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Answers Your Teams Can Trust, Grounded In Your Own Documents.

Your organization's knowledge is scattered across PDFs, Word documents, shared drives, and wikis. Scalex Context AI turns those documents into trusted, searchable knowledge that powers AI assistants, internal search, and business workflows—with every answer linked back to its original source.

✓ Source-Backed Answers
✓ Always Up-to-Date Knowledge
✓ Find Information Faster
✓ Enterprise-Grade Data Privacy

Book a walkthrough on your own content and watch source-backed answers in seconds.

The Problem

Your knowledge is everywhere and hard to trust.

Your knowledge is scattered across files, shared drives, and wikis — and the AI tools meant to surface it answer from memory, not from your actual documents. The result is answers you can't trust, can't act on, and can't keep current.

Answers you can't trace: Results sound right but cite nothing, so teams waste time verifying them, or act on the wrong information.

Knowledge that goes stale: The moment a source changes, answers fall out of date — and no one knows which ones.

Missed by simple search: When wording differs ("money back" vs. "reimbursement"), keyword-only search returns nothing, and the right passage never surfaces.

The Solution

From raw documents to trusted, sourced answers.

Everything Scalex Context AI does falls into two jobs: Ingestion, how it learns from your documents, and retrieval, how it answers a question. Ingestion runs once per document in the background; retrieval runs on every query, in a fraction of a second.

Ingestion — Bringing your knowledge in

Before it can answer anything, the engine reads and indexes your source material. This runs once per document, in the background, so your knowledge is ready the moment a question comes in.

Connect

Bring in your documents by uploading files, adding links, or connecting a source like Google Drive, OneDrive, or Confluence.

Parse & Understand

The engine reads everything in each document — not just text, but tables and images too, including scanned pages — so no content is left behind.

Chunk

Each document is broken into small, self-contained passages, sized to give precise answers while still making sense on their own.

Embed

Every passage is turned into a searchable form that captures both its meaning and its exact wording, so it can be found either way.

Index & store

The processed passages are saved in your own private, isolated space, ready to be searched.

Retrieval — Answering A Question

When a question comes in, the engine finds the right passages almost instantly. It searches by meaning and by exact terms at once, sharpens the results, and returns them with their source — all in a fraction of a second.

Query

A question comes in and is matched only against your own knowledge.

Hybrid search

The engine searches two ways at once: by meaning, to catch the same idea in different words, and by exact wording, to catch specific terms, names, and codes.

Fusion

The results from both searches are combined into a single, balanced ranking.

Re-ranker

A closer second pass re-reads the top results and moves the most relevant ones to the top.

Results returned

The best-matching passages come back, each with its source — the document and page it came from.

Business Impact

What changes once it's in place.

Reduce Time Spent Searching For Information

Answers arrive in seconds instead of digging through folders and wikis.

Improve AI Answer Accuracy

Grounding every response in your real documents keeps AI assistants honest.

Accelerate Employee Onboarding

New hires get instant, sourced answers instead of waiting on teammates.

Enable Trusted Enterprise Search

Every result is traceable, so search becomes something teams rely on.

Turn Disconnected Knowledge Into An Organizational asset

Scattered files and drives become one searchable, current source of truth.

Our Core Capabilities

What Makes It Different.

Multi-Modal Ingestion

Reads text, tables, and images (with OCR), so no content type is left behind.

Re-Ranker

A cross-encoder takes a second-opinion pass over the top candidates and re-orders them for precision.

Partition Isolation

Your knowledge lives in its own partition; one account can never retrieve another's content.

Hybrid Search

Semantic and keyword search run together, so results hold up whether the wording matches or not.

Live Connectors

Connected sources re-sync on their own, roughly every four hours — new files added, edits refreshed, deletions cleared. A manual "sync now" is available any time.

Source-Grounded

Every result returns with its document and page, so answers are always traceable.

Use Cases

What you can build on it

Chat assistant

Answer employee or customer questions from your own documents, with the source shown every time. Think internal help desks, policy and HR Q&A, customer support, and onboarding.

Workflow automation

Let automations act on current knowledge — routing, drafting, checks, and summaries that always work from the latest version of your documents.

Search & discovery

Give teams precise, traceable search across large or messy document sets, including contracts, manuals, and reports with tables and diagrams.

See it run on your own documents

Who it's for

Made for teams that run on documents.

Product & engineering teams

Building AI features who'd rather not build and maintain a retrieval pipeline from scratch.

Support & customer-experience teams

Who need answers that are current and traceable, not guesses.

Operations & knowledge managers

Sitting on large, constantly changing document bases.

Compliance-minded teams

Who need every answer tied back to a source.

Industries & Domains

Built for knowledge-heavy industries.

Legal

Search contracts and case files with citations traceable to the page.

Financial services

Query policies, filings, and reports with a clear audit trail.

Healthcare & life sciences

Retrieve clinical, regulatory, and compliance documents, source-backed.

Customer support

Answer from help content that stays in sync with the source.

Manufacturing & technical

Search manuals, specs, and diagrams — tables and images included, thanks to multi-modal ingestion.

Professional services

Turn scattered project knowledge into searchable, trustworthy memory.

Talk to us about your use case

The Scalex Engagement Model

Your path from first connection to production.

We build Scalex Context AI for your stack as a focused engagement.

Weeks 1

Connect & ingest

Connect your sources — upload files, add links, or set up a Drive / OneDrive / Confluence connector — and run the first ingestion.

Weeks 2 - 3

Validate & tune

Test retrieval against real questions and refine until the results are consistently on point.

Weeks 4

Go live

Connect Scalex Context AI to your chat or workflow tools and move into production, with connectors keeping everything fresh.

Frequently Asked Questions

If you can't find what you're looking for, please reach out to our team for further assistance.

Files (PDF, Word, PowerPoint and more), links, and connected sources. It's multi-modal — text, tables, and images/scans (via OCR) are all read and made retrievable.

No. Ingestion, indexing, hybrid search, and re-ranking are all handled — you connect your sources and query the engine.

Connected sources re-sync on their own, roughly every four hours: new files are added, edits are refreshed, and deletions are cleared. You can also trigger a "sync now" at any time.

Hybrid search handles it. Semantic search catches the same meaning in different words, while keyword search nails exact terms and names — the two run together.

Every result is a scored passage returned with its source — the document and the page — so any answer can be traced back to a real place in a real document.