CyberByte Data & Technology Services · Est. 2007
We turn raw information
into structured systems & software.
CBDTS is a service-based technology & data company. We build end-to-end websites, apps and automation, and we convert unstructured content into clean, validated, structured data — reviewed at every stage before it reaches you.
- 1000+
- Customers served
- 1000+
- Projects delivered
- 2007
- Founded
By The Numbers
Services delivered at scale, since 2007.
Every engagement runs through the same review discipline — whether it's the first project or the thousandth.
Growth trajectory
Where delivery time goes
About CyberByte
Since 2007, CBDTS has built the systems and the data behind them.
CyberByte Data & Technology Services (CBDTS) is a service-based company working across two practices: technology development and structured data. Clients come to us either to build something — a website, an app, a workflow — or to turn a pile of unstructured content into data they can actually use. Often, both.
Service-first
We work as an extension of your team — scoped engagements, clear communication, and delivery built around your requirements.
Two disciplines, one team
Technology builds the systems. Data fills them with something trustworthy. Both practices work from the same delivery standards.
Process over promises
We follow an Agile methodology — work is broken into short, reviewable iterations with defined checkpoints, so quality doesn't depend on any one person's memory.
What We Do
Two practices, one delivery standard.
Every engagement falls into technology, data, or both — scoped and delivered to the same standard either way.
End-to-end project development
We design, build, and ship software to your requirements — from a single landing page to a full internal platform.
- Websites & marketing sites
- Web applications
- Mobile applications
- Workflow & internal tools
- Process automation
- Custom, per client requirements
Unstructured to structured data
We turn raw, inconsistent source content into clean, validated, structured data — through a defined five-stage pipeline.
- 1Collect
Source unstructured content from documents, sites, filings, and feeds.
- 2Convert
Transform raw content into a consistent, structured format.
- 3Add Metadata
Tag records with the fields and identifiers downstream systems need.
- 4Validate
Run automated and manual checks against source and schema.
- 5Review
Pass finished data through multiple independent review cycles.
Our Stack
Built with tools that scale.
We pick the stack that fits the engagement — modern frameworks and infrastructure we run in production, not a resume list.
Top Trending DaaS Projects
Data-as-a-Service products in highest demand.
Our full lineup of structured-data products, ranked by relative demand across current clients.
US Code
TrendingThe United States Code maintained as a structured, cross-referenced dataset with title, section, and citation-level metadata.
Federal Regulations
TrendingFederal regulatory text processed end-to-end — collection, conversion, metadata tagging, and validation against source.
State Bills
TrendingStructured, continuously updated dataset of legislative bills across all 50 states, built from raw legislature feeds and filings.
Federal Bills
TrendingCongressional bill text and status data converted from federal source formats into structured, query-ready records.
State Statutes
TrendingFull-text state statutes normalized into a consistent structured schema with section-level metadata and citation linking.
State Admin Code (Regulations)
TrendingState administrative codes converted from source publications into clean, validated, machine-readable regulatory data.
Federal Registers
TrendingDaily Federal Register content converted into structured data with consistent tagging for fast retrieval and reference.
State Registers
TrendingState register filings collected, converted, and reviewed on a recurring publication cycle for downstream legal-data platforms.
Technology Projects
Software we've designed, built, and shipped.
A sample of client platforms, apps, and automation delivered by our technology practice.
Client Portal Rebuild
TrendingNDA / InternalRebuilt a legacy client portal into a modern web app with role-based access, built on React and .NET.
Filing Automation Suite
TrendingNDA / InternalReplaced a manual document-filing workflow with a Django service and RabbitMQ-driven job queue for scheduled processing.
Data Ingestion Monitor
TrendingNDA / InternalReal-time monitoring UI for structured-data ingestion pipelines, built with Angular and a Redis-backed live feed.
Field Ops Mobile App
TrendingNDA / InternalCross-platform field data collection app with offline sync, built with React Native for a distributed field team.
Internal Workflow Dashboard
TrendingNDA / InternalOperations dashboard for tracking engagement status across teams, built on Next.js and deployed via Docker.
Why Clients Stay
Built for teams that can't afford surprises.
Data and software both fail quietly if the process behind them isn't disciplined. Here's how we keep that from happening.
Multi-stage review, always
No dataset or build ships on a single pass. Everything moves through independent review checkpoints before delivery.
Confidentiality by default
Client content, source material, and codebases are handled under NDA as standard practice, not a special request.
Requirements-driven scope
We work from your spec — schema, style guide, or product brief — rather than a fixed template stretched to fit.
Direct communication
One point of contact for the engagement, clear status updates, and no handoffs you didn't agree to.
Since 2007
Nearly two decades delivering data and technology services to clients who depend on accuracy and uptime.
Built to scale with you
Pipelines and codebases are structured so new projects, states, jurisdictions, or features can be added without a rebuild.
Client Feedback
What it's like to work with us.
CyberByte turned years of scanned regulatory filings into a clean, structured dataset we could actually build products on. Their review process caught things our own QA missed.
We handed them a rough spec for a client portal and they delivered a production-ready web app on schedule, with automation that removed a full day of manual work each week.
What stood out was the review discipline — every batch of data passed through multiple validation checks before it reached us. Accuracy has been consistent for years.
Start A Project
Have data to structure or something to build?
Tell us what you're working with — a dataset, a product idea, or both — and we'll get back to you with next steps.