webiq.ms monitors, extracts, and understands the open web at scale — turning an endless firehose of public information into focused, structured signal you can act on.
The open web holds everything your team needs to know — competitor moves, regulatory changes, emerging threats, brand mentions. But reading it at scale is impossible by hand.
Millions of pages change every day. No team has the bandwidth to monitor even a fraction of the sources that matter.
Web pages are formatted for humans, not machines. Extracting clean, actionable data from HTML is a perpetual engineering burden.
By the time a human notices a relevant change — a new filing, a product launch, a threat indicator — the window to act has often passed.
Duplicate content, SEO filler, and irrelevant mentions drown out the handful of data points that genuinely require attention.
// Unfiltered web stream
webiq.ms processes the entire stream, extracts meaning, and delivers only the signal that matters to your specific goals.
Tell webiq.ms what you care about. It handles the rest — continuously watching the web, extracting meaning, and piping structured intelligence into your workflow.
Configure sources, topics, keywords, competitors, and signal types. webiq.ms builds your custom monitoring landscape.
The platform watches your defined sources without interruption — detecting new content, updates, and emerging mentions as they appear.
AI parses unstructured pages into clean, usable data — summarizing, classifying, tagging, and scoring for relevance automatically.
Only what matters reaches you — via timely alerts, structured exports, and direct integrations into the tools your team already uses.
// Intelligence Pipeline
webiq.ms crawls configured sources — websites, news feeds, filings, forums, and more — on a continuous schedule.
Change detection flags new and updated content instantly, filtered against your relevance criteria.
AI summarizes, classifies, detects sentiment, and assigns confidence scores — turning raw pages into intelligence.
Structured data and alerts flow into dashboards, APIs, and integrations — ready to act on without further processing.
Three capability pillars — monitoring, extraction, and delivery — working in concert to give your team a decisive information edge.
Watch sites, feeds, and topics around the clock. No manual checking. No missed updates. Coverage that never sleeps.
Always-OnNew content, updated pages, deleted entries — webiq.ms catches every meaningful change as it happens, not on a delay.
Real-TimeDuplicate content, spam, and irrelevance are filtered automatically. Only genuine signal advances through the pipeline.
AI-FilteredCover orders of magnitude more sources than any human team could manually review — without adding headcount.
Web-ScaleAI transforms raw, unstructured HTML into clean, schema-consistent data — ready for analysis without manual cleanup.
Auto-StructuredEvery piece of content is automatically summarized, classified, and tagged at scale — no human curation required.
LLM-PoweredUnderstand the tone of mentions and detect shifts in sentiment over time — across competitors, brands, or any topic.
Trend AnalysisEach finding is scored against your defined objectives. High-signal items surface at the top; low-signal items are suppressed.
Goal-TunedGet notified the moment something relevant appears — via email, webhook, Slack, or API — with full context included.
Instant DeliveryFeed structured intelligence into dashboards, BI tools, SIEM, or custom workflows. Data arrives ready for analysis, not raw HTML.
API-FirstPurpose-built to support security research and open-source intelligence investigations — with responsible, policy-compliant collection.
Security-Focusedwebiq.ms honors robots directives, rate limits, and source policies — giving you defensible, compliant intelligence at scale.
Policy-CompliantAccess to information is no longer the advantage — it's all public. The edge goes to whoever can make sense of it fastest. That's what webiq.ms delivers.
Continuous monitoring means your intelligence is never more than seconds old — matching the pace at which the web actually changes.
AI triage cuts the noise by 95%+. Analysts see a short list of high-value findings — not an inbox full of raw web content.
Every piece of intelligence arrives pre-structured, summarized, and tagged — ready to flow directly into analysis or reporting.
Automated monitoring and extraction free experts from manual web research — returning their attention to judgment and decision-making.
Cover orders of magnitude more sources than any manual program could sustain — without growing the team or the budget.
Detect emerging threats, competitor moves, and regulatory shifts the moment they appear — not days later in a digest email.
webiq.ms delivers structured data and alerts directly into your existing stack. Intelligence arrives ready to act on — no additional processing.
Full REST API with webhooks, streaming output, and structured JSON responses. Any tool that can receive data can receive webiq.ms intelligence.
webiq.ms is built for organizations that need defensible, compliant web intelligence — with transparency about how data is collected and handled.
| Standard / Principle | Coverage | Status |
|---|---|---|
| SOC 2 Type II | Data security & availability | ✓ Certified |
| GDPR / CCPA | Data privacy & residency | ✓ Compliant |
| Robots.txt Compliance | Source policy respect | ✓ Enforced |
| Rate Limit Adherence | Respectful crawl behavior | ✓ Enforced |
| OSINT Legal Framework | Open-source intel ethics | ✓ Aligned |
| ISO 27001 | Information security management | ✓ Certified |
All extracted data is encrypted at rest and in transit. Source content is processed, not stored indefinitely.
Every collection event, extraction, and alert delivery is logged with timestamps — supporting compliance and forensic review.
Fine-grained RBAC ensures the right intelligence reaches the right teams. SSO and MFA supported across all tiers.
EU data residency, private cloud, and air-gapped on-premises options available for regulated industries.
"We were manually reading through hundreds of regulatory sites each week. webiq.ms automated all of it — and started surfacing changes we'd have missed entirely. It's like having a dedicated analyst for every source that matters."
"Our threat intelligence team was spending 60% of their time on open-source collection. webiq.ms handles that layer automatically — structured, tagged, and ready to act on. Our analysts now spend that time on analysis, not gathering."
"The competitive intelligence we get from webiq.ms is faster and more comprehensive than anything we built in-house. We caught a competitor's product pivot three weeks before it went public — purely from web signals."
You define your intelligence scope during onboarding — specific URLs, domains, topic keywords, and entity names. webiq.ms builds a dynamic source graph from those seeds, expanding to related sources automatically. You can add, remove, or adjust sources at any time through the configuration interface.
Detection latency varies by source type. For high-priority sources and real-time feeds, change detection averages under 60 seconds. Standard web pages are recrawled on adaptive schedules based on their historical change frequency — ensuring fresh coverage without unnecessary load.
Yes. webiq.ms strictly honors robots.txt directives, adheres to crawl rate limits, and only collects publicly available information. Collection is designed around the principles of responsible OSINT — no authentication bypass, no account scraping, and no collection that violates source terms of service.
Every piece of content processed by webiq.ms is returned as a structured JSON object containing: the original source URL and timestamp, an AI-generated summary, classification tags, sentiment score, relevance score against your configured objectives, and extracted named entities. This data is immediately queryable and ready to pipe into any downstream tool.
webiq.ms applies multiple filtering layers: deduplication across sources, relevance scoring against your defined objectives, content quality scoring to filter low-value pages, and user feedback loops that improve filtering accuracy over time. The result is typically a 90–95% reduction in volume compared to unfiltered web data.
webiq.ms is available as a multi-tenant SaaS, single-tenant private cloud in your own environment, and on-premises for regulated industries. EU data residency, FedRAMP-aligned controls, and air-gapped deployments are available for organizations with strict data sovereignty requirements.
The information is public. The advantage is in reading it first. Start turning the open web into structured intelligence today.