Early Access

Add a privacy layer before sensitive Korean text reaches your LLM

AegisText helps teams sanitize customer or internal text before summarization, classification, retrieval, or storage — without rebuilding the rest of the pipeline.

The blocker is rarely the model — it's the raw text

Support logs, CRM notes, internal docs, and operational text often still contain names, phone numbers, addresses, and identifiers. Teams want to ship summarization, classification, or retrieval features, but hesitate to send raw text to external LLMs. Manual redaction slows teams down, and internal approval can stall rollout even further.

rocket_launchWant to ship AI features on real text
lockCan't pass raw logs or notes downstream with confidence
constructionDon't want a heavy re-architecture just to sanitize text

Fit a privacy layer into the workflow you already have

1
description

Send text

Send support logs, notes, or free-form text into AegisText

2
security

Detect & sanitize

Detect and sanitize supported personal information entities

3
smart_toy

Pass downstream

Pass sanitized text into your LLM, retrieval flow, or storage pipeline

4
output

Map back

Optionally map outputs back into your product workflow

AegisText is designed to sit in front of the rest of your pipeline, not replace it.

Preview how sensitive text is sanitized before it reaches your LLM

Paste a customer message, support note, or Korean text sample to preview detected entities and sanitized output.

Sample output only. Hosted API is the fastest way to start. If you need private deployment, tell us in the access form.

Common starting points for teams working with sensitive text

headset_mic
Most commonsupport_agent

Customer support log summarization / classification

Sanitize names, phone numbers, addresses, and identifiers before sending tickets, chats, or support notes to an external LLM.

neurology
dataset

RAG preprocessing

Clean sensitive text before indexing documents, tickets, or operational text into retrieval systems.

description
security_update_good

Internal text sanitization

Prepare internal notes, reports, or free-form text before model inference, sharing, or downstream processing.

Current entity support

Start with the entity types most commonly found in Korean support and operational text.

personPerson NamecallPhone Numberhome_pinAddressfingerprintResident Registration Number

Need additional entities? Tell us in the access form.

Frequently asked questions

Is AegisText only for support logs?expand_more
No. Support logs are a strong early fit, but teams exploring RAG preprocessing, internal notes, and other Korean text workflows can also evaluate it.
Does AegisText store raw text?expand_more
AegisText is designed around processing text and returning sanitized output, rather than building a long-term raw-text repository.
How should we think about deployment?expand_more
Hosted API is the fastest way to start. If you need private deployment, share that requirement in the access form.
Which entities are supported today?expand_more
Person names, phone numbers, addresses, and resident registration numbers are currently in scope.

Request access and tell us what you're evaluating

We're working with early teams using LLMs on customer or internal text. Share your role, current blocker, and timeline, and we'll follow up with the most relevant starting path.