra responds with an answer drawn from the organization’s own documents. Every claim in the response is marked with a numbered citation that links to the exact source document and page, opening instantly in the built-in viewer.
Upload a photo, scanned image, or screenshot, and Seekra finds visually similar items across the entire archive using image similarity. Each result shows a similarity score and a label describing what the image most likely shows, plus the documents it relates to.
Seekra supports full voice interaction — speech in, spoken answers out. Arabic is a first-class citizen, with correct right-to-left rendering and Arabic-capable fonts. English sits alongside it with full parity, not as a translated afterthought.
Seekra enforces access at the deepest layer of the system — when a user searches or asks a question, the results they receive are filtered before they ever reach the screen. A user in one department cannot see another department’s confidential documents — not because the interface hides them, but because the system never retrieves them in the first place. Even if they knew a document’s name and tried to open it directly, access would be denied.
Mirror your organization as a tree of companies, departments, and teams. Documents scoped to a node are visible only to users in that subtree — access flows down, never sideways.
Every document is Public, Internal, Confidential, or Restricted. Each user sees only documents at or below their clearance level — enforced behind the scenes, not just hidden in the interface.
Grant a user read access to a specific document outside their subtree — without elevating their overall clearance. The grant takes effect immediately on the next search.
When an employee leaves, deactivate their account and their existing sessions are rejected instantly. Their row is preserved for audit, so historical activity still references them — but they cannot log in.
Administrators and auditors bypass classification. Every access decision is recorded in the tamper-evident audit trail.
Why this matters: regulated industries require need-to-know access control with auditable access decisions. Seekra delivers this without the operational overhead of per-document permission lists — the organization tree plus four classification levels covers the vast majority of access policies in a few minutes of setup.
The most common question after a demo is “how do I get my tens of thousands of documents in?” — and the answer used to be “manually, one at a time.” Seekra’s connector framework pulls from your existing document sources automatically, with incremental sync, conflict resolution, and automatic scoping based on the folder structure you already have.
Point Seekra at a shared drive or mounted folder — new and changed files are picked up automatically, with the right scope and classification applied based on the folder path.
Connect to a SharePoint site or OneDrive folder. Folder structure maps to your organization tree, so the right people see the right documents.
Service-account authentication. Reconstructs Drive paths from the parent chain so you can scope by folder. Shared drives supported.
Sync from any S3 bucket by prefix. Resumable for large archives (tens of thousands of files).
Connection-string authentication. Incremental sync detects changes via storage versioning metadata.
Service-account authentication. Same incremental sync logic as Amazon S3.
Same sync engine as the other object stores — no separate setup.
For legacy shared-host environments where files arrive over secure file transfer. Polls the remote tree on a schedule.
Forward messages to a dedicated ingest address — attachments are added to the library automatically, scoped by the sender’s domain.
Seekra tracks what has already been ingested and only fetches new or modified files. Changes to a source file are detected and pulled in on the next sync cycle.
When a source file is modified, Seekra creates a new version of the document — the previous version is preserved. If the Seekra copy was also edited, a conflict is flagged for review.
Folder paths in the source map to your organization tree. A file in "/Finance/Reports/" is automatically scoped to the Finance team — no manual classification step.
Connectors run with administrator privileges for ingestion, but the documents they pull in are still subject to the same org-tree scoping and classification rules as any other document.
In practice: a typical enterprise onboarding starts with one connector pointed at a shared drive or SharePoint site. Within a sync cycle, the library is populated, scoped, and searchable. Additional connectors are added as more teams come on board.
Not every question needs the same depth of research. Seekra offers three answer modes — standard for fast Q&A, agent for multi-step lookups, deep for comprehensive multi-pass synthesis — plus an automatically-built knowledge graph that understands the people, organizations, and locations in your documents.
The default — one retrieval pass, one synthesis step. Right for most questions: “what does the policy say about X?”, “summarize this contract”, “find the clause about Y”.
For questions that need more than one lookup. Seekra’s planner picks from a small set of internal tools — search, list, summarize, find entities, compare documents — and runs them in sequence, then synthesizes the answer.
For complex questions that span many documents. The question is broken into focused sub-questions; each runs its own retrieval pass; chunks found by multiple passes rank highest; a comprehensive multi-section answer is synthesized.
Seekra automatically identifies people, organizations, and locations in every document — in Arabic and English — and infers relationships between them. The graph updates on every upload, with no manual tagging.
People, organizations, and locations are identified in every document during indexing — in Arabic and English. No one tags these relationships manually; the graph builds itself.
When two entities appear together in a document, Seekra infers a relationship between them. The graph updates every time you add a new document — your enterprise knowledge graph is always current.
Ask “who works on the flagship project?” and Seekra recognizes the names and the project as entities, then traverses the graph to find the answer — not just keyword matching, but content-aware understanding.
Six governance pillars, all in production. Few platforms offer this combination — and we can prove each one with a live audit-trail query during the demo.
Every action — login, search, chat, upload, scope change, override grant, user deactivation — is recorded and hash-chained. Any retroactive edit breaks the chain, detectable on demand. Concurrent writes are safe under load.
