The platforms and acceleratorsbehind every delivery promise.

• Knowledge discovery across the full document estate: topics, domains, relationships, duplicates and conflicts
• Structured articles with summaries, metadata, confidence scores and source-backed citations
• Human review and publishing workflow to approve, edit or reject every article
• Governed Team Spaces for Technical, HR, Security and policy knowledge, open to the whole organization

Enterprises whose knowledge sits across PDFs, Word files, Markdown and shared drives, and who need one governed, citation-backed source of truth.

Every answer traces to its source document and is approved by a person before it publishes.

• PHI and PII leak detection across logs, storage and network calls
• Data security checks on encryption (SQLCipher), keychain use and secrets
• Correctness review of network, database and Objective-C code
• Severity-graded verdicts from a read-only reviewer that never edits code

Healthcare apps handling patient data that need a compliance gate on every pull request. Retargetable to finance and legal.

Drops into any repository as a read-only pre-merge or pre-push gate with minimal setup.

• Vision-to-SQL agents that read dashboard screenshots and write the matching query for each metric
• Parallel validation across unlimited clients, with root-cause analysis and query auto-fix
• A daily runner that reruns every check at zero additional token cost after setup
• A Match, Not Match or Not Visible verdict for every metric

Teams running Power BI or any BI dashboards across many clients or tenants. Also reusable to validate data after a migration.

Daily audits move from hours of hand-written SQL to a 15-minute, no-code routine.

• A five-step LLM pipeline: summarize, generate queries, fetch logs, group root causes, analyze code
• Case memory that matches root-cause signatures to flag recurring issues
• A GitHub MCP agent that ties each failure to the commits and PRs in its time window
• Plugin architecture with swappable data source, LLM and log backend

AWS data and ETL teams on Glue, Lambda or DataSync with CloudWatch or Grafana logs. Extendable to non-AWS stacks.

Failure triage drops from about 45 minutes to seconds, with a two person-day handoff.

• Ticket retrieval through Jira MCP
• Codebase analysis that traces the flow and finds the exact change point
• End-to-end implementation against your project rules
• Unit tests added or updated by ticket type, then a PR-style self-review

Jira-driven iOS and Objective-C teams, other module-based mobile apps, and onboarding developers to a large codebase.

Rules live in one agent file, so the workflow ports to any Jira project or tech stack.

• Custom interpreter engine running in a Web Worker
• Event-loop scheduler for Web APIs, macrotask and microtask queues in correct drain order
• Timeline playback with step, scrub and breakpoints
• Animated panels for call stack, scopes, timers, object graph and AST

Frontend upskilling programs, pairing and interview sessions on async code, and technical education content.

Browser-based with zero install: paste code and run.