Streemview

Cloud-native Early Case Assessment (ECA) and investigative platform purpose-built for mobile and modern data eDiscovery. Product of Downstreem LLC (Phoenix, AZ), a professional digital forensics practice founded by forensics experts — consultancy-to-product evolution means the tool was built by practitioners. StreemView launched March 2023. Seed funded Aug 2022 (undisclosed). 9 employees. Differentiator: purpose-built for mobile device data, chat messages (including Slack token-aware solutions), collaboration tool data — not retrofitted document review. Features: generative AI for rapid fact discovery, conversational search (patent pending Apr 2023), cross-device deduplication, auto-classification, video surveillance review. Built on Microsoft Azure with Azure security features. Hybrid deployment: SaaS platform for self-service review plus managed forensics services from Downstreem. Freshdesk support portal, 5-day email training course, user manual included. ‘Easy-to-use interface similar to a mobile app’ (BusinessWire). Partnerships: Pinpoint Labs (CrossCopy for defensible mobile collections with chain of custody), ModeOne (remote smartphone data collection), ACEDS Emerging Partner (Oct 2025). Active conference presence: Legalweek 2025 (eDJ brief), Legalweek 2026 (CPO + VP Sales attending), Cimplifi joint presentation (Feb 2026). Reddit: 3 mentions in r/ediscovery — recommended as Relativity alternative for forensic data review, .rsmf support, smartphone collections (one commenter likely vendor-affiliated). Designed to work upstream of Relativity — ECA and culling before data enters review platform. Narrow use case: specifically mobile device and modern data, not general document review. No Capterra/G2 reviews. Pricing not publicly disclosed.

Company Info

• Founded: 2023
• Team size: 1-10 employees
• HQ: United States

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.