BI & OSINT Tools
Turn raw signal
into decisions that hold.
Overview
We build custom data tooling for teams that have outgrown generic BI. From collection to dashboard — ingestion pipelines, transformation layers, and OSINT workflows that surface what matters and ignore what doesn’t.
What we build
- End-to-end data pipelines: collection, transformation, serving
- OSINT workflows — web, document, and structured-source intelligence
- Dashboards that answer questions, not just display numbers
- Entity resolution and graph-based analytics
- Alerting on anomalies and patterns, not thresholds
- Data governance — lineage, access control, retention
When you need this
Generic BI platforms work until they don’t. When your questions outgrow the tooling, custom is faster than fighting a platform that wasn’t designed for your domain.
- Dashboards that don’t answer the questions stakeholders actually ask
- Data stuck in silos across systems that don’t talk to each other and never will natively
- Off-the-shelf BI tools that model a generic business, not your specific domain
- Open-source intelligence gathering still done manually by analysts copying between tabs
- Decisions made on lagging, sampled, or incomplete data because the fresh signal is too slow
- Need to correlate structured internal data with unstructured external sources (documents, web, feeds)
- Analysts drowning in data but starved for insight
Common challenges we solve
- Data engineering team as the bottleneck between raw sources and usable insight for everyone else
- Dashboard proliferation: hundreds of reports, none owned, none authoritative, none trusted
- Entity resolution handled ad-hoc per query instead of as a first-class system capability
- Anomaly detection based on hard thresholds that need constant manual tuning as reality drifts
- Data governance retrofitted after the fact instead of designed in from collection forward
- Hand-crafted scrapers and pipelines that break on every upstream change, with no one on call
- Analyst time spent on data plumbing instead of investigation
Outcomes we deliver
- Decision-makers get answers in minutes, not week-long analyst loops
- Source-to-dashboard lineage traceable end-to-end for every number on every chart
- Entity graphs that surface relationships across previously-siloed structured and unstructured sources
- Alerting on patterns and anomalies instead of brittle thresholds — measurably fewer false positives
- Data governance as a property of the pipeline, not a manual quarterly review
- Analysts freed from data plumbing to do higher-value investigative and interpretive work
- Pipelines that fail loudly and recover gracefully when upstream sources change shape
Tech stack
Talk to us
Drowning in data, starved for answers? hello@byteherder.com