Mobasi offers an AI‑driven investigations platform that ingests and normalizes disparate evidence sources—such as mailboxes, chat logs, cloud drives, and IoT data—into a single searchable record set. Its AI agent accelerates threat, fraud, and digital incident analysis while maintaining a transparent, defensible audit trail, and the system can be deployed in the customer’s VPC to keep data on‑premises.
Funding
Funding not disclosed
Founders
Product
Problem
Investigations of threats, fraud, insider departures, and digital incidents involve evidence scattered across mailboxes, chat logs, cloud drives, device images, vehicle telemetry, and IoT sensors, each in different formats and stored by multiple custodians. This fragmentation forces analysts to manually collect, parse, and correlate data, leading to slow response times and a high risk of missing critical links.
Solution
Mobasi offers an AI‑driven investigations platform that ingests a wide range of evidence types—mailboxes, chat exports, cloud storage, disk images, mobile photos, vehicle data, and IoT logs—and normalizes them into a single searchable record set. The platform orchestrates hundreds of forensic tools (parsers, OCR, vision, geocoding, hash matching, YARA, memory analysis, timeline correlation) to extract and enrich data automatically. Users interact with an AI interface, Atlas, to ask open‑ended questions that guide the system in correlating information across sources, surfacing leads up to ten times faster than manual workflows. Every finding is linked to its source artifact and verification steps, providing a transparent, defensible audit trail. The solution can run in the customer’s VPC or on Mobasi’s cloud, ensuring evidence never leaves the organization’s control.
Target Audience
Primary users are digital forensics teams, security operations centers, and internal investigation units in enterprises and government agencies that need to process heterogeneous evidence quickly and maintain a defensible audit trail.
Features
- Unified ingestion pipeline that accepts mailboxes, disk images (E01, UFDR), PST, SQLite, Excel, PDFs, media libraries, and raw IoT databases, normalizing them into a searchable index
- AI‑powered question‑and‑answer interface (Atlas) that drives forensic tool orchestration and automatically generates leads based on user queries
- Integrated suite of forensic capabilities including OCR, vision analysis, geocoding, hash matching, YARA scanning, memory analysis, and timeline correlation
- On‑the‑fly parsing of unsupported or novel applications, enabling analysis of emerging messengers, custom IoT logs, and ChatGPT export formats
- Full auditability with citation, command, source artifact, and verification metadata visible from initial input through final report
- Deployment flexibility: runs within the customer’s VPC or on Mobasi’s cloud with zero data retention and no model training on customer files