When personal data is masked before an AI call, the event is logged with a masked sample. Prove to a regulator that no raw personal data ever left your tenant. Aggregate counts surface repeated findings at a glance.
Trace any answer through the full pipeline: question, retrieval, AI synthesis, final response. Each cited chunk shows a confidence score. Click any citation to open the source at the exact page or timestamp.
People, organizations, and locations are identified and linked automatically. Ask “who works on the flagship project?” and Seekra traverses the knowledge graph — not just keyword matching, but content-aware understanding.
A tree of companies, departments, and teams. Documents scoped to a node are visible only to users in that subtree. Four classification levels (Public / Internal / Confidential / Restricted) plus per-user clearance.
When an employee leaves, deactivate their account and their existing sessions are rejected instantly — no grace period. Their row is preserved for audit, so historical activity still references them.
Different tools solve different problems. General-purpose AI assistants excel at open-ended questions but were not built for regulated document archives. Traditional enterprise search keeps data inside your perimeter but stops at keywords. Seekra brings the natural-language, cited-answer experience of AI together with the residency, scoping, and auditability that regulated industries require — in one platform.
| Capability | Seekra | Cloud AI | Legacy Search |
|---|---|---|---|
| Data residency inside your infrastructure | ✓ Yes | ✗ No | ✓ Yes |
| Air-gapped / offline option | ✓ Yes | ✗ No | ✓ Yes |
| Org-tree scoped access (company/department/team) | ✓ Yes | ✗ No | Partial |
| 4-level document classification + per-user clearance | ✓ Yes | ✗ No | Partial |
| Cross-scope override grants (without elevating clearance) | ✓ Yes | ✗ No | ✗ No |
| Data connectors (SharePoint, Drive, S3, Azure, GCS, SFTP, OSS, IMAP, local) | ✓ Yes | Partial | Partial |
| Local folder auto-ingest (drop file → indexed automatically) | ✓ Yes | ✗ No | Partial |
| Source-side conflict resolution + versioning | ✓ Yes | ✗ No | ✗ No |
| Natural-language Q&A with page-level citations | ✓ Yes | ✓ Yes | ✗ No |
| Agent mode (multi-step research using internal tools) | ✓ Yes | Partial | ✗ No |
| Deep answer mode (multi-pass research for complex questions) | ✓ Yes | Partial | ✗ No |
| Auto-extracted entity knowledge graph (Arabic + English) | ✓ Yes | Partial | ✗ No |
| Visual / image search | ✓ Yes | Partial | ✗ No |
| Voice-driven document navigation (Arabic + English) | ✓ Yes | Partial | ✗ No |
| PII masked at source (before any AI call) | ✓ Yes | Partial | ✓ Yes |
| PII lineage tracking (prove no raw PII left tenant) | ✓ Yes | ✗ No | Partial |
| Tamper-evident audit trail (hash-chained) | ✓ Yes | ✗ No | Partial |
| Provenance graph (full answer traceability) | ✓ Yes | Partial | ✗ No |
| Confidence-aware answers (relevance scores per source) | ✓ Yes | Partial | ✗ No |
| Document version diff | ✓ Yes | ✗ No | Partial |
| Abstention rather than hallucination | ✓ Yes | Partial | ✓ Yes |
| Single sign-on + automated user provisioning (major identity providers) | Partial | ✓ Yes | Partial |
| Offboard employees with immediate access revocation | ✓ Yes | Partial | ✓ Yes |
"Cloud AI" refers to general-purpose AI assistants offered as public services. "Legacy Search" refers to traditional keyword-based enterprise search platforms. "Partial" indicates that a capability is available but may require additional configuration, partner integration, or addresses the requirement only in part.
Seekra runs in three deployment tiers — from cloud-native to fully air-gapped — so you choose exactly where the AI runs and how isolated your environment is. The platform stays the same; only the AI location and network exposure change. All three tiers support single sign-on and the full feature set.
Seekra runs in your cloud tenant and can leverage industry-leading external AI models, with PII automatically masked before any external call. Best AI capability, fastest to deploy.
Seekra runs entirely on your own infrastructure — cloud VM or on-premises servers — with AI models hosted locally. Full data sovereignty. Nothing leaves your network.
Fully isolated self-hosted deployment with no external network connection. For classified, sovereign, or maximum-security workloads where even update traffic is not permitted.
Single sign-on integration with major cloud and on-premises identity providers. New hires are provisioned automatically based on their identity-provider group membership; offboards propagate within minutes. A fallback local login is available for break-glass administrators.
No pricing is published. Deployment tier and scale are discussed in person during the demo.
Sovereign archives, classified document handling, Arabic-first citizen services, complete audit trail.
Case-file Q&A with verifiable citations. Privileged-document isolation. Read-only auditor oversight.
Policy and contract search across thousands of documents. Personal information redacted before AI.
Patient record Q&A, image-based diagnostic search, on-prem deployment for HIPAA-equivalent rules.
Field inspection photos searchable by image. Arabic-first operations documentation. Air-gapped option.
Arrange a live demo on a sample of your own documents. We will walk your team through Ask, See, Speak, and Trust — and answer every question about deployment, security, and integration.