Privacy-first AI assurance
Full data sovereignty; sensitive IP never leaves your boundary, with a fully containerised, air-gapped mode for offline operation.
Private-First Multimodal AI Knowledge
AegisMultimodal
Enterprise AI knowledge that never leaves your boundary.
AegisMultimodal is an enterprise-grade AI knowledge platform that reads, manages, queries, edits, recreates, and version-controls multimodal content — text, images, audio, video, spreadsheets, and database feeds — from disparate sources. Unlike conventional SaaS AI tools that send proprietary data to public cloud APIs, it is built on a Private-First Architecture: local open-weight models run on your own infrastructure, and where commercial LLMs are used at all, they are reached only through dedicated single-tenant endpoints behind a local PII-sanitisation proxy under strict zero-data-retention terms.
Primary buyers:
- Defence & Government
- Healthcare
- Legal
- Financial services
Why AegisMultimodal
Core capabilities
True multimodal RAG
Search, query, and chat across text, tables, charts, images, audio, and video, with layout-aware parsing, local OCR, Whisper speech-to-text, and cross-lingual retrieval.
ACL-aware retrieval
Chunk-level access-control enforcement means unauthorised content never enters the LLM context window.
Git-style content versioning
Branches, merges, commits, and a multimodal diff viewer track every revision, prompt history, and source-document lineage.
AI-assisted recreation
Turn a PDF report into a slide deck, a raw video into a summary, or a spreadsheet into an executive brief, with style-guide enforcement and local image generation.
Explainable retrieval
A RAG-Triad evaluator scores context relevance, groundedness, and answer relevance before a response is shown, backed by a tamper-proof local audit trail.
The platform
Built private-first, from the ground up
AegisMultimodal targets privacy-sensitive enterprises where data sovereignty is non-negotiable — defence and government, healthcare, legal, financial services, and any organisation handling regulated or high-value intellectual property. It supports GDPR right-to-be-forgotten, HIPAA BAA mapping, and SOC 2 Type II logging, and ships with hardware-sizing guidance for on-premise GPU deployment.
It is deliberately web-first and self-hosted, with a public multi-tenant SaaS explicitly out of scope — reinforcing its private-first promise. Its primary personas are the knowledge worker / analyst, the content creator / designer, the compliance / security officer, the platform / ML engineer, and the knowledge manager / editor.
Why private-first holds
- Local open-weight models — running on your own infrastructure.
- PII-sanitisation proxy — for any use of a commercial LLM.
- Zero-data-retention terms — on every single-tenant endpoint.
- Fully air-gapped mode — containerised for offline operation.
- Tamper-proof local audit trail — every retrieval and answer recorded.
Get in touch
Ask anything of your data — without your data leaving.
See private-first multimodal RAG running on your own infrastructure.
Portfolio