Learns your business.
Acts on it.
Learning agents resolve your data into living artifacts: an entity graph, lineage, operational knowledge, event memory. Action agents run on them: data quality, billing, cross-sell, churn. Inside your cloud, sharper every cycle.
Every system, in minutes.
CRM, billing, ticketing, communications, warehouses, web data. Agents build the pipelines and map the schemas themselves; your team starts with context, not a project.
Every entity, connected.
"National Riverbend Services" exists as five records in five systems: different names, formats, IDs. Uniforge discovers they're the same entity and links them. No rules to write; frontier models do the resolution.
Quality you can trust.
Conflicts, missing records, stale data, duplicates, found automatically across connected systems. Review, accept, or dismiss. Findings export as audit evidence.
Enriched with the web.
Beyond internal systems: entities are enriched with company information, industry classification, news, and financial signals from the open web. Context gets richer without you lifting a finger.
ML that builds itself.
Uniforge scans your data, identifies which ML problems are worth solving, quantifies the value, and builds the models autonomously, from opportunity to live pipeline.
Your team, on the model.
Employee AI is our enterprise interface to the platform: your people ask questions across every connected system in natural language, analyse, build, and deploy on the resolved context. Every answer comes with confidence scores and data provenance, under the controls enterprise work demands.