

DotAI brings Large-Language-Model power behind the firewall—giving enterprises a multimodal co-pilot that drafts, answers, retrieves, and records with the security, compliance, and ownership they demand.
Handles text, images, audio, and structured data in one engine—extending AI assistance from documents to slide decks, screenshots, and meeting recordings.
Handles text, images, audio, and structured data in one engine—extending AI assistance from documents to slide decks, screenshots, and meeting recordings.
Capital expenditure model eliminates recurring SaaS fees and simplifies budget approval for public sector and regulated industries.
Runs entirely inside your data centre or private cloud, keeping proprietary data off public servers and under sovereign control.
End to end AES 256, role based access, and immutable audit logs preserve confidentiality and ensure provable chain of custody.
Built in consent tracking, automated data subject access workflows, and PHI masking accelerate regulatory audits.
Kubernetes containers scale nodes across racks or add GPU memory vertically—supporting spikes in simultaneous prompts without latency creep.
Drafts letters, replies to emails, analyses keywords, and summarises long reports—freeing staff for higher value work.
Natural language queries surface policies, contracts, and facts with citation links, reducing time to answer for legal and operations teams.
Records audio, transcribes in real time, extracts action items, and schedules follow ups—turning discussions into executable agendas automatically.