Olumi offers a science‑powered decision‑enhancement platform that aggregates data from internal and external sources, applies machine‑learning analytics, and delivers real‑time, actionable insights within collaborative tools. By providing predictive scenario modeling, ranked recommendations, and annotation features, it helps enterprise product, strategy, and operations teams make faster, more objective decisions and improve team alignment.
Funding
Funding not disclosed
Founders
Product
Problem
Teams often struggle to make data-driven decisions quickly due to fragmented information sources, cognitive biases, and limited analytical capacity, leading to suboptimal outcomes and slower execution.
Solution
Olumi provides a science‑powered decision‑enhancement platform that aggregates relevant data, applies advanced analytics, and delivers actionable insights directly within collaborative workflows. The system uses machine‑learning models to surface patterns, forecast outcomes, and rank options, helping teams evaluate alternatives more objectively. Insights are presented in real‑time dashboards and integrated with common collaboration tools, enabling members to discuss, annotate, and align on decisions without leaving their workflow. By continuously learning from user feedback and outcomes, Olumi refines its recommendations, supporting faster, more consistent decision cycles and stronger team performance.
Target Audience
Olumi targets mid‑size to large enterprises, including product, strategy, and operations teams that require data‑driven decision support within collaborative environments.
Features
- Unified data ingestion from internal databases, SaaS tools, and external APIs for a single source of truth
- Predictive analytics and scenario modeling powered by machine‑learning algorithms
- Real‑time recommendation engine that ranks options based on defined business objectives
- Interactive dashboards and visualizations that embed into collaboration platforms (e.g., Slack, Teams, Miro)
- Annotation and consensus‑building tools that allow team members to comment, vote, and document rationale
- Continuous learning loop that updates models based on decision outcomes and user feedback
- Enterprise‑grade security, role‑based access control, and audit logging for compliance