Six connected capabilities — built to support investigators and analysts, not the other way around. Here's how they work, and how they work together.
DataSpace is the live intelligence workspace at the center of Hubstream ONE. It's not a dashboard or a report viewer — it's the canvas where investigators actually work. Every other capability feeds into it.
Traditional investigation tools lock you into one view at a time — a map, a timeline, a case list. DataSpace gives you all three simultaneously, and lets you switch between them without losing your place or your filters. As the investigation develops, the canvas adapts with it.
DataSpace is also where AI outputs land, where OSINT results attach, where entity connections surface, and where the audit trail is written. It's the shared operational layer every other capability builds on.
Plot incidents, suspects, and evidence locations on a live map. Cluster patterns, draw geofences, and surface geographic links between cases automatically.
See who is connected to whom, and how. Relationships between people, organizations, locations, and evidence are drawn and updated as the case develops.
Reconstruct the sequence of events across the full case — automatically assembled from evidence, communications, and logged activities.
Every view reflects the live case record. New evidence, new entities, and new AI outputs appear immediately — no refresh, no export, no waiting.
The AI Investigation Assistant handles the preparation work that consumes investigators' time — so they arrive at the analysis stage with structured, organized information instead of a pile of raw documents. Investigators remain in control at every step.
Document, image, video, or report enters the case
AI identifies type, pulls key entities, dates, and facts
Chronology, entity record, or summary — with source citations
Reads the draft, checks the sources, decides what's accurate
Approved items enter the case record; action is audit-logged
The AI runs inside your own dedicated system — not on shared Hubstream servers, not on external cloud services. Case data, evidence, and AI outputs never leave your organization's perimeter. Your information is never used to train models or shared with third parties.
Every AI query is scoped to the signed-in investigator's existing permissions. If an investigator can't see a file, the AI can't see it either. Access control governs the AI — not the other way around.
AI summaries, extractions, and chronologies automatically link back to the exact document or evidence they came from. Investigators can verify each item rather than simply trusting it — which means AI outputs hold up in legal proceedings and court.
Four more capabilities that work together inside DataSpace — each one designed around how investigators actually operate, not around how software is typically built.
Every entity in Hubstream — a person, organization, location, vehicle, or piece of evidence — is connected to every other entity it relates to. Panoramic Vision makes those connections visible in a unified view. Second- and third-degree relationships are surfaced automatically, without manual cross-referencing. As new information is added to the case, the network map updates in real time. Teams working the same case see the same picture, which means no one is working from a different version of the truth.
An investigator drops one identifier into a case — a username, email address, phone number, social media handle, or cryptocurrency wallet. Hubstream's OSINT enrichment runs that identifier across 200+ open-source intelligence sources and returns a complete subject dossier: linked accounts, exposed contact data, breach hits, cross-platform presence, and domain registrations. Everything attaches to the entity record with a source citation and chain-of-custody timestamp. The investigator doesn't open a new tab — it appears in the canvas.
Every action taken in Hubstream is written to an append-only audit log — who did it, when, and what changed. Every AI output cites the source document it came from. Every piece of evidence has a cryptographic hash that proves it hasn't been altered since collection. This isn't added at the end for legal purposes — it runs continuously from the moment a case is opened, which means investigators don't produce documentation separately. The record is built as they work.
The dashboard is not a static report — it's a live view of the operational picture. Active leads, case SLAs, incoming signals, and emerging patterns are surfaced in real time from the live case data. Dashboards are configurable by role — an analyst sees a different view than a supervisor, who sees a different view than an executive. Alerts route to the right person automatically, based on rules each team configures without IT involvement.
Responsible AI at Hubstream isn't a compliance checklist — it's a set of design constraints that shaped how the platform was built. These aren't features you turn on. They're structural.
The AI assistant produces proposals. Investigators approve them. Nothing the AI generates enters the case record without a human confirming it. This isn't a setting — it's how the workflow is constructed. There is no path to automated AI-driven decisions in Hubstream.
Every AI output in Hubstream includes a citation linking back to the source document it came from. Investigators don't have to trust the AI — they can verify it. This matters for courtroom admissibility and for protecting the investigator whose name is on the report.
Each Hubstream customer runs in a dedicated environment. The AI capability deploys inside that same environment — not on shared infrastructure. Your case data, evidence, and AI prompts are never commingled with another organization's data, and are never used to train AI models.
The AI only sees what the signed-in investigator is authorized to see. If a document is restricted to a specific unit, the AI cannot surface it to an investigator from a different unit — even in a summary. Access controls govern AI queries, not just human queries.
Hubstream ships with open investigative templates — complete data models, workflows, entity types, and integration maps — for the domains investigators work in every day. No form required to explore them.
The shared foundation every Hubstream template is built on. 6-stage workflow, 10 entity types, and the universal relationship map for any investigative team.
View template Law EnforcementFrom first report to case disposition. 6 stages, 12 entities, and add-ons for crime report intake and gang intelligence analytics.
View template Brand & IPFor brand protection and IP enforcement teams. Online monitoring through takedown coordination, customs seizure tracking, and global platform coverage.
View template Enterprise & Law EnforcementFor digital crimes units and enterprise security teams. From incident intake through attribution, legal action, and threat actor intelligence retention.
View templateWe'll walk you through how Hubstream works with your existing systems, your case types, and your team's actual workflow — not a generic demo.