We manage the AI stack behind the scenes – you stay focused on customisation and results
Trismeg combines AI Agents, RAG, and intelligent Assistants in one platform powered by context and memory. It doesn’t just answer – it understands, remembers, and adapts, giving enterprises a smarter way to work.
Trismeg AI
Cut Costs, Not Innovation. All Your AI in One Platform.
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Most AI tools cover only part of the pipeline — for example, model hosting, vector search, or an AI Assistant or Agent enhanced with your data but with little control over its behaviour. Model choice is often limited, existing solutions cannot be deeply customised, and there is no access to AI architects to help turn your idea into reality. Trismeg brings the entire AI lifecycle into one platform, from data preparation and model integration to orchestration, monitoring, and optimisation. You can deploy it hosted or self-hosted, run open-source or commercial models, and benefit from enterprise-grade security and compliance.
We offer a GDPR- and SOC 2–ready architecture, role-based access control, OAuth, SSO, multi-tenant support, and full audit logs — so your data stays secure and under your control.
Yes. Trismeg is delivered as containerised services that run in your cloud or on premises. You keep full control of infrastructure and data location with the same features, flexibility, and security in both setups. Deploy once, then move or scale across environments as needed.
You can run open-source models, commercial LLMs, or a combination of both, in either hosted or self-hosted deployments. The platform supports model versioning, A/B testing, and orchestration of multiple models in complex workflows.
Yes. You get real-time dashboards, logs, usage analytics, and cost tracking, along with tools to monitor vectorisation performance and evaluate model results.
Yes. Trismeg includes a library of ready-made connectors and supports custom integrations through API, WebSocket, and MCP (Model Context Protocol). This allows you to link seamlessly with your systems, products, and data sources, ensuring smooth AI workflows and real-time context sharing.
Trismeg can process and vectorise a broad range of data types, including:
Text — documents, wikis, FAQs, code, transcripts
Structured data — CSV, JSON, spreadsheets, databases
Unstructured files — PDFs, HTML, Word, and similar formats
Multimedia — images, audio, video (via transcription or captions)
Educational content — lesson plans, course materials, e-learning modules, training manuals, SCORM/xAPI packages
Web content — websites, APIs, dynamic feeds
We also support custom data types on request, so you can vectorise any format essential to your workflows.