Building private AI systems for better enterprise decisions.
microLM was created around a simple idea: organisations should be able to use their own data, context, and history to make better decisions with AI.
Most enterprise knowledge is trapped across systems, documents, reports, workflows, and years of institutional experience. Generic AI tools can help at the surface, but they often lack the context, structure, and domain alignment needed for real operational decision-making.
We are building a different kind of AI company: one focused on private language models, enterprise decision engines, and copilots grounded in how organisations actually work.
Enterprise decisions need context that generic public models do not naturally carry.
AI should reflect the language, rules, workflows, and metrics that shape each business.
Operational teams need answers they can trust, inspect, and act on.
Good AI should support action, not just conversation.
Domain-specific model layers tailored to how the organisation operates.
Role-aware decision support that turns fragmented history into usable operational guidance.
Structured diagnostic, predictive, and prescriptive workflows built for action.
Canonical context and intelligence layers shaped by industry and workflow realities.
Practical pilots for high-value use cases with measurable business outcomes.
We are actively exploring relationships across the innovation, enterprise AI, and commercialization ecosystem to support pilots, partnerships, and go-to-market growth.
If you are working on enterprise transformation, sector innovation, or commercialization pathways for applied AI, we are open to collaboration.
