
Octofact is an alternative data provider serving investors and enterprises, turning the open web into structured, continuously updated datasets teams can measure activity directly rather than infer from lagging indicators. Traditional collection is fragile by design — a site redesign or a schema change can silently break a feed and leave a dataset dark for weeks — so since 2022 we've solved it at the infrastructure layer: autonomous pipelines monitor thousands of sources, detect anomalies as they appear, and repair failures automatically before downstream users notice. Every time series is continuous, gap-free, and point-in-time, with transparency into how each data point was collected and validated, giving investors a foundation for research, screening, portfolio monitoring, and alpha generation, enterprises one for competitive intelligence and market tracking, and AI agents a live source to ground their answers in.

Octofact is an alternative data provider serving investors and enterprises, turning the open web into structured, continuously updated datasets teams can measure activity directly rather than infer from lagging indicators. Traditional collection is fragile by design — a site redesign or a schema change can silently break a feed and leave a dataset dark for weeks — so since 2022 we've solved it at the infrastructure layer: autonomous pipelines monitor thousands of sources, detect anomalies as they appear, and repair failures automatically before downstream users notice. Every time series is continuous, gap-free, and point-in-time, with transparency into how each data point was collected and validated, giving investors a foundation for research, screening, portfolio monitoring, and alpha generation, enterprises one for competitive intelligence and market tracking, and AI agents a live source to ground their answers in.
Octofact is an alternative data provider serving investors and enterprises, turning the open web into structured, continuously updated datasets teams can measure activity directly rather than infer from lagging indicators. Traditional collection is fragile by design — a site redesign or a schema change can silently break a feed and leave a dataset dark for weeks — so since 2022 we've solved it at the infrastructure layer: autonomous pipelines monitor thousands of sources, detect anomalies as they appear, and repair failures automatically before downstream users notice. Every time series is continuous, gap-free, and point-in-time, with transparency into how each data point was collected and validated, giving investors a foundation for research, screening, portfolio monitoring, and alpha generation, enterprises one for competitive intelligence and market tracking, and AI agents a live source to ground their answers in